The development of connected autonomous vehicles (CAVs) facilitates the enhancement of
traffic efficiency in complicated scenarios. Difficulties remain unsolved in developing an …

The development of connected autonomous vehicles (CAVs) facilitates the enhancement of
traffic efficiency in complicated scenarios. In unsignalized roundabout scenarios, difficulties …

Coordinating connected and automated vehicles (CAVs) poses challenges in achieving safe
and optimal pathfinding simultaneously. In this paper, we propose safer conflict-based …

Since the traffic administration at road intersections determines the capacity bottleneck of
modern transportation systems, intelligent cooperative coordination for connected …

Since vehicles from multiple roads frequently merge at intersections, it formulates a typical
traffic bottleneck of modern transportation systems. Proper vehicle coordination and motion …

The problem of cooperative driving for the connected and automated vehicles (CAVs) at the
non‐signalised intersection is addressed in this study. The conceptions of conflict point and …

One of the most important goals of cooperative driving is to control connected automated
vehicles (CAVs) passing through conflict areas safely and efficiently without traffic signals …

Cooperative decision-making of Connected Autonomous Vehicles (CAVs) presents a
longstanding challenge due to its inherent nonlinearity, non-convexity, and discrete …

Cooperative trajectory planning of connected autonomous vehicles (CAVs) generally admits
strong nonlinearity and non-convexity, rendering great difficulties in finding the optimal …

This article proposes a novel cooperative motion planning and decision-making approach
for connected and automated vehicles (CAVs) at unsignalized intersections, where a …