Date Approved
3-3-2023
Embargo Period
3-7-2025
Document Type
Dissertation
Degree Name
Ph.D. Doctor of Philosophy
Department
Civil and Environmental Engineering
College
Henry M. Rowan College of Engineering
Advisor
Mohammad Jalayer, Ph.D.
Committee Member 1
Yusuf Mehta, Ph.D.
Committee Member 2
Thomas M. Brennan, Ph.D.
Committee Member 3
Jing (Peter) Jin, Ph.D.
Committee Member 4
Anthony Breitzman, Ph.D.
Subject(s)
Highway engineering; Traffic safety
Disciplines
Civil and Environmental Engineering | Transportation Engineering
Abstract
Wrong-way driving (WWD) crashes have been a long-lasting issue for transportation agencies during the past decades. According to the AAA Foundation's latest statistics, on divided highways, a total of 2,921 WWD fatal crashes were documented from 2010 to 2018, resulting in 3,546 fatalities. In order to analyze WWD events, this study attempts to initially develop a methodology to identify actual WWD crashes from potential WWD crashes in police reports by using text mining and machine learning techniques. Afterward, developing a hazard-based duration model, this study investigates the contributing factors related to the distance traveled by a wrong-way (WW) driver involved in a severe WWD crash. As another part of this research, the risk of IB on WWD crashes at parclo interchange terminals is evaluated using reliability analysis. Eventually, this research expands the education component of safety countermeasures by distributing a web-based survey and designing VR scenarios with the goal of increasing public awareness of WWD events. This study, as the first-of-its-kind, can provide transportation agencies with valuable information about WWD from different standpoints, including data collection, analysis, and safety countermeasures.
Recommended Citation
Hosseini, Parisa, "WRONG-WAY DRIVING: DATA COLLECTION, ANALYSIS, AND SAFETY COUNTERMEASURES" (2023). Theses and Dissertations. 3085.
https://rdw.rowan.edu/etd/3085
