Wisconsin large truck safety and enforcement study.

Bill, Andrea; Serrano, Francisco; Noyce, David A. (David Alan), 1961- · 2011 · ROSA P / National Center for Freight and Infrastructure Research and Education (U.S.)

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Summary

The Wisconsin Large Truck Safety and Enforcement Study (LTS&E), conducted in 2011 by the University of Wisconsin-Madison’s Traffic Operations and Safety Laboratory, Wilbur Smith Associates, and C.J. Petersen & Associates, addresses the need for a system-wide evaluation of large truck safety in Wisconsin. The study was motivated by concerns regarding the safe operation of commercial motor vehicles (CMVs), particularly as truck volumes and vehicle miles traveled (VMT) increased nationally. The research aimed to identify safety trends, analyze crash causation, and evaluate the impact of roadway characteristics and driver behavior on crash severity. The study defined "large trucks" broadly to include vehicles with a gross vehicle weight of 10,000 pounds or more, as well as oversize/overweight vehicles operating with permits. The research employed a three-part methodology. First, Wilbur Smith Associates conducted a high-level comparative analysis using federal databases, including the Fatal Accident Reporting System (FARS) and the Motor Carrier Management Information System (MCMIS), to benchmark Wisconsin’s crash data against national and Midwestern trends. Second, the TOPS Lab performed a detailed statistical analysis of crash severity using MV-4000 crash reports from the WisTransPortal database for the years 2004–2009. This analysis focused on identifying variables that predict crash severity, such as driver factors, roadway conditions, and vehicle configurations. Third, C.J. Petersen & Associates conducted phone interviews with county transportation officials in areas with high crash incidence to gather qualitative insights on engineering-related causes and local infrastructure issues. Key findings indicate that large truck safety in Wisconsin has improved significantly, with fatal CMV crashes declining by 33 percent between 2000 and 2009. Wisconsin’s CMV fatality rate was lower than the national average, ranking 19th among all states. The statistical analysis revealed that driver factors and behavior were the most significant variables determining crash severity, while specific roadway features, such as substandard designs or obsolete geometrics, also contributed to certain crash types. Notably, vehicle and highway factors were excluded from the severity model as they did not vary significantly across severity levels. Single-unit trucks, such as cement mixers and dump trucks, were found to be over-represented in Wisconsin’s crash statistics compared to national averages. Additionally, over 70 percent of large truck crashes occurred in rural areas, particularly on rural collector roads. Interviews with county officials highlighted that driver error was frequently cited as the primary cause of crashes, though some noted limitations in data formats and unclear divisions of responsibility for road maintenance and design. The study concludes that while overall safety trends are positive, specific vulnerabilities remain, particularly on rural collector routes and involving single-unit trucks. The findings suggest that engineering countermeasures should focus on addressing roadway geometrics and design deficiencies that contribute to crashes, alongside continued emphasis on driver behavior. The research underscores the importance of distinguishing between different truck configurations and road types in safety planning, providing a data-driven foundation for future policy and infrastructure improvements in Wisconsin.

Key finding

Driver factors and driver behavior are the most significant variables in determining the severity of large truck crash incidents, whereas vehicle and highway factors do not vary significantly across different levels of crash severity.

Methodology

dataset

Provenance

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

Topics

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• incidence prevalence
• bus coach
• comparative international
• crash typology
• fatality injury trends
• causation analyses

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Empirical Findings: crash risk outcomes
• Methodological Resource: dataset resource