West Des Moines: A City's Approach to Vehicle-based Technologies

NHTSA · 2018 · ROSA P / United States. Federal Highway Administration

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Summary

This case study examines the City of West Des Moines, Iowa, and its implementation of Integrating Mobile Observations (IMO) technologies to enhance winter maintenance operations. As part of the Federal Highway Administration’s Weather-Savvy Roads initiative, the city sought to proactively manage its transportation network during adverse weather events. West Des Moines, a suburban community with 800 lane miles of pavement, has incrementally upgraded its fleet over a decade to leverage mobile data for improved situational awareness and operational efficiency. The city’s approach involves equipping all 16 snow plow vehicles with Automatic Vehicle Location (AVL) systems, automated spread controls, and sensors that monitor pavement temperature, material spread rates, and plow position. These mobile observations are integrated with a contracted Maintenance Decision Support System (MDSS) and Road Weather Information Systems (RWIS). The MDSS provides real-time recommendations to operators regarding treatment strategies, material types, and application rates based on current conditions. Additionally, the city implemented route optimization software to improve the efficiency of plow routes across arterial, collector, and residential networks, addressing specific challenges such as minimizing snow windrows at intersections. The deployment of IMO technologies yielded significant financial and operational benefits. The primary advantage was a reduction in material usage; by utilizing real-time data to optimize salt application, the city reduced chloride applications by 30 percent while maintaining service levels, resulting in annual savings of approximately $150,000. Route optimization further contributed to agency efficiencies by reducing fuel consumption, wear on the fleet, and the time required to clear roads, generating an additional $50,000 in annual savings. The system also enabled post-event analysis, allowing staff to review storm progression and operational performance to refine future strategies. The study highlights several lessons learned for successful deployment, including the necessity of agency champions to drive implementation, the importance of staff training to overcome resistance to change, and the need for regular sensor calibration. It also notes challenges regarding proprietary vendor systems and the lack of plug-and-play interoperability in the U.S. market, urging agencies to consider long-term support and update availability. Looking forward, West Des Moines aims to unify these technologies into a more automated process and expand public access to real-time plow status maps. Future plans include mounting infrared sensors on plow trucks to gather pavement friction data, further enhancing the agency’s ability to manage winter weather effectively.

Key finding

West Des Moines reduced chloride applications by 30 percent while maintaining the same level of service, saving about $150,000 annually.

Methodology

other

Sample size: 16

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

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