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Road Weather Management


Road weather management activities include road weather information systems (RWIS), winter maintenance technologies, and coordination of operations within and between state DOTs. ITS applications assist with the monitoring and forecasting of roadway and atmospheric conditions, dissemination of weather-related information to travelers, weather-related traffic control measures such as variable speed limits, and both fixed and mobile winter maintenance activities.


Post warning messages on DMS that describe how drivers should react to hazardous conditions rather than just notifying them of the hazard ahead.(04/01/2016)

Ensure good data quality to successfully integrate weather alert system based upon Road Weather Information Systems.(August 2010)

Provide written procedures and training for issuing warnings to Regional Transportation Management Center operators for successful weather integration. (August 2010)

Use the self-evaluation and integration planning process to create wider awareness of the benefits of weather integration to improve TMC operations.(January 2011)

Prepare in advance for severe weather by staffing enough snow plow operators and ensuring that public information systems will be updated with current weather and road conditions.(March 27, 2007 )

Adopt best practices for integrating emergency information into Transportation Management Center (TMC) operations to improve performance and increase public mobility, safety and security.(2/28/2006)

Invest in research and development for emergency integration.(2/28/2006)

Extend the application of emergency integration best practices to further improve emergency operations.(2/28/2006)

Integrate weather information into Transportation Management Center (TMC) operations to enhance the ability of operators to manage traffic in a more responsive and effective way during weather events.(2/28/2006)

Treat maintenance staff as customers and beneficiaries of ATIS information.(5/1/2005)

Treat system operators as the client and consider their perspectives during ATIS project development.(5/1/2005)

Consider how implementing an ATIS system will impact staffing and training requirements.(5/1/2005)

Consider that ATIS deployment in rural and/or remote areas presents special challenges.(5/1/2005)

Minimize problems in creating contractual arrangements for testing a new ITS technology by creating negotiating benchmarks, designing a partnership arrangement, and developing a separate procurement process for different technological components. (3/1/1999)

Carefully select a project manager to be responsible for deployment and testing of new ITS technology.(3/1/1999)

Anticipate challenges with the ITS technology being tested, including problems with software modification and adaptation of previously developed technology.(3/1/1999)

Prepare in advance for severe weather by staffing enough snow plow operators and ensuring that public information systems will be updated with current weather and road conditions.(March 27, 2007 )

Adopt best practices for integrating emergency information into Transportation Management Center (TMC) operations to improve performance and increase public mobility, safety and security.(2/28/2006)

Invest in research and development for emergency integration.(2/28/2006)

Extend the application of emergency integration best practices to further improve emergency operations.(2/28/2006)

Integrate weather information into Transportation Management Center (TMC) operations to enhance the ability of operators to manage traffic in a more responsive and effective way during weather events.(2/28/2006)

Treat maintenance staff as customers and beneficiaries of ATIS information.(5/1/2005)

Treat system operators as the client and consider their perspectives during ATIS project development.(5/1/2005)

Consider how implementing an ATIS system will impact staffing and training requirements.(5/1/2005)

Consider that ATIS deployment in rural and/or remote areas presents special challenges.(5/1/2005)

Provide traveler information in rural areas to allow for good travel decisions in inclement weather and construction season.(November 2001)

Develop a good understanding of what is available from the SCMS and RSU/OBU vendors and develop a system of systems that supports end-to-end testing.(09/13/2016)

Prepare in advance for severe weather by staffing enough snow plow operators and ensuring that public information systems will be updated with current weather and road conditions.(March 27, 2007 )

Adopt best practices for integrating emergency information into Transportation Management Center (TMC) operations to improve performance and increase public mobility, safety and security.(2/28/2006)

Invest in research and development for emergency integration.(2/28/2006)

Extend the application of emergency integration best practices to further improve emergency operations.(2/28/2006)

Integrate weather information into Transportation Management Center (TMC) operations to enhance the ability of operators to manage traffic in a more responsive and effective way during weather events.(2/28/2006)

Investigate procurement alternatives of leasing, buying, or building equipment to minimize operations and maintenance costs.(12/30/2003)

Allocate adequate staff time for planning and management oversight to monitor progress and address issues.(12/30/2003)

Provide accurate and timely road condition and weather forecast information to rural travelers in cold weather regions.(12/30/2003)

Provide traveler information in rural areas to allow for good travel decisions in inclement weather and construction season.(November 2001)

Minimize problems in creating contractual arrangements for testing a new ITS technology by creating negotiating benchmarks, designing a partnership arrangement, and developing a separate procurement process for different technological components. (3/1/1999)

Carefully select a project manager to be responsible for deployment and testing of new ITS technology.(3/1/1999)

Anticipate challenges with the ITS technology being tested, including problems with software modification and adaptation of previously developed technology.(3/1/1999)

During system testing, CV Pilot sites discover the importance of having expertise in detecting and mitigating interferences with radio frequency and GPS signals(12/13/2018)

Refine institutional arrangements when deploying connected vehicle technology to outline the expectations of partners in terms of service, outcomes and reporting.(12/13/2018)

Refine proper antenna placement on connected vehicles (particularly commercial vehicles) to reduce DSRC ‘shadow’ areas where DSRC signal is degraded.(12/13/2018)

Connected vehicle deployers are encouraged to utilize multi-vendor outsourcing and to source suppliers early to create a collaborative environment that enables as much parallel work as possible.(12/13/2018)

Connected vehicle deployers should assess field equipment and organizational capabilities that will be needed to support core CV components.(12/13/2018)

Use current SAE, IEEE, and NTCIP standards with systems engineering content to control architecture and design activities for a connected vehicle network.(09/13/2017)

Use a Weather Responsive Traveler Information system to improve the real-time traffic management capabilities of operations staff during winter weather events by displaying more weather-related messages with a slightly faster advanced notification time.(01/01/2016)

Focus on the integration of business processes at the institutional or programmatic level rather than at the operations level.(2011)

Recognize staffing and communication needs for Advanced Traveler Information Systems (ATIS) projects.(April 2006)

Recognize integration issues in Advanced Traveler Information Systems (ATIS) Projects, and follow the systems engineering approach to establish a project's foundation.(April 2006)

Assess needs and communication infrastructure capabilities for the design of an Advanced Traveler Information System (ATIS).(April 2006)

Integrate various types of road weather information to promote utilization by the public.(2/2/2006)

Improve management and operational procedures during a natural disaster by extending and supporting communication systems and networks. (8/1/2003)

Target training and documentation to reduce barriers to maintenance personnel's adoption of a roadway weather information system.(March 2002)

Use a local SQL Lite database with positional data to improve the performance of GIS applications(10/1/2015)

A mobile weather responsive traffic management system saved the Wyoming DOT more than one person-year of labor costs.(10/1/2015)

A mobile weather responsive traffic management system saved the Wyoming DOT more than one person-year of labor costs.(10/1/2015)

Prepare in advance for severe weather by staffing enough snow plow operators and ensuring that public information systems will be updated with current weather and road conditions.(March 27, 2007 )

Establish a centralized database for all winter maintenance-related weather information.(2/2/2006)

Maximize the value of an RWIS investment for maintenance staff through follow-on staff training and usage tracking.(2/2/2006)

Obtain buy-in from on-the-ground staff to remain aware of potential effective, flexible solutions.

