Short-term vehicle speed prediction is an essential part of Intelligent Transportation Systems
(ITS), which influences the critical parameter for high-level energy management of electric …

Urban traffic is develo** rapidly in the direction of intelligence and networking. In order to
further enhance the role of connected vehicles in improving the traffic characteristic of the …

It is common that there are large trucks mixed in the road, and the traffic situation has
become more complicated. Moreover, the existence of large trucks and adaptive cruise …

Gradient roads are not uncommon in mountainous areas and freeways. The driving field of
vision will be limited under such a complex road environment, which hinders the drivers from …

In this paper, the Bush–Mosteller (BM) reinforcement learning (RL) scheme is introduced to
model the route choice behaviors of the travelers in traffic networks, who aim to seek the …

Considering effect of driver's memory and average speed effect of preceding vehicles, an
extended car-following model is proposed in this paper. The control signal including the …

Many controllers have been designed for the longitudinal car-following mode of connected
and automated vehicles. The existing body of research shows that these controllers more or …

In real-world driving scenarios, numerous factors such as driver behavior, road conditions,
weather conditions and vehicle capabilities contribute to deviations among the driver's …

As the driver is the decision-maker and executor of driving behavior, the driver's subjective
awareness plays a considerable role in the traffic environment. In the real two-lane traffic …

In this paper we propose an enhanced continuum model for traffic flow considering the effect
of driver characteristics and traffic jerk. Based on the linear stability condition, the sufficient …