This manuscript presents an Adam optimization-based Deep Reinforcement Learning model
for Mixed Traffic Flow control (ADRL-MTF), so as to guide Connected and Autonomous …

As 5-th Generation (5G) mobile communication and edge computing technologies mature,
Intelligent Transportation System (ITS) are gradually becoming a reality. In the 5G …

Due to the limitations of data transfer technologies, existing studies on urban traffic control
mainly focused on isolated dimension control such as traffic signal control or vehicle route …

Traffic flow control and guidance is an important research area of ITS. In order to solve the
problem that the static route guidance algorithm can not provide real-time traffic information …

One of the most prevalent problems for people living in big cities is traffic congestion. To
avoid traffic jam, drivers tend to use intelligent traffic-aware route planning service to help …

An online routing profile updating automaton (ORPUA) approach is introduced as a principal
mechanism for operating an online hybrid dynamic traffic assignment (DTA) system for real …

The frequent stops of transit buses significantly block lanes on roads and generate vehicle
queues behind. The passenger cars traveling behind buses may be stuck in the queues and …

This paper aims to provide an efficient solution for people in a city who drive their cars to visit
several destinations, where they need to park for a while, but do not care about the visiting …

Urban road traffic congestion has been a severe problem for decades. There are many route
guidance systems (RGSs) providing rerouting suggestions for drivers to avoid on-going …

Lane‐changing is a basic driving behaviour, which largely impacts on traffic safety and
efficiency. With the development of technology, the automated lane‐changing system has …