Design the system to withstand the demands of the physical environment in which it will be deployed.(4/1/2002)

Design and tailor system technology to deliver information of useful quality and quantity, that the user can reasonably absorb.(4/1/2002)

Ensure good data quality to successfully integrate weather alert system based upon Road Weather Information Systems.(August 2010)

Provide written procedures and training for issuing warnings to Regional Transportation Management Center operators for successful weather integration. (August 2010)

Use the self-evaluation and integration planning process to create wider awareness of the benefits of weather integration to improve TMC operations.(January 2011)

Ensure compatibility of data format of the field-weather monitoring sensors with the central software in the transportation management center.(01/30/2009)

Beware of challenges involved in developing an integrated statewide operations system for traffic monitoring, incident data capture, weather information, and traveler information—all seamlessly controlled by a central software system. (01/30/2009)

Establish a centralized database for all winter maintenance-related weather information.(2/2/2006)

Maximize the value of an RWIS investment for maintenance staff through follow-on staff training and usage tracking.(2/2/2006)

Integrate various types of road weather information to promote utilization by the public.(2/2/2006)

A simple decision tree model was preferred over more complex regression and neural network models when predicting winter road weather conditions in Iowa.(10/24/2018)

Use a local SQL Lite database with positional data to improve the performance of GIS applications(10/1/2015)

A mobile weather responsive traffic management system saved the Wyoming DOT more than one person-year of labor costs.(10/1/2015)

Invest in high accuracy road weather information to ensure greater usage and reduce winter maintenance costs.(April 2009)

During system testing, CV Pilot sites discover the importance of having expertise in detecting and mitigating interferences with radio frequency and GPS signals(12/13/2018)

Refine institutional arrangements when deploying connected vehicle technology to outline the expectations of partners in terms of service, outcomes and reporting.(12/13/2018)

Refine proper antenna placement on connected vehicles (particularly commercial vehicles) to reduce DSRC ‘shadow’ areas where DSRC signal is degraded.(12/13/2018)

Connected vehicle deployers are encouraged to utilize multi-vendor outsourcing and to source suppliers early to create a collaborative environment that enables as much parallel work as possible.(12/13/2018)

Connected vehicle deployers should assess field equipment and organizational capabilities that will be needed to support core CV components.(12/13/2018)

Use multiple communications protocols (e.g. Cellular, Wifi, DSRC) to transfer data from mobile devices and optimize channel usage based on the use case when using Connected Vehicle systems to enhance weather observations.(03/08/2018)

Take a piecemeal approach to the integration of road weather prediction models, starting with the easily available sources of data and slowly building up capabilities of a modular system.(12/31/2017)

Integrate Road Weather Information Systems program and Transportation Management Centers to improve internal operations practices.(November 2009)

Ensure the accuracy and consistency of an MDSS to build user confidence and trust.(September, 2007)

Build support for the use of an MDSS tool in order to overcome institutional barriers.(September, 2007)

Draw on the strengths of complementary relationships between the public and private sectors for successful implementation of ITS projects.(August 2006)

Adopt best practices for integrating emergency information into Transportation Management Center (TMC) operations to improve performance and increase public mobility, safety and security.(2/28/2006)

Invest in research and development for emergency integration.(2/28/2006)

Extend the application of emergency integration best practices to further improve emergency operations.(2/28/2006)

Integrate weather information into Transportation Management Center (TMC) operations to enhance the ability of operators to manage traffic in a more responsive and effective way during weather events.(2/28/2006)

Ensure compatibility of data format of the field-weather monitoring sensors with the central software in the transportation management center.(01/30/2009)

Minimize problems in creating contractual arrangements for testing a new ITS technology by creating negotiating benchmarks, designing a partnership arrangement, and developing a separate procurement process for different technological components. (3/1/1999)

Carefully select a project manager to be responsible for deployment and testing of new ITS technology.(3/1/1999)

Anticipate challenges with the ITS technology being tested, including problems with software modification and adaptation of previously developed technology.(3/1/1999)

Adopt best practices for integrating emergency information into Transportation Management Center (TMC) operations to improve performance and increase public mobility, safety and security.(2/28/2006)

Invest in research and development for emergency integration.(2/28/2006)

Extend the application of emergency integration best practices to further improve emergency operations.(2/28/2006)

Integrate weather information into Transportation Management Center (TMC) operations to enhance the ability of operators to manage traffic in a more responsive and effective way during weather events.(2/28/2006)

Integrate Road Weather Information Systems program and Transportation Management Centers to improve internal operations practices.(November 2009)

Drivers are more accepting of on-road dynamic messages/warnings than in-vehicle message/warnings.(09/18/2019)

Weather Notification System issues on time alerts 88.9 percent of time, but message coverage remains incomplete.(August 2010)

UDOT winter maintenance program saved $2.2 million per year in labor and material costs for winter maintenance, yielding a benefit-cost ratio of 10:1 by implementing agency coordination and integration policies.(06/30/2011)

In Finland, a benefit-cost analysis supported the deployment of weather information controlled variable speed limits on highly trafficked road segments.(25 March 2006)

In North Carolina, a wet pavement detection system on I-85 yielded a 39 percent reduction in the annual crash rate under wet conditions.(August 2004)

In Salt Lake City, Utah the ADVISE fog warning system tested on a two-mile section of I-215 promoted more uniform traffic flow, reducing vehicle speed variability by 22 percent while speeds increased 11 percent.(June 2003)

A study of travelers on Snoqualmie Pass, WA found that DMS can decrease mean driving speeds and reduce accident severity.(December 2001)

In Tennessee, a fog detection and warning system implemented in 1994 significantly improved safety as no fog-related accidents have occurred since implementation.(October 2000)

An automated wet pavement warning system installed on a freeway ramp in Ft. Lauderdale reduced vehicle speeds by 10.2 mi/hr during heavy rain and by 4.6 mi/hr during periods of light rain. (6-10 August 2000)

In Finland, road weather information posted on dynamic message signs was well perceived and remembered by surveyed drivers; 90 percent deemed variable speed limit signs useful.(December 1995)

In Finland, a road weather information system with variable speed limit signs was projected to decrease the average vehicle speed by 0.4 to 1.4 percent and reduce the annual crash rate by 8 to 25 percent.(December 1995)

In Finland, a road weather information system with variable speed limit signs was projected to yield a benefit-to-cost ratio ranging from 0.6:1 to 1.6:1 depending on the influence of the system on vehicle speeds and crash rate.(December 1995)

In London, an automatic fog detection system that used freeway dynamic message signs to warn drivers of fog reduced traffic speeds by an average of 1.8 mi/h.(1993)

In a mountainous area of Spokane, Washington, 94 percent of travelers surveyed indicated that a road weather information website made them better prepared to travel; 56 percent agreed the information helped them avoid travel delays.(8 January 2004)

In a mountainous region of Spokane, Washington, about one-third of CVOs interviewed would consider changing routes based on the information provided on a road weather information website and highway advisory radio system; however, few could identify viable alternate routes. (8 January 2004)

In Tennessee, a fog detection and warning system implemented in 1994 significantly improved safety as no fog-related accidents have occurred since implementation.(October 2000)

Drivers are more accepting of on-road dynamic messages/warnings than in-vehicle message/warnings.(09/18/2019)

Rapid deployment of DSRC for connected vehicles can save thousands of lives, regardless of whether a later transition to C-V2X proves advantageous.(12/12/2017)

In Salt Lake City, Utah, staff meteorologists stationed at a TOC provided detailed weather forecast data to winter maintenance personnel, reducing costs for snow and ice control activities, and yielding a benefit-to-cost ratio of 10:1.(February 2007)

In Idaho, 80 percent of motorist surveyed who used Road-Weather Integrated Data System information as a traveler information resource indicated that the information they received made them better prepared for adverse weather.(2/2/2006)

In a mountainous area of Spokane, Washington, 94 percent of travelers surveyed indicated that a road weather information website made them better prepared to travel; 56 percent agreed the information helped them avoid travel delays.(8 January 2004)

In a mountainous region of Spokane, Washington, about one-third of CVOs interviewed would consider changing routes based on the information provided on a road weather information website and highway advisory radio system; however, few could identify viable alternate routes. (8 January 2004)

Final Report of the FORETELL Consortium Operational Test: Weather Information for Surface Transportation(April 2003)

In Washington State, 80 percent of winter maintenance personnel that used the statewide road/weather information website said the National Weather Service warnings, satellite and radar images, and weather maps were useful.(March 2002)

A study of travelers on Snoqualmie Pass, WA found that DMS can decrease mean driving speeds and reduce accident severity.(December 2001)

In Finland, a road weather information system was estimated to save an average of 23 minutes per de-icing activity and improve traffic conditions.(1993)

In Finland, a road weather information system was estimated to improve response times for road treatments, decrease the duration of slippery road conditions by 10 to 30 minutes, and eliminate 3 to 17 percent of crashes.(1993)

Use of a Weather Responsive Traveler Information System in Michigan results in statewide decrease of user delay costs (UDC) of between 25 and 67 percent during National Weather Service Advisories and Warnings.(01/01/2016)

