Taking into consideration the increasing availability of real-time traffic data and stimulated by
the importance of proactive safety management, this paper attempts to provide a review of …

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

Real-time crash prediction is essential for proactive traffic safety management. However,
developing an accurate prediction model is challenging as the traffic data of crash and non …

With the help of traffic detectors widely deployed along arterial roads and intersections, real-
time traffic data are collected and updated in a very short time period, which makes it …

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 …

Introduction Driving environment, including road surface conditions and traffic states, often
changes over time and influences crash probability considerably. It becomes stretched for …

Recently, technologies for predicting traffic conflicts in real-time have been gaining
momentum due to their proactive nature of application and the growing implementation of …

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 …

Introduction The effective treatment of road accidents and thus the enhancement of road
safety is a major concern to societies due to the losses in human lives and the economic and …

Although there are numerous studies examining the impact of real-time traffic and weather
parameters on crash occurrence on freeways, to the best of the authors' knowledge there …