Traffic congestion is a central problem in transportation systems, especially in urban areas.
The rapid development of Connected and Automated Vehicles (CAVs) and new traffic …

Connected and automated vehicles (CAVs) have a great potential to improve traffic
efficiency in mixed traffic systems, which has been demonstrated by multiple numerical …

The growing demand for intelligent transportation systems and mobility solutions worldwide
are well-documented. About 55% of the world's population currently live in urban areas …

Connected automated vehicles (CAVs) have shown great potential in improving traffic
throughput and stability. Although various longitudinal control strategies have been …

Considering the environmental concerns and space limitations of urban infrastructure,
construction of new roads and broadening of the existing ones are not accepted practices for …

New transport technologies have the potential to create more efficient modes of transport
and transforming cities for the better