Between 80 and 87 percent of users of the South Dakota Regional Traveler Information System for WRTM found the information valuable.(11/01/2015)

A Maintenance Decision Support System (MDSS) in Denver Colorado helped reduce maintenance operations labor hours, and had a benefit / cost ratio of 1.34.(December 7, 2009)

A Maintenance Decision Support System (MDSS) used by MaineDOT aided maintenance crews by providing visual aids to track storms, recommending treatments, extending trend forecasts, and creating training opportunities.(September, 2007)

Fixed automated spray technology systems for bridges in North Dakota produce 1.3 to 4.3 benefit-cost ratio over their twenty year lifecycle.(October 2009)

Total crashes were reduced by 50-66 percent on bridge decks in North Dakota utilizing fixed automated spray technologies for anti-icing.(October 2009)

In Indiana during the 2008-2009 snow and ice season, the implementation of a Maintenance Decision Support System (MDSS) resulted in statewide savings of $9,978,536 (188,274 tons) in salt usage and $979,136 (41,967 hours) in overtime compensation from the previous winter season.(2009)

Automatic anti-icing systems on bridges reduced crashes by 25 to 100 percent and benefit-to-cost ratios ranged from 1.8:1 to 3.4:1.(August 2003)

In Vantage, Washington an automated anti-icing system installed on I-90 had a benefit-to-cost ratio of 2.36:1, with benefits including fewer winter weather-related crashes and more efficient use of abrasives.(7-11 January 2001)

In Vantage, Washington the deployment of an automated anti-icing system on I-90 was projected to eliminate up to 80 percent of snow and ice related crashes.(7-11 January 2001)

Study using connected vehicle speed data finds snowplows improve minimum driving speeds by up to 19 mi/h in inclement weather conditions.(8/1/2016)

A mobile weather responsive traffic management system saved the Wyoming DOT more than one person-year of labor costs.(10/1/2015)

Maintenance Decision Support System (MDSS) use shows benefit-cost ratios ranging from 1.33 to 8.67.(May 12, 2009)

Use of weather information shows benefit-cost ratios of 1.8 to 36.7, with winter maintenance costs reduced by $272,000 to $814,000.(April 2009)

Utah DOT's Weather Operations/RWIS program provides a benefit-cost ratio of 11:1 from reduction in winter maintenance costs.(2008)

A Maintenance Decision Support System (MDSS) used by MaineDOT aided maintenance crews by providing visual aids to track storms, recommending treatments, extending trend forecasts, and creating training opportunities.(September, 2007)

In Salt Lake City, Utah, staff meteorologists stationed at a TOC provided detailed weather forecast data to winter maintenance personnel, reducing costs for snow and ice control activities, and yielding a benefit-to-cost ratio of 10:1.(February 2007)

In Denver, Colorado, anti-icing on interstate freeways reduced snow and ice related crashes by 14 percent.(19 August 2005.)

Evaluation data show that anti-icing and pre-wetting strategies can reduce sanding applications by 20 to 30 percent, decrease chemical applications by 10 percent, and reduce chloride and sediment runoff in local waterways.(19 August 2005.)

Evaluation data show that anti-icing programs can cut snow and ice control costs in half.(19 August 2005.)

In Kamloops, British Columbia, anti-icing winter maintenance operations cost 58 percent less than traditional winter maintenance operations that involve granular salt.(2004)

In British Columbia, the City of Kamloops experienced a seven percent decrease in snow and ice-related crashes following the introduction of pre-wetting and anti-icing techniques.(2004)

A survey of State and local transportation agencies found that AVL applications for highway maintenance can have benefit-to-cost ratios ranging from 2.6:1 to 24:1 or higher.(January 2004)

Implementation of an anti-icing program in northern Idaho reduced winter maintenance labor hours by 62 percent and decreased abrasives usage by 83 percent.(20 March 2001)

An anti-icing program implemented by the Idaho Transportation Department resulted in a 83 percent decline in winter crash frequency.(20 March 2001)

Developers claim that the equipment and operating cost for winter maintenance has been reduced by $11million to $14 million, due to the Indiana state DOT implementation of the Computer Aided System for Planning Efficient Routes (CASPER) system. (October 1997)

In Finland, a road weather information system was projected to yield a benefit-to-cost ratio of 5:1 by reducing annual vehicle costs, and improving motorist travel time and safety.(1993)

In Finland, a road weather information system was estimated to save an average of 23 minutes per de-icing activity and improve traffic conditions.(1993)

In Finland, a road weather information system was estimated to improve response times for road treatments, decrease the duration of slippery road conditions by 10 to 30 minutes, and eliminate 3 to 17 percent of crashes.(1993)

The Wisconsin DOT used an ice detection system and a snow forecasting model to aid in the dispatch of snow plows and deicers saving 4 hours per person for each significant storm (a value of around $144,000/storm), and approximately $75,000 in salt.(March/April 1990)

Friction sensors help Colorado DOT improve winter road safety while saving an estimated $1 million+ in material costs.(10/02/2018)

A Maintenance Decision Support System (MDSS) used by MaineDOT aided maintenance crews by providing visual aids to track storms, recommending treatments, extending trend forecasts, and creating training opportunities.(September, 2007)

Winter maintenance personnel indicated that road weather information systems improved the efficiency of response strategies, reduced maintenance costs (staff, equipment and materials), assisted with crew scheduling, and improved data sharing.(March 2001)

Winter maintenance personnel indicated that road weather information systems and anti-icing techniques reduce the frequency of crashes and insurance claims. (March 2001)

Winter maintenance personnel indicated that anti-icing techniques limit snow/ice bonding on roadways, improve plow efficiency, reduce the time required to clear snow/ice from roadways, reduce maintenance costs (overtime pay and materials), and reduce the need for abrasive cleanup activities.(March 2001)

Winter maintenance personnel indicated that road weather information systems reduced travel times, and anti-icing techniques decreased the need for road closures.(March 2001)

Winter maintenance personnel indicated that road weather information systems decrease salt usage, and anti-icing techniques limit damage to roadside vegetation, groundwater, and air quality (where abrasives are applied). (March 2001)

A weather responsive signal control system installed on a busy corridor in Utah improved travel times by 3 percent and reduced overall stopped times by 14.5 percent during severe winter weather events.(10/13/2013)

Respondents surveyed after two winter storms reported 83 and 95 percent satisfaction respectively per storm with UDOT's mobile traffic app and road weather reporting system.(10/13/2013)

Weather Notification System issues on time alerts 88.9 percent of time, but message coverage remains incomplete.(August 2010)

Rural Road Weather Information System deployments show estimated benefit-cost ratios of 2.8 to 7.0.(January 2010)

Use of weather information shows benefit-cost ratios of 1.8 to 36.7, with winter maintenance costs reduced by $272,000 to $814,000.(April 2009)

Utah DOT's Weather Operations/RWIS program provides a benefit-cost ratio of 11:1 from reduction in winter maintenance costs.(2008)

A Maintenance Decision Support System (MDSS) used by MaineDOT aided maintenance crews by providing visual aids to track storms, recommending treatments, extending trend forecasts, and creating training opportunities.(September, 2007)

In Salt Lake City, Utah, staff meteorologists stationed at a TOC provided detailed weather forecast data to winter maintenance personnel, reducing costs for snow and ice control activities, and yielding a benefit-to-cost ratio of 10:1.(February 2007)

In Finland, a benefit-cost analysis supported the deployment of weather information controlled variable speed limits on highly trafficked road segments.(25 March 2006)

In Oregon, approximately 90 percent of motorists surveyed indicated that they would slow down in response to messages displayed by an automated high wind warning system.(February 2006)

In Oregon, the benefit-to-cost ratios for two automated wind warning systems were 4.13:1 and 22.80:1.(February 2006)

In a mountainous area of Spokane, Washington, 94 percent of travelers surveyed indicated that a road weather information website made them better prepared to travel; 56 percent agreed the information helped them avoid travel delays.(8 January 2004)

In a mountainous region of Spokane, Washington, about one-third of CVOs interviewed would consider changing routes based on the information provided on a road weather information website and highway advisory radio system; however, few could identify viable alternate routes. (8 January 2004)

