This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

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

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 …

This paper presents a Variable Speed Limit (VSL) control algorithm for simultaneously
maximizing the mobility, safety and environmental benefit in a Connected Vehicle …

The emergence of automated vehicles may have significant impacts on traffic flow. While
many studies suggest that fully automated vehicles can improve traffic flow by changing their …

Jointly optimizing multi-vehicle trajectories is a critical task in the next-generation
transportation system with autonomous and connected vehicles. Based on a space-time …

Self-driving vehicles are a tool that contributes significantly to sustainable development, both
nationally and globally, as their positive effects extend beyond national borders. For their …

This book explores the development of PDE (partial differential equation) backstep**
controllers for the suppression of stop-and-go instabilities and oscillations in congested …

Variable speed limit (VSL) control plays a vital role in the emerging connected automated
vehicle highway (CAVH) system, which can alleviate recurrent traffic congestion caused by …

Integrated motorway traffic flow control considering the use of Vehicle Automation and
Communication Systems (VACS) is considered in this paper. VACS may act both as sensors …