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Road Weather Management > Surveillance, Monitoring, & Prediction > Pavement Conditions


Road weather management systems rely on surveillance data to facilitate decisions on maintenance strategies and driver advisories. Road surface sensors detect the presence of ice and water on the road surface that could affect travelers or road maintenance decisions.


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)

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)

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)