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 risk prediction is expected to play a crucial role in preventing traffic
accidents. However, most existing studies only focus on freeways rather than urban arterials …

In this paper, we present a data augmentation technique to reproduce crash data. The
dataset comprising crash and non-crash events are extremely imbalanced. For instance, the …

The analysis of highway-crash data has long been used as a basis for influencing highway
and vehicle designs, as well as directing and implementing a wide variety of regulatory …

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 …

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 …

Highlights•Conflict-based real-time safety performance functions are developed for
signalized intersections.•Several Tobit models including GRP-Tobit, RI-Tobit, and GRP-Tobit …

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 …

Although plenty of studies have been conducted recently about the impacts of cooperative
adaptive cruise control (CACC) system on traffic efficiency, there are few researches …