Proactive traffic safety management systems can monitor traffic conditions in real-time,
identify the formation of unsafe traffic dynamics, and implement suitable interventions to …

The development of methods for real-time crash prediction as a function of current or recent
traffic and roadway conditions is gaining increasing attention in the literature. Numerous …

Abstract The advent of Big Data era has transformed the outlook of numerous fields in
science and engineering. The transportation arena also has great expectations of taking the …

This paper employs a correlated random parameters ordered probit modeling framework to
explore time-variant and time-invariant factors affecting injury-severity outcomes in single …

The prediction of traffic crashes is an essential topic in traffic safety research. Most of the
previous studies conducted experiments on real-time crash prediction of expressways or …

Crash data are collected through police reports and integrated with road inventory data for
further analysis. Integrated police reports and inventory data yield correlated multivariate …

Weaving segments are potential recurrent bottlenecks which affect the efficiency and safety
of expressways during peak hours. Meanwhile, they are one of the most complicated …

Mobile phone distracted drivers have been reported to initiate risk-compensating behaviour
depending on a multitude of factors such as roadway environment and traffic characteristics …

The impact of operating speed on traffic crash occurrence has been a controversial topic in
the traffic safety discipline as some studies reported a positive association whereas others …

Numerous road safety studies have been dedicated to the estimation of crash frequency and
injury severity models. However, previous research has shown that different factors may …