In Kamloops, British Columbia, anti-icing winter maintenance operations cost 58 percent less than traditional winter maintenance operations that involve granular salt.(2004)

In British Columbia, the City of Kamloops experienced a seven percent decrease in snow and ice-related crashes following the introduction of pre-wetting and anti-icing techniques.(2004)

In Salt Lake City, Utah the ADVISE fog warning system tested on a two-mile section of I-215 promoted more uniform traffic flow, reducing vehicle speed variability by 22 percent while speeds increased 11 percent.(June 2003)

In Tennessee, a low visibility warning system installed on I-75 dramatically reduced fog-related crashes.(May 2003)

Final Report of the FORETELL Consortium Operational Test: Weather Information for Surface Transportation(April 2003)

In Vantage, Washington an automated anti-icing system installed on I-90 had a benefit-to-cost ratio of 2.36:1, with benefits including fewer winter weather-related crashes and more efficient use of abrasives.(7-11 January 2001)

In Vantage, Washington an automated anti-icing system installed on I-90 had a benefit-to-cost ratio of 2.36:1, with benefits including fewer winter weather-related crashes and more efficient use of abrasives.(7-11 January 2001)

In Vantage, Washington the deployment of an automated anti-icing system on I-90 was projected to eliminate up to 80 percent of snow and ice related crashes.(7-11 January 2001)

On the A16 Motorway in the Netherlands, an automatic fog warning system prompted drivers to slow down by 8 to 10 km/hr and drive at more uniform speeds; however, during extremely foggy conditions the system increased the average vehicle speed by 31 km/hr matching the recommended speed.(1995)

In Finland, a road weather information system was projected to yield a benefit-to-cost ratio of 5:1 by reducing annual vehicle costs, and improving motorist travel time and safety.(1993)

In Finland, a road weather information system was estimated to save an average of 23 minutes per de-icing activity and improve traffic conditions.(1993)

In London, an automatic fog detection system that used freeway dynamic message signs to warn drivers of fog reduced traffic speeds by an average of 1.8 mi/h.(1993)

In Finland, a road weather information system was estimated to improve response times for road treatments, decrease the duration of slippery road conditions by 10 to 30 minutes, and eliminate 3 to 17 percent of crashes.(1993)

A mobile weather responsive traffic management system saved the Wyoming DOT more than one person-year of labor costs.(10/1/2015)

A weather responsive signal control system installed on a busy corridor in Utah improved travel times by 3 percent and reduced overall stopped times by 14.5 percent during severe winter weather events.(10/13/2013)

Respondents surveyed after two winter storms reported 83 and 95 percent satisfaction respectively per storm with UDOT's mobile traffic app and road weather reporting system.(10/13/2013)

Rural Road Weather Information System deployments show estimated benefit-cost ratios of 2.8 to 7.0.(January 2010)

A Maintenance Decision Support System (MDSS) used by MaineDOT aided maintenance crews by providing visual aids to track storms, recommending treatments, extending trend forecasts, and creating training opportunities.(September, 2007)

In Salt Lake City, Utah, staff meteorologists stationed at a TOC provided detailed weather forecast data to winter maintenance personnel, reducing costs for snow and ice control activities, and yielding a benefit-to-cost ratio of 10:1.(February 2007)

In Finland, a benefit-cost analysis supported the deployment of weather information controlled variable speed limits on highly trafficked road segments.(25 March 2006)

Evaluation data show that anti-icing and pre-wetting strategies can reduce sanding applications by 20 to 30 percent, decrease chemical applications by 10 percent, and reduce chloride and sediment runoff in local waterways.(19 August 2005.)

Evaluation data show that anti-icing programs can cut snow and ice control costs in half.(19 August 2005.)

In North Carolina, a wet pavement detection system on I-85 yielded a 39 percent reduction in the annual crash rate under wet conditions.(August 2004)

In a mountainous area of Spokane, Washington, 94 percent of travelers surveyed indicated that a road weather information website made them better prepared to travel; 56 percent agreed the information helped them avoid travel delays.(8 January 2004)

In a mountainous region of Spokane, Washington, about one-third of CVOs interviewed would consider changing routes based on the information provided on a road weather information website and highway advisory radio system; however, few could identify viable alternate routes. (8 January 2004)

In Kamloops, British Columbia, anti-icing winter maintenance operations cost 58 percent less than traditional winter maintenance operations that involve granular salt.(2004)

In British Columbia, the City of Kamloops experienced a seven percent decrease in snow and ice-related crashes following the introduction of pre-wetting and anti-icing techniques.(2004)

Final Report of the FORETELL Consortium Operational Test: Weather Information for Surface Transportation(April 2003)

In Vantage, Washington an automated anti-icing system installed on I-90 had a benefit-to-cost ratio of 2.36:1, with benefits including fewer winter weather-related crashes and more efficient use of abrasives.(7-11 January 2001)

In Vantage, Washington the deployment of an automated anti-icing system on I-90 was projected to eliminate up to 80 percent of snow and ice related crashes.(7-11 January 2001)

An automated wet pavement warning system installed on a freeway ramp in Ft. Lauderdale reduced vehicle speeds by 10.2 mi/hr during heavy rain and by 4.6 mi/hr during periods of light rain. (6-10 August 2000)

In Finland, a road weather information system was projected to yield a benefit-to-cost ratio of 5:1 by reducing annual vehicle costs, and improving motorist travel time and safety.(1993)

In Finland, a road weather information system was estimated to save an average of 23 minutes per de-icing activity and improve traffic conditions.(1993)

In Finland, a road weather information system was estimated to improve response times for road treatments, decrease the duration of slippery road conditions by 10 to 30 minutes, and eliminate 3 to 17 percent of crashes.(1993)

The Wisconsin DOT used an ice detection system and a snow forecasting model to aid in the dispatch of snow plows and deicers saving 4 hours per person for each significant storm (a value of around $144,000/storm), and approximately $75,000 in salt.(March/April 1990)

Indiana reduced their total winter maintenance budget by 27 percent for an estimated $11 million savings by implementing a Maintenance Decision Support System (MDSS).(June 2012)

Maintenance Decision Support System (MDSS) use shows benefit-cost ratios ranging from 1.33 to 8.67.(May 12, 2009)

A modeling study compared the benefits of using road weather information systems (RWIS) with the costs of reacting to prevailing weather conditions and found that RWIS technologies could reduce snow and ice control costs by as much as 10 percent.(1991)

An analysis of the I-90 ramp closure system in Minnesota found benefit-cost ratios ranging from 0.13:1 to 3:1 with varying estimates of crash and delay reductions.(October 1999)

During a 1998 snow storm, Mn/DOT reduced roadway clearance costs by 18 percent on I-90 by activating a freeway gate closure system to limit vehicle interference and reduce snow compaction problems that increase work for plows.(October 1999)

A weather responsive signal control system installed on a busy corridor in Utah improved travel times by 3 percent and reduced overall stopped times by 14.5 percent during severe winter weather events.(10/13/2013)

A potential average reduction in rear-end conflicts of approximately 22 percent for moderate volume levels and 43 percent for high volume levels are projected to be most eliminated by a weather-responsive traffic signal system.(11/15/2011)

In Tennessee, a fog detection and warning system implemented in 1994 significantly improved safety as no fog-related accidents have occurred since implementation.(October 2000)

Weather-related traffic signal timing along a Minneapolis/St. Paul corridor reduced vehicle delay nearly eight percent and vehicle stops by over five percent.(1999)

Icy Curve Warning Systems in California reduced the number of annual crashes by 18 percent, and the system was estimated to provide safety benefits of $1.7 million dollars per winter season.(June 2012)

Using a Speed Management System for winter maintenance resulted in zero (100 percent reduction) winter weather related accidents in one section of highway in Snowmass Canyon.(June 2012)

Variable Speed Limit System shows promise; crashes reduced to lowest level in a decade.(October 2010)

In Finland, a benefit-cost analysis supported the deployment of weather information controlled variable speed limits on highly trafficked road segments.(25 March 2006)

In Salt Lake City, Utah the ADVISE fog warning system tested on a two-mile section of I-215 promoted more uniform traffic flow, reducing vehicle speed variability by 22 percent while speeds increased 11 percent.(June 2003)

