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 …

Freeway traffic safety should be given great attention due to the frequent and serious
consequences that arise from freeway traffic crashes. With the possibility of obtaining high …

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 …

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 …

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 …

Transportation safety studies have been mostly focused on using crash data that are rare
events. Alternatively, conflict estimation can be used to assess safety. This has been proven …

Adaptive cruise control (ACC) has been considered one of the critical components of
automated driving. ACC adjusts vehicle speeds automatically by measuring the status of the …

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 …

Real-time crash risk prediction using traffic data collected from loop detector stations is
useful in dynamic safety management systems aimed at improving traffic safety through …