In recent years, my research has focused on enhancing traffic safety at partial cloverleaf (parclo) interchanges, particularly addressing the persistent issue of wrong-way driving (WWD). Parclo interchanges, designed to manage traffic flow between highways and arterial roads, unfortunately exhibit a higher incidence of WWD events compared to other interchange types.
Wrong-way driving poses significant risks, often leading to severe head-on collisions. The complex design of parclo interchanges can confuse drivers, increasing the likelihood of WWD incidents. Our research aims to identify the factors contributing to these events and develop effective countermeasures.
Through comprehensive data analysis, we’ve pinpointed specific locations within parclo interchanges that are particularly prone to WWD incidents. This targeted approach allows for the implementation of focused interventions. By studying driver behavior patterns, we’ve identified common errors leading to WWD. Factors such as inadequate signage, poor lighting, and confusing road markings have been found to contribute significantly.
Our evaluations of various countermeasures, including improved signage, road surface markings, and technological interventions like warning systems, have demonstrated varying degrees of success in mitigating WWD incidents. Based on our findings, we recommend a multifaceted approach to reduce WWD occurrences at parclo interchanges:
- Enhanced Signage and Road Markings
- Technological Interventions
- Design Modifications
Addressing wrong-way driving at partial cloverleaf interchanges requires a comprehensive understanding of the contributing factors and the implementation of targeted countermeasures. Ongoing research continues to explore innovative solutions to enhance traffic safety and reduce the incidence of these dangerous events.
Qing Chang, PhD, P.E. has made significant strides in advancing the understanding of wrong-way driving incidents through extensive research and collaboration with leading experts in the field. Below are some of his key research publications that showcase his contributions:
- Exploring the impact of design elements on wrong-way driving incidents at partial cloverleaf interchange terminals, IATSS Research, Volume 48, Issue 4, 2024.
- A machine learning approach to quantify effects of geometric design features and traffic control devices on wrong-way driving incidents at partial cloverleaf interchange terminals, Accident Analysis & Prevention, Volume 210, 2025.
- Examining strategies, policies, and guidance for addressing wrong-way driving in the United States: A comprehensive national survey, Journal of Safety Research, Volume 90, 2024.