A study of travelers on Snoqualmie Pass, WA found that DMS can decrease mean driving speeds and reduce accident severity.(December 2001)

In Tennessee, a fog detection and warning system implemented in 1994 significantly improved safety as no fog-related accidents have occurred since implementation.(October 2000)

In Finland, road weather information posted on dynamic message signs was well perceived and remembered by surveyed drivers; 90 percent deemed variable speed limit signs useful.(December 1995)

In Finland, a road weather information system with variable speed limit signs was projected to decrease the average vehicle speed by 0.4 to 1.4 percent and reduce the annual crash rate by 8 to 25 percent.(December 1995)

In Finland, a road weather information system with variable speed limit signs was projected to yield a benefit-to-cost ratio ranging from 0.6:1 to 1.6:1 depending on the influence of the system on vehicle speeds and crash rate.(December 1995)

On the A16 Motorway in the Netherlands, an automatic fog warning system prompted drivers to slow down by 8 to 10 km/hr and drive at more uniform speeds; however, during extremely foggy conditions the system increased the average vehicle speed by 31 km/hr matching the recommended speed.(1995)

In Oregon, approximately 90 percent of motorists surveyed indicated that they would slow down in response to messages displayed by an automated high wind warning system.(February 2006)

In Oregon, the benefit-to-cost ratios for two automated wind warning systems were 4.13:1 and 22.80:1.(February 2006)

New Mexico DOT spent approximately $200,000 to deploy dust control systems in two safety critical locations along I-10.(June 2012)

The cost to operate and maintain UDOTs TI Weather Program is about $140,000 per year.(June 2012)

I-70 Corridor ITS Study identifies system costs for several technology applications.(June 2010)

The Pennsylvania (PA) Turnpike Commission expanded its statewide advanced traveler information system (ATIS) to better inform motorists of traffic, weather, and emergency conditions along the PA Turnpike. The overall project cost was $8.2 million.(April 2006)

In Finland, the average implementation cost for a weather responsive roadside VSL system on a dual carriageway was estimated at 80,000€; average maintenance costs (including replacement costs) were estimated at 3,500 €/km/year. (25 March 2006)

TMC central hardware costs can exceed $200,000 if regional communications and system integration are required.(5 August 2004)

A variable speed limit system consisting of multiple ITS components and covering 40 miles over the Snoqualmie Pass in Washington was designed and implemented for $5 million.(November 2001)

Weather Information Integration into Transportation Management Center estimated at $314,500, with $49,500 in annual maintenance costs. (January 2011)

In Wenatchee, Washington, the construction of a Transportation Management Center (TMC) and the installation of the associated ITS field equipment cost $460,000.(June 2009)

The Pennsylvania (PA) Turnpike Commission expanded its statewide advanced traveler information system (ATIS) to better inform motorists of traffic, weather, and emergency conditions along the PA Turnpike. The overall project cost was $8.2 million.(April 2006)

TMC central hardware costs can exceed $200,000 if regional communications and system integration are required.(5 August 2004)

Detailed costs of road weather information systems deployed at several sites north of Spokane, WA.(8 January 2004)

The highway advisory radio (HAR) system deployed at Blewett/Stevens pass in Washington State included a portable HAR unit ($30,000), and two fixed HAR stations ($15,000 each).(July 2001)

Alaska's NewGen 511 Traveler Information System cost $440k to develop and $140k annually to operate.(April 2010)

From the 511 Deployment Coalition case study: total costs (to design, implement, and operate for one year) averaged $2.5 million among six statewide systems and $1.8 million among three metropolitan systems.(November 2006)

The Pennsylvania (PA) Turnpike Commission expanded its statewide advanced traveler information system (ATIS) to better inform motorists of traffic, weather, and emergency conditions along the PA Turnpike. The overall project cost was $8.2 million.(April 2006)

The cost to enhance the Arizona regional, multi-modal 511 traveler information system was just under $1.5 million.(30 September 2005)

A modeling study evaluated the potential deployment of full ITS capabilities in Cincinnati. The annualized life-cycle cost was estimated at $98.2 million.(May 2005)

Annual operating costs for the Greater Yellowstone Regional Traveler and Weather Information Systems (GYRTWIS) 511 system in Montana were about $196,000 per year for 2004 and 2005.(July 2004 and July 2006)

Sample costs collected by the 511 Deployment Coalition represent what deployers may encounter when planning or implementing a 511 system.(May 2004)

The cost to implement the pre-enhanced Arizona Department of Transportation 511 system was estimated at $355,000; operating costs for 2002 were estimated at $137,000.(17 February 2004)

Detailed costs of road weather information systems deployed at several sites north of Spokane, WA.(8 January 2004)

First year funding for the Nebraska 511 traveler information system was $120,000; estimated annual operations and maintenance costs are $110,000.(December 2001/January 2002)

MDOT spent approximately $100,000 to create an emergency truck parking portal to turn 6 Park and Ride lots into a safe haven to “ride out” winter storms instead of parking on highway ramps, shoulders, and in other unsafe locations(June 2012)

In Yakima, Washington, the deployment of a Traveler Information System cost $333,000.(June 2009)

In Washington State, a traveler information system was installed between the Washington-Oregon border at a cost of $358,000.(June 2009)

Cost estimates for rural ITS in Arizona (ITS maintenance, weather information systems, highway advisory radio, motorist assistance patrols, and training applications) totaled $3.78 million per year for five years.(September 2007)

Maryland State Highway Administration estimated fog warning system addition to existing environmental sensor stations near Big Savage Mountain, Maryland cost $75,000.(7 November 2003)

Twenty year lifecycle costs of fixed spray anti-icing systems ranged from $1,031 to $1,096 per foot for two bridges in North Dakota.(October 2009)

Costs data available for several advanced winter maintenance technologies: automatic vehicle location (AVL) range from $1,250 to $5,800 per vehicle; fixed automated spray technology (FAST) range from $22,000 to $4 million; and a large-scale multi-agency, 400-vehicle winter weather management system costs $8.2 million.(September 2006)

Advanced snowplow control system that improves safety and efficiency of snow removal operations includes in-vehicle costs of $30,000 per snowplow, in-road costs of $18,000 per lane-mile, and annual maintenance costs of approximately $500 per snowplow.(7-9 June 2004)

Initial cost estimate for an anti-icing system on I-90 near Vantage, Washington was $559,500.(7-11 January 2001)

An automatic bridge de-icing system was installed in Dresbach, Minnesota at a cost of $25,000.(June 2000)

Statewide implementation of Maintenance Decision Support System estimated at $332,879.(May 12, 2009)

Statewide implementation of Maintenance Decision Support System estimated at $496,952.(May 12, 2009)

Statewide implementation of Maintenance Decision Support System estimated at $1.5 million.(May 12, 2009)

Costs data available for several advanced winter maintenance technologies: automatic vehicle location (AVL) range from $1,250 to $5,800 per vehicle; fixed automated spray technology (FAST) range from $22,000 to $4 million; and a large-scale multi-agency, 400-vehicle winter weather management system costs $8.2 million.(September 2006)

Advanced snowplow control system that improves safety and efficiency of snow removal operations includes in-vehicle costs of $30,000 per snowplow, in-road costs of $18,000 per lane-mile, and annual maintenance costs of approximately $500 per snowplow.(7-9 June 2004)

AVL technologies for highway maintenance activities, particularly snow removal, cost approximately $3,500 per fleet vehicle.(January 2004)

The addition of various advanced technology applications such as radar, sensors, and control units can add $20,000 to $30,000 to the cost of a regular snowplow.(June 2002)

The Southeast Michigan Snow and Ice Management AVL/GPS system cost approximately $1.862 million.(June 2002)

A Minnesota integrated communications system project to share application of ITS across transportation, public safety, and transit agencies cost just over $1.5 million.(November 2001)

In Washington State, the implementation of the SR 14 Traveler Information System cost $511,300(June 2009)

Statewide Implementation of a Maintenance Decision Suport System (MDSS) in Indiana for FY09 cost $529,000(2009)

Study finds that bridge wind speed alerting system can cost as little as $10,000 per site.(June 2012)

