The rapid development of urban cities coupled with the rise in population has led to an
exponentially growing number of vehicles on the roads for the latter to commute. This is …

Pedestrian safety has emerged recently as a public health challenge worldwide. People are
being physically harmed due to losing focus on their surroundings and putting safety at risk …

With the development of communication technology and artificial intelligence of things
(AIoT), transportation systems have become much smarter than ever before. However, the …

Traffic flow prediction is crucial for intelligent transportation system, such as traffic
management, congestion alleviation and public risk assessment. Recently, attention …

In real-world urban environments, hybrid and disorder traffic brings new challenges for the
intelligent traffic light control system (ITLCS). Apart from coordinating traffic flows around …

The problem of supervisor design for systems analyzed in cooperating pairs of subsystems
is studied. The supervisors realize the cooperation using only sensor and actuator data of …

Using deep reinforcement learning to solve traffic signal control problems is a research
hotspot in the intelligent transportation field. Researchers have recently proposed various …

Fast road emergency response can minimize the losses caused by traffic accidents.
However, emergency rescue on urban arterial roads is faced with the high probability of …

Road safety is the most important feature of a modern city, and it affects almost everyone in
the community, especially vulnerable road users (VRUs). This paper comprehensively …

Traffic light control falls into two main categories: Agnostic systems that do not exploit
knowledge of the current traffic state, eg, the positions and velocities of vehicles …