Date Approved
9-30-2024
Embargo Period
9-30-2025
Document Type
Thesis
Degree Name
Master of Science (M.S.)
Department
Civil and Environmental Engineering
College
Henry M. Rowan College of Engineering
Advisor
Mohammad Jalayer, Ph.D.
Committee Member 1
Yusuf Mehta, Ph.D., P.E.
Committee Member 2
Thomas Brennan, Ph.D., P.E.
Committee Member 3
Farukh Ijaz, P.E.
Subject(s)
Automobiles--Sear belts; Automobile drivers--New Jersey
Disciplines
Civil Engineering | Public Affairs, Public Policy and Public Administration | Transportation
Abstract
This study intends to investigate the non-compliant behavior of drivers with seatbelt use in New Jersey. By examining various factors such as temporal and roadway characteristics, this study seeks to identify the underlying causes of this seatbelt non-compliance behavior. To overcome the limitations of traditional methods like cross-sectional data collection, a novel approach known as moving vehicle method was employed. To gain further insights, hypothesis tests were performed across the entire dataset to pinpoint significant temporal, roadway, and geometric factors contributing to non-compliant behaviors. In the subsequent step, the association of other risky behaviors like speeding and distracted driving with seatbelt non-compliance behavior was further analyzed. In addition, an advanced seatbelt compliance and non-compliance detection tool was developed utilizing a deep learning algorithm to assist policymakers, engineers, law enforcement departments and researchers in identifying non-compliant motorists, thereby enhancing their ability to enforce seatbelt regulations effectively. The analysis revealed that drivers are significantly more non-compliant during weekends on faster (54 mph or more) and multilane (e.g. more or four) roadways.
Recommended Citation
Nayeem, Md Arifuzzaman, "A NOVEL APPROACH TO EVALUATE SEATBELT NON-COMPLIANCE OF DRIVERS IN NEW JERSEY" (2024). Theses and Dissertations. 3301.
https://rdw.rowan.edu/etd/3301
