The driving safety at signalized road intersections is a critical issue for intelligent and
connected vehicles (ICVs). Vehicle-following driving scenarios are common conditions at …

This paper proposes a two-stage trajectory planning method for self-driving vehicles (SDVs)
in intersection scenarios with uncertain social circumstances while considering other traffic …

Making inappropriate driving decisions at signalized intersections is one of the major
reasons causing accidents. In this paper, the authors present an integrated in-vehicle …

In this paper, we present a Smart In-Vehicle Decision Support System (SIV-DSS) to help
making better stop/go decisions in the indecision zone as a vehicle is approaching a …

Intelligent‐driving technologies play crucial roles in reducing road‐traffic accidents and
ensuring more convenience while driving. One of the significant challenges in developing …

Precisely assessing driving threat of road segments could significantly enhance the driving
efficiency of intelligent connected vehicles (ICV) within mixed traffic scenarios. Existing …

Intersections have been identified as the most complex and accident‐prone traffic scenarios
on road. Making appropriate decisions at intersections for driving safety, efficiency, and …

Intelligent traffic control at nonsignalized intersections under a connected and automated
vehicle (CAV) environment can reduce traffic congestion, vehicle emissions [eg, carbon …

High-speed autonomous emergency collision avoidance for intelligent vehicles is a
challenging task. Many existing studies have not considered the effect of the road adhesion …

This study proposes a two‐level optimization model system for vehicle control and signal
timing at isolated signal intersections under the mixed traffic flow environment composed of …