Development of Advanced Weigh-In-Motion (A-WIM) System for Effective Enforcement of Overweight Trucks to Reduce their Socioeconomic Impact on Major Highways

Currently, overweight truck enforcement is generally conducted at static weighing stations or by traffic troopers using a portable weighing scale. Static weighing stations are equipped with truck scales (trucks stop for weighing) or a weigh-in-motion (WIM) system (trucks continue moving while being weighed) to measure the axle weight as well as gross vehicle weight (GVW). As this system requires truck drivers to pull into the weighing station, it is practically impossible to filter all overweight trucks. Similarly, enforcement by traffic troopers is only applied when the truck configuration (size and weight) is suspicious, making it infeasible to detect all overweight trucks. These types of enforcement processes require large amounts of time and resources and are not very effective, resulting in low efficiency. Additionally, the number and weight of trucks has been increasing over the last decade, but the level of enforcement has decreased, indicating that truck companies and drivers know how to bypass weigh stations or avoid traffic troopers. Therefore, there is a need to find more efficient methods for overweight truck enforcement to improve the safety of transportation networks. Advanced Weigh-in-Motion (A-WIM) technologies present a reasonable and practical alternative. The research team will first establish a test bed for the development of the advanced WIM (A-WIM) system by collaborating with local transportation agencies for the selection of the test bed site near a static weighing station. Then, it will develop a set of calibration procedures to guarantee that the level of accuracy is reached and preserved over time.


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Filing Info

  • Accession Number: 01696070
  • Record Type: Research project
  • Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
  • Contract Numbers: 69A3551747124
  • Files: UTC, RIP
  • Created Date: Feb 25 2019 2:33PM