Weather Information integration into TMC Operations estimated at $6,270,000, with $833,000 in annual Operations and Maintenance Cost.(December 15, 2010)

Cost for 6 RWIS totals $55,000 with annual operating cost of $3,800 per unit.(March 2010)

Regional implementation of Road Weather Information System in rural areas ranges from $2,060,000 to $4,020,000.(January 2010)

Statewide implementation of Maintenance Decision Support System estimated at $332,879.(May 12, 2009)

Statewide implementation of Maintenance Decision Support System estimated at $496,952.(May 12, 2009)

Statewide implementation of Maintenance Decision Support System estimated at $1.5 million.(May 12, 2009)

Weather information costs range from $7,140 to $448,000 annually.(April 2009)

In Finland, the average implementation cost for a weather responsive roadside VSL system on a dual carriageway was estimated at 80,000€; average maintenance costs (including replacement costs) were estimated at 3,500 €/km/year. (25 March 2006)

In Oregon, automated wind warning systems cost approximately $90,000 each and annual O&M costs range between $3,000 and $3,500.(February 2006)

A modeling study evaluated the potential deployment of full ITS capabilities in Cincinnati. The annualized life-cycle cost was estimated at $98.2 million.(May 2005)

Detailed costs of road weather information systems deployed at several sites north of Spokane, WA.(8 January 2004)

At a cost of approximately $3.7 million, Ohio DOT added 86 weather stations to its existing road weather information system.(1 December 2003)

Maryland State Highway Administration estimated fog warning system addition to existing environmental sensor stations near Big Savage Mountain, Maryland cost $75,000.(7 November 2003)

The total cost to purchase and implement a road weather information system in Abilene, Texas was $42,010.(January 1998)

In Finland, the average implementation cost for a weather responsive roadside VSL system on a dual carriageway was estimated at 80,000€; average maintenance costs (including replacement costs) were estimated at 3,500 €/km/year. (25 March 2006)

A modeling study evaluated the potential deployment of full ITS capabilities in Cincinnati. The annualized life-cycle cost was estimated at $98.2 million.(May 2005)

Detailed costs of road weather information systems deployed at several sites north of Spokane, WA.(8 January 2004)

At a cost of approximately $3.7 million, Ohio DOT added 86 weather stations to its existing road weather information system.(1 December 2003)

Maryland State Highway Administration estimated fog warning system addition to existing environmental sensor stations near Big Savage Mountain, Maryland cost $75,000.(7 November 2003)

Initial cost estimate for an anti-icing system on I-90 near Vantage, Washington was $559,500.(7-11 January 2001)

The total cost to purchase and implement a road weather information system in Abilene, Texas was $42,010.(January 1998)

Texas DOT spent $13,000 per location for an upgrade of their pump station monitoring system, to better manage flooding.(June 2012)

Texas DOT spent $75,000 per location to install high water detection systems to avoid flooding disasters.(June 2012)

Louisiana deployed seven flood detection and traffic evacuation monitoring stations for approximately $200,000.(11/1/2003)

System costs for traffic surveillance and road weather information systems were projected for upstate California.(06/14/2019)

CCTV Camera System(06/14/2019)

CCTV Camera System(06/14/2019)

Study finds that costs of procuring private sector data to support WRTM can range from $28,000 to $200,000 per year.(October 18, 2012)

Weather Information Integration into Transportation Management Center estimated at $314,500, with $49,500 in annual maintenance costs. (January 2011)

In Nisqually Valley, Washington, an Ice Warning System consisting of a road weather information system (RWIS) station and closed-circuit television (CCTV) camera cost $165,000.(June 2009)

In Wenatchee, Washington, the construction of a Transportation Management Center (TMC) and the installation of the associated ITS field equipment cost $460,000.(June 2009)

In Yakima, Washington, the deployment of a Traveler Information System cost $333,000.(June 2009)

Statewide Implementation of a Maintenance Decision Suport System (MDSS) in Indiana for FY09 cost $529,000(2009)

In Finland, the average implementation cost for a weather responsive roadside VSL system on a dual carriageway was estimated at 80,000€; average maintenance costs (including replacement costs) were estimated at 3,500 €/km/year. (25 March 2006)

A variable speed limit system consisting of multiple ITS components and covering 40 miles over the Snoqualmie Pass in Washington was designed and implemented for $5 million.(November 2001)

In Oregon, automated wind warning systems cost approximately $90,000 each and annual O&M costs range between $3,000 and $3,500.(February 2006)

In Washington State, a traveler information system was installed between the Washington-Oregon border at a cost of $358,000.(June 2009)

Connected vehicle deployment that aims to reduce the impact of adverse weather on truck travel on the I-80 corridor in Wyoming was estimated to cost $5.76 million.(08/11/2016)

Road Weather Information System (RWIS) Environmental Sensor Station (ESS) - Capital cost/unit - $1080293(2013)

Truck Curve Warning and High Wind Warning System for Bridge - Capital cost/unit - $572000 - Lifetime - 20 years(3/18/2006)

Variable Message Sign - Capital cost/unit - $75000 - O&M cost/unit - $3000 - Lifetime - 7 years(8/28/2002)

Variable Message Sign Tower - Capital cost/unit - $16500 - Lifetime - 20 years(8/28/2002)

Variable Message Sign - Capital cost/unit - $50000 - O&M cost/unit - $1000 - Lifetime - 10 years(7/31/2001)

Variable Message Sign Tower - Capital cost/unit - $48000 - Lifetime - 10 years(7/31/2001)

Variable Message Sign Tower - Capital cost/unit - $65945 - O&M cost/unit - $2000 - Lifetime - 20 years(6/29/2001)

Highway Advisory Radio - Capital cost/unit - $26000(8 January 2004)

Highway Advisory Radio - Capital cost/unit - $57500 - O&M cost/unit - $1200 - Lifetime - 10 years(8/28/2002)

Highway Advisory Radio Sign - Capital cost/unit - $4000 - O&M cost/unit - $250 - Lifetime - 7 years(8/28/2002)

Highway Advisory Radio - Capital cost/unit - $51606 - O&M cost/unit - $5000 - Lifetime - 10 years(6/29/2001)

Highway Advisory Radio - Capital cost/unit - $25000 - O&M cost/unit - $150 - Lifetime - 10 years(6/12/2001)

Highway Advisory Radio Sign - Capital cost/unit - $5000 - O&M cost/unit - $250 - Lifetime - 10 years(6/12/2001)

Highway Advisory Radio - Capital cost/unit - $30000 - O&M cost/unit - $700 - Lifetime - 20 years(5/29/2001)

Roadside Probe Beacon - Capital cost/unit - $6000 - O&M cost/unit - $600 - Lifetime - 5 years(5/29/2001)

In-vehicle Mobile Data Collection (MDC) hardware - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

In-vehicle Moblile Data Collection (MDC) hardware - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Maintenance Decision Support System (MDSS) Traning - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Moblie Data Collection (MDC) Communications - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Maintenance Decision Support System (MDSS) Traning - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Moblie Data Collection (MDC) Communications - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

MDSS Software and Operations - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

In-vehicle Moblile Data Collection (MDC) hardware - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Maintenance Decision Support System (MDSS) Traning - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

MDSS Software and Operations - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

MDSS Software and Operations - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Moblie Data Collection (MDC) Communications - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Data Modem Cable Kit - Capital cost/unit - $100 - Lifetime - 10 years(06/25/2002)

Automatic Timer Switch for AVL System - Capital cost/unit - $50 - Lifetime - 10 years(06/25/2002)

900 MHz Conventional Radio - Capital cost/unit - $700 - Lifetime - 10 years(06/25/2002)

Mobile Collinear Antenna - Capital cost/unit - $20 - Lifetime - 10 years(06/25/2002)

GPS Antenna - Capital cost/unit - $40 - Lifetime - 10 years(06/25/2002)

Program Management Support to Design a Multi-agency AVL System - Capital cost/unit - $1524400(02/03/2002)

Systems Engineering Support to Test a Multi-Agency AVL System - Capital cost/unit - $609800(02/03/2002)

Technical Support to Evaluate a Multi-agency AVL System - Capital cost/unit - $125000(02/03/2002)

