Emerging technologies toward a connected vehicle-infrastructure-pedestrian environment
and big data have made it easier and cheaper to collect, store, analyze, use, and …

Freeway traffic control is a broad research area, not only interesting for its applicative
perspective, but also highly motivating for theoretical investigations. This research topic has …

This paper focuses on the lane-changing trajectory planning (LTP) process in the automatic
driving technologies. Existing studies on the LTP algorithms are primarily the static planning …

Abstract Cooperative Adaptive Cruise Control (CACC) systems have the potential to
increase roadway capacity and mitigate traffic congestion thanks to the short following …

This research conducts a comprehensive review on the social impacts of Cooperative
Automated Driving (CAD), including Infrastructure Enabled Autonomy (IEA). In order for …

Variable speed limit (VSL) control of highway traffic is expected to improve traffic mobility,
safety, and environment, especially during incidents. However, most existing VSL controllers …

Aiming at operating effectively future traffic systems, we propose here a novel methodology
for integrated lane-changing and ramp metering control that exploits the presence of …

This paper presents a thorough microscopic simulation investigation of a recently proposed
methodology for highway traffic estimation with mixed traffic, ie, traffic comprising both …

This paper proposes an integrated freeway traffic flow control framework that aims to
minimize the total travel cost, improve greenness and safety for freeway traffic mixed with …

Traffic congestion has become a serious issue worldwide due to the rapid increase in
population and traffic demands. Advances in connected automated vehicle (CAV) …