In addressing the detrimental impacts of greenhouse gas emissions and decarbonization
targets, the imperative shift towards electrification in the transportation sector is underscored …

Network-wide perimeter control strategies have been shown promise in recent years. These
perimeter control strategies are mostly based on networks with fixed boundaries. However …

Lane changes are complex driving behaviors and frequently involve safety–critical
situations. This study aims to develop a lane-change-related evasive behavior model, which …

Vehicles frequently change lanes at weaving segments, and there is a high probability of
collision. To assess the risk of lane change, this study proposes a novel lane change risk …

The accuracy of the data is crucial to the real-time prediction of autonomous driving. Due to
factors such as weather and the accuracy of data collection equipment, there frequently exist …

In a lane change (LC) scenario, the lane change vehicle interacts with surrounding vehicles.
The interactions not only affect their driving behaviors but also influence the traffic flow. This …

The development of connected vehicle (CV) technology has created conditions for
improving the traffic efficiency of intersections and provided support for more effective speed …

The accurate behavior prediction of autonomous vehicles relied heavily on precise data
supplied by various sensors. In spite of this, data missing due to a communication barrier or …

The lane-change decision (LCD) is a critical aspect of driving behaviour. This study
proposes an LCD model based on a Bayesian optimization (BO) framework and extreme …

Traffic breakdown involves complicated vehicle behavior, and is regarded as a probabilistic
event with macroscopic traffic data from fixed detectors. However, with the advent of …