Electrical pull box - Capital cost/unit - $22(11/30/2017)

Ethernet switch - Capital cost/unit - $295(11/30/2017)

Fiber Optic - Capital cost/unit - $22(11/30/2017)

Weather station - Capital cost/unit - $295(11/30/2017)

Ethernet Switch - Capital cost/unit - $22(11/30/2017)

Fiber Optic - Capital cost/unit - $22(11/30/2017)

Tower (ITS) - Capital cost/unit - $22(11/30/2017)

Fiber optic cable - Capital cost/unit - $295(11/30/2017)

Weather station - Capital cost/unit - $295(11/30/2017)

Fiber optic termination panel - Capital cost/unit - $295(11/30/2017)

Electrical pull box - Capital cost/unit - $22(11/30/2017)

Light pole - Capital cost/unit - $22(11/30/2017)

Electrical wiring - Capital cost/unit - $22(11/30/2017)

Weather station - Capital cost/unit - $295(11/30/2017)

Weather Monitoring System - Capital cost/unit - $22(11/30/2017)

Light Pole foundation - Capital cost/unit - $22(11/30/2017)

Equipment tower - Capital cost/unit - $295(11/30/2017)

Fiber optic termination panel - Capital cost/unit - $295(11/30/2017)

Ethernet switch - Capital cost/unit - $295(11/30/2017)

Electrical service meter cabinet - Capital cost/unit - $22(11/30/2017)

Cellular modem - Capital cost/unit - $22(11/30/2017)

Electrical conduit - Capital cost/unit - $22(11/30/2017)

Fiber optic cable - Capital cost/unit - $295(11/30/2017)

Equipment tower - Capital cost/unit - $295(11/30/2017)

Electrical conduit - Capital cost/unit - $22(11/30/2017)

Equipment tower - Capital cost/unit - $295(11/30/2017)

Weather station - Capital cost/unit - $295(11/30/2017)

Fiber optic termination panel - Capital cost/unit - $295(11/30/2017)

Ethernet switch - Capital cost/unit - $295(11/30/2017)

Weather station - Capital cost/unit - $295(11/30/2017)

Weather station - Capital cost/unit - $295(11/30/2017)

Fiber optic cable - Capital cost/unit - $295(11/30/2017)

Electrical wiring - Capital cost/unit - $22(07/04/2016)

Light pole foundation - Capital cost/unit - $22(07/04/2016)

Electrical pull box - Capital cost/unit - $22(07/04/2016)

Cellular modem - Capital cost/unit - $22(07/04/2016)

Weather monitoring system - Capital cost/unit - $22(07/04/2016)

Ethernet switch - Capital cost/unit - $22(07/04/2016)

Electrical conduit - Capital cost/unit - $22(07/04/2016)

Electrical pull box - Capital cost/unit - $22(07/04/2016)

Electrical service meter cabinet - Capital cost/unit - $22(07/04/2016)

Tower (ITS) - Capital cost/unit - $22(07/04/2016)

Light pole - Capital cost/unit - $22(07/04/2016)

Electrical conduit - Capital cost/unit - $22(07/04/2016)

RWIS station - Capital cost/unit - $12670(2/4/2013)

RWIS station - Capital cost/unit - $12670(2/4/2013)

RWIS station - GHG monitor - Capital cost/unit - $12670(2/4/2013)

Road Weather Information System (RWIS) Environmental Sensor Station (ESS) - Capital cost/unit - $1080293(2013)

Road Weather Information System (RWIS) Environmental Sensor Station (ESS) - Capital cost/unit - $1080293(2013)

Road Weather Information System (RWIS) Environmental Sensor Station (ESS) - Capital cost/unit - $1080293(2013)

Road weather information systems (high estimate) - Capital cost/unit - $50000(November 19, 2010)

Road weather information systems (low estimate) - Capital cost/unit - $50000(November 19, 2010)

Visibility Sensor - Capital cost/unit - $104100 - O&M cost/unit - $4310 - Lifetime - 10 years(2007)

In-vehicle Mobile Data Collection (MDC) hardware - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

In-vehicle Moblile Data Collection (MDC) hardware - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Maintenance Decision Support System (MDSS) Traning - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Moblie Data Collection (MDC) Communications - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Maintenance Decision Support System (MDSS) Traning - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Moblie Data Collection (MDC) Communications - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

MDSS Software and Operations - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

In-vehicle Moblile Data Collection (MDC) hardware - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Maintenance Decision Support System (MDSS) Traning - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

MDSS Software and Operations - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

MDSS Software and Operations - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Moblie Data Collection (MDC) Communications - Capital cost/unit - $2000 - O&M cost/unit - $200 - Lifetime - 5 years(May 12, 2009)

Wind Speed Sensor - Lifetime - 10 years(January 2008)

Environmental Sensing Station (Weather Station) - Capital cost/unit - $7500 - O&M cost/unit - $1200 - Lifetime - 10 years(6/29/2007)

Environmental Sensing Station (Weather Station) - Capital cost/unit - $60000 - O&M cost/unit - $2000 - Lifetime - 20 years(07/28/2006)

Pole w/lowering device - Capital cost/unit - $7308 - Lifetime - 20 years(7/21/2006)

Cellular Communication - Capital cost/unit - $6360(6/30/2005)

Telephone Drop - Capital cost/unit - $100 - O&M cost/unit - $12840 - Lifetime - 20 years(6/18/2004)

Telephone Drop - O&M cost/unit - $5016 - Lifetime - 20 years(6/18/2004)

Pole w/lowering device - Capital cost/unit - $4194 - Lifetime - 10 years(6/18/2004)

900 MHz Spread Spectrum Radio - Capital cost/unit - $2000 - Lifetime - 7 years(6/18/2004)

Integration of Camera with Existing Systems - Capital cost/unit - $4000 - Lifetime - 7 years(6/18/2004)

Environmental Sensing Station - Capital cost/unit - $45384(8 January 2004)

Environmental Sensing Station - Capital cost/unit - $44383(8 January 2004)

Modem - Capital cost/unit - $250(12/01/2003)

Portserver - Capital cost/unit - $638(12/01/2003)

Telephone Drop - Capital cost/unit - $100 - O&M cost/unit - $360 - Lifetime - 20 years(12/01/2003)

Environmental Sensing Station - Capital cost/unit - $180000 - Lifetime - 5 years(12/01/2003)

Telephone Drop Line Extension to Terminal - Capital cost/unit - $150 - Lifetime - 20 years(12/01/2003)

Environmental Sensing Station - Capital cost/unit - $65000 - Lifetime - 5 years(12/01/2003)

Telephone Drop Line Extension to Terminal - Capital cost/unit - $175 - Lifetime - 20 years(12/01/2003)

Pole w/lowering device - Capital cost/unit - $6000 - Lifetime - 10 years(12/01/2003)

900 MHz Spread Spectrum Radio - Capital cost/unit - $2000 - Lifetime - 7 years(12/01/2003)

Environmental Sensing Station - Capital cost/unit - $112000 - Lifetime - 5 years(12/01/2003)

Environmental Sensing Station - Capital cost/unit - $7500 - O&M cost/unit - $1200 - Lifetime - 10 years(8/28/2002)

Program Management Support to Design a Multi-agency AVL System - Capital cost/unit - $1524400(02/03/2002)

Systems Engineering Support to Test a Multi-Agency AVL System - Capital cost/unit - $609800(02/03/2002)

Technical Support to Evaluate a Multi-agency AVL System - Capital cost/unit - $125000(02/03/2002)

Roadside Weather Information System (RWIS) - Capital cost/unit - $11000 - O&M cost/unit - $440 - Lifetime - 10 years(8/31/2001)

Roadside Weather Information System (RWIS) - Capital cost/unit - $30000 - O&M cost/unit - $1000 - Lifetime - 10 years(7/31/2001)

Roadside Weather Information System (RWIS) - Capital cost/unit - $35493 - O&M cost/unit - $1000 - Lifetime - 10 years(6/29/2001)

Telephone Drop - Capital cost/unit - $9200 - O&M cost/unit - $1333 - Lifetime - 10 years(6/29/2001)

