Introduction This study aims to identify the factors related to pedestrian and roadway
characteristics that affect vehicle–pedestrian Post Encroachment Time (PET) and Relative …

The real-time crash likelihood prediction model is an essential component of the proactive
traffic safety management system. Over the years, numerous studies have attempted to …

Lane detection plays a vital role in making the idea of the autonomous car a reality.
Traditional lane detection methods need extensive hand-crafted features and post …

Introduction: The study aims to investigate the instant fatality likelihood and time to death
(lag time) of pedestrian fatalities using a copula-based joint modeling framework. The upper …

Electronic gadgets can accomplish a variety of tasks at once, making hard work more
productive. In recent years, the usage of electronic gadgets for social and professional …

Drivers can sustain serious injuries in traffic accidents. In this study, traffic crashes on
Florida's Interstate-95 from 2016 to 2021 were gathered, and several classification methods …

Crash prediction is one of the important elements of real time traffic management strategies.
Previous studies have demonstrated the use of infrastructure-based detector data and UAV …

Traumatic Brain Injuries (TBIs) resulting from Road Traffic Crashes (RTCs) can have fatal
and disabling effects on patients. In this study, we evaluated the TBIs outcomes of patients …

This research focuses on determining traffic congestion parameters, which holds
significance for various transportation engineering applications. A highly congested highway …

This study explored the impact of lime stabilization combined with fly ash on the
geotechnical properties of compacted clay soil collected from Mirpur-11, Dhaka, at a depth …