Impending Box Impact Warning System for Prevention of Snowplow-Bridge Impacts

Lindeke, Richard R.; Katmale, Hilal; Verma, Ravi · 2008 · ROSA P / University of Minnesota, Duluth. Department of Mechanical and Industrial Engineering

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Summary

This report addresses the recurring safety and economic issue of snowplow dump boxes colliding with fixed obstacles, primarily bridges, in Minnesota. These incidents occur three to four times annually, resulting in vehicle damage, compromised bridge integrity, and immediate hazards to traffic, with costs ranging from $30,000 to $40,000 per incident. The research was motivated by the need for an inexpensive, reliable collision avoidance system to reduce driver cognitive overload and prevent these accidents. The primary objective was to develop a prototype warning system costing under $750 per vehicle that alerts drivers when approaching an obstacle with the box raised to a dangerous height. The methodology involved a comprehensive review of obstacle detection technologies, including radar, sonar, RFID, and Automatic Vehicle Location (AVL) systems. The team selected a low-cost hardware configuration consisting of a Rabbit Semiconductor OP7200 microcontroller, a Garmin 15 H GPS unit, and a GE Security 166 magnetic switch to detect box position. To enable collision avoidance, the researchers developed software to extract bridge data from the Minnesota Department of Transportation’s “BrInfo” database and correlate it with plow route mileposts to create digital obstacle maps. A “Trainer” application was also created to manually input obstacles not present in the database, such as power lines or construction equipment. The resulting Impending Bridge Impact Alerting System (IBIAS) was tested on Mn/DOT and St. Louis County snowplows during the 2007–2008 winter season. The findings indicated that the prototype system was marginally successful but faced significant technical hurdles. The primary issues were computational overhead caused by the high density of obstacles on certain routes and reliability problems with the box position sensor. Additionally, the reliance on the BrInfo database proved insufficient because it lacked data on non-bridge obstacles and contained outdated information regarding certain highway extensions. While the system demonstrated the feasibility of using GPS and map matching for collision warnings, the sensor mounting required redesign, and the software struggled with processing large numbers of obstacle points in real-time. The significance of this work lies in its demonstration that a low-cost, GPS-based warning system is a viable direction for preventing snowplow-bridge impacts, potentially saving substantial costs and improving safety. The study highlights the necessity of integrating comprehensive obstacle data beyond just bridges and improving sensor reliability for field deployment. The authors conclude that while the prototype requires further debugging and sensor refinement, the approach effectively reduces driver stress and offers a practical solution for fleet-wide implementation if the identified technical challenges are resolved.

Key finding

The prototype IBIAS system was successfully deployed on snowplows but encountered operational difficulties related to computational overhead from numerous obstacles and sensor mounting issues.

Methodology

field_study

Provenance

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

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