Cooperative driving has great potential to improve traffic safety and efficiency and has been
widely discussed in recent years. However, most existing researches only focus on the ideal …

Cooperative driving of connected and automated vehicles (CAVs) has attracted extensive
attention and researchers have proposed various approaches. However, existing …

The management of mixed traffic systems is critical to realize the benefits of connected and
automated vehicles (CAVs). Generally, the benefits of CAVs can be categorized into the one …

Trajectory data play a vital role in the field of traffic research such as vehicle safety, traffic
flow, and intelligent vehicles. The quality of trajectory data will determine the safety …

The proper management of mixed traffic is crucial for unleashing the benefits of connected
and automated vehicles (CAVs). Generally, the benefits of CAVs can be categorized into …

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

Cooperative driving is crucial for improving traffic efficiency and safety for connected and
automated vehicles (CAVs), especially in traffic bottlenecks. However, most of the state-of …

Accurate road irregularity model is very important to ensure reliability of vehicle dynamics
simulation. Besides that modeling accuracy of power spectral density (PSD) around the …

Driving safety and accident prevention are attracting increasing global interest. Current
safety monitoring systems often face challenges such as limited spatiotemporal coverage …

Autonomous driving and vehicular networking have gained traction during the last decade.
Simulation is one of the major tools for assessing coordination mechanisms (eg intersection …