Engineering Countermeasures to Mitigate Reckless Driving Behavior

Details

• Creators:
  Guler, S. Ilgin ; Gayah, Vikash V. ; Zhang, Yiqi ; Gu, Xiaohan
• Corporate Creators:
  Pennsylvania State University
• Corporate Contributors:
  Wisconsin. Dept. of Transportation. Library and Research Unit ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Countermeasures Crash Analysis Data Analysis Driving Behavior High Risk Locations Literature Reviews Public Health Reckless Drivers Speeding Traffic Mitigation
• Publication/ Report Number:
  0092-24-11
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Wisconsin
• Edition:
  Final Report: August 2024-July 2025
• Corporate Publisher:
  Wisconsin. Dept. of Transportation. Library and Research Unit
• Abstract:
  This project aimed to enhance understanding of the role of reckless driving in traffic safety on Wisconsin roadways and to identify effective countermeasures to mitigate its impact. Reckless driving was defined as crashes involving the following four behaviors: speeding, distracted/drowsy driving, impaired, and aggressive driving. The research began with an extensive literature review focused on engineering-based strategies to address reckless driving, providing insight into their applicability by context and setting. Drawing from this review, the team identified specific countermeasures relevant to Wisconsin’s roadway environment. Then, using crash, roadway, and public health data from across the state, the team developed negative binomial (NB) regression models to estimate the risk of the four types of reckless driving-related crashes on various roadway segments. Key findings indicate that average annual daily traffic (AADT) and segment length are positively associated with crash frequencies, while higher posted speed limits and wider shoulders are linked to reduced crash risk. These predictive models were integrated into a network screening tool designed to identify high-risk locations for reckless driving activity. The tool and associated findings offer a data-driven foundation for prioritizing safety interventions, improving resource allocation, and supporting targeted efforts to reduce reckless driving crashes in Wisconsin.
• Format:
  PDF
• Funding:
  0092-24-11
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:dcb20fd75369c963797c1f3089b21a44ccf33b2d520a404127bce24341570152ae8b3d6628829d9a73dfc7fbdd6e4ea7a7289595cf5129f435a28702c107d7a9
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/89228/dot_89228_DS1.pdf
• File Type:
  [PDF - 1.42 MB ]