Adaptive traffic signal control (ATSC) is a promising technique to improve the efficiency of
signalized intersections, especially in the era of connected vehicles (CVs) when real-time …

Abstract The proliferation of Connected Vehicles and their ability to collect a large amount of
data presents an opportunity for the real-time safety optimization of traffic networks. At …

Adaptive traffic signal control (ATSC) systems improve traffic efficiency, but their impacts on
traffic safety vary among different implementations. To improve the traffic safety pro-actively …

This study introduces a novel approach to adaptive traffic signal control (ATSC) by
leveraging multi-objective deep reinforcement learning (DRL) techniques. The proposed …

The optimization of intersection signal control can improve traffic efficiency, reduce
congestion degree, and improve traffic safety. Aiming at implementing the coordinated …

Abstract Background Road Traffic injuries (RTI) are among the top ten leading causes of
death in the world resulting in 1.35 million deaths every year, about 93% of which occur in …

Introduction: Adverse weather has a considerable negative impact on safety and mobility of
transportation networks. Microsimulation models are one of the potential tools that could be …

Introduction Adaptive signal control technology (ASCT) has long been investigated for its
operational benefits, but the safety impacts of this technology are still unclear. The main …

Introduction Although many researchers have estimated the crash modification factors
(CMFs) for specific treatments (or countermeasures), there is a lack of prior studies that have …

Adaptive signal control technology (ASCT) is a traffic management strategy that optimizes
signal timing based on actual traffic demand. Although meant to improve the operational …