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Road Weather Management > Surveillance, Monitoring, & Prediction


Surveillance, monitoring, and prediction of weather and roadway conditions enable the appropriate management actions to mitigate the impacts of any adverse conditions.


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)

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)

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)

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)