Telephone Drop - Capital cost/unit - $150 - O&M cost/unit - $30 - Lifetime - 10 years(6/12/2001)

Roadside Weather Information System (RWIS) - Capital cost/unit - $42000 - O&M cost/unit - $400 - Lifetime - 10 years(6/12/2001)

Cellular Communication - Capital cost/unit - $1100 - O&M cost/unit - $40 - Lifetime - 10 years(6/12/2001)

Telephone Drop - Capital cost/unit - $700 - O&M cost/unit - $400 - Lifetime - 20 years(5/29/2001)

Roadside Weather Information System (RWIS) - Capital cost/unit - $47000 - O&M cost/unit - $2000 - Lifetime - 25 years(5/29/2001)

Road Weather Sensor - Capital cost/unit - $16774.94(2/12/2013)

Road Weather Sensor - Capital cost/unit - $16744(2/12/2013)

Road Weather Information System (RWIS) Environmental Sensor Station (ESS) - Capital cost/unit - $1080293(2013)

Road Weather Information System (RWIS) Environmental Sensor Station (ESS) - Capital cost/unit - $1080293(2013)

Road Weather Information System (RWIS) Environmental Sensor Station (ESS) - Capital cost/unit - $1080293(2013)

Road Weather Information System (RWIS) Environmental Sensor Station (ESS) - Capital cost/unit - $1080293(2013)

Road weather information systems (high estimate) - Capital cost/unit - $50000(November 19, 2010)

Road weather information systems (low estimate) - Capital cost/unit - $50000(November 19, 2010)

Environmental Sensing Station (Weather Station) - Capital cost/unit - $60000 - O&M cost/unit - $2000 - Lifetime - 20 years(07/28/2006)

Pole w/lowering device - Capital cost/unit - $7308 - Lifetime - 20 years(7/21/2006)

Telephone Drop - Capital cost/unit - $100 - O&M cost/unit - $12840 - Lifetime - 20 years(6/18/2004)

Telephone Drop - O&M cost/unit - $5016 - Lifetime - 20 years(6/18/2004)

Pole w/lowering device - Capital cost/unit - $4194 - Lifetime - 10 years(6/18/2004)

900 MHz Spread Spectrum Radio - Capital cost/unit - $2000 - Lifetime - 7 years(6/18/2004)

Integration of Camera with Existing Systems - Capital cost/unit - $4000 - Lifetime - 7 years(6/18/2004)

Environmental Sensing Station - Capital cost/unit - $45384(8 January 2004)

Environmental Sensing Station - Capital cost/unit - $44383(8 January 2004)

Modem - Capital cost/unit - $250(12/01/2003)

Portserver - Capital cost/unit - $638(12/01/2003)

Telephone Drop - Capital cost/unit - $100 - O&M cost/unit - $360 - Lifetime - 20 years(12/01/2003)

Environmental Sensing Station - Capital cost/unit - $180000 - Lifetime - 5 years(12/01/2003)

Telephone Drop Line Extension to Terminal - Capital cost/unit - $150 - Lifetime - 20 years(12/01/2003)

Environmental Sensing Station - Capital cost/unit - $65000 - Lifetime - 5 years(12/01/2003)

Telephone Drop Line Extension to Terminal - Capital cost/unit - $175 - Lifetime - 20 years(12/01/2003)

Pole w/lowering device - Capital cost/unit - $6000 - Lifetime - 10 years(12/01/2003)

900 MHz Spread Spectrum Radio - Capital cost/unit - $2000 - Lifetime - 7 years(12/01/2003)

Environmental Sensing Station - Capital cost/unit - $112000 - Lifetime - 5 years(12/01/2003)

ESS Road Temperature Sensor - Capital cost/unit - $400 - Lifetime - 10 years(06/25/2002)

Program Management Support to Design a Multi-agency AVL System - Capital cost/unit - $1524400(02/03/2002)

Systems Engineering Support to Test a Multi-Agency AVL System - Capital cost/unit - $609800(02/03/2002)

Technical Support to Evaluate a Multi-agency AVL System - Capital cost/unit - $125000(02/03/2002)

Roadside Weather Information System (RWIS) - Capital cost/unit - $30000 - O&M cost/unit - $1000 - Lifetime - 10 years(7/31/2001)

Roadside Weather Information System (RWIS) - Capital cost/unit - $42000 - O&M cost/unit - $400 - Lifetime - 10 years(6/12/2001)

Roadside Weather Information System (RWIS) - Capital cost/unit - $47000 - O&M cost/unit - $2000 - Lifetime - 25 years(5/29/2001)

Automated Flood Warning System - Capital cost/unit - $75000 - O&M cost/unit - $6000 - Lifetime - 10 years(6/29/2007)

Automated Flood Warning System - Capital cost/unit - $30000 - O&M cost/unit - $3000 - Lifetime - 10 years(6/19/2006)

RWIS Station - Capital cost/unit - $75000 - O&M cost/unit - $2000(06/14/2019)

RWIS Station - Capital cost/unit - $75000 - O&M cost/unit - $2000(06/14/2019)

Maintain RWIS Equipment - Capital cost/unit - $4500(10/29/2013)

Maintain RWIS Equipment - Capital cost/unit - $4500(10/29/2013)

Maintain RWIS Equipment - Capital cost/unit - $4500(10/29/2013)

Maintain RWIS Equipment - O&M cost/unit - $800(10/29/2013)

RWIS Sensor - Capital cost/unit - $4500(01/01/2012)

RWIS Sensor - Capital cost/unit - $4500(01/01/2012)

RWIS Wireless Sensor - Capital cost/unit - $4500(01/01/2012)

RWIS Wireless Sensor - Capital cost/unit - $4500(01/01/2012)

RWIS Probe - Capital cost/unit - $4500(01/01/2012)

RWIS Sensor - Capital cost/unit - $4500(01/01/2012)

RWIS Probe - Capital cost/unit - $4500(01/01/2012)

RWIS Probe - Capital cost/unit - $4500(01/01/2012)

RWIS Sensor - Capital cost/unit - $4500(01/01/2012)

RWIS Sensor - Capital cost/unit - $4500(01/01/2012)

RWIS Probe - Capital cost/unit - $4500(01/01/2012)

RWIS Probe - Capital cost/unit - $4500(01/01/2012)

Roadway Weather Info. Sys. - Capital cost/unit - $104100 - O&M cost/unit - $4310 - Lifetime - 10 years(2007)

Environmental Sensing Station - Lifetime - 10 years(7/21/2006)

Environmental Sensing Station - Lifetime - 10 years(7/21/2006)

Environmental Sensing Stations (ESSs) - Capital cost/unit - $25000 - O&M cost/unit - $1000 - Lifetime - 10 years(5 August 2004)

Environmental Sensing Stations (ESSs) - Capital cost/unit - $25000 - O&M cost/unit - $1000 - Lifetime - 10 years(5 August 2004)

Environmental Sensing Station - Lifetime - 5 years(6/18/2004)

Portable DMS Rental - Capital cost/unit - $295(11/30/2017)

Portable DMS Rental - Capital cost/unit - $295(11/30/2017)

Portable DMS Rental - Capital cost/unit - $295(11/30/2017)

Contingency - Big Savage - Capital cost/unit - $7000(7 November 2003)

Furnish and install radio transmitter, cabinet, and omni-directional antenna - Big Savage - Capital cost/unit - $5000(7 November 2003)

ESS warning sign - Capital cost/unit - $13000(7 November 2003)

Furnish and install solar panel power system (repeater site and two warning signs) - Big Savage - Capital cost/unit - $7500(7 November 2003)

Environmental Sensing Station (Weather Station) Fog Upgrade - Capital cost/unit - $2500(7 November 2003)

RWIS Software - Capital cost/unit - $5000(7 November 2003)

ESS Contingency - Capital cost/unit - $14000(7 November 2003)

ESS solar panel power system - Capital cost/unit - $7000(7 November 2003)

ESS Electrical power and telephone connect - Capital cost/unit - $5000(7 November 2003)

Contingency - Keysers Ridge - Capital cost/unit - $6000(7 November 2003)

ESS (RWIS station) that provides contact closure under low visibility (fog) conditions - Capital cost/unit - $60000(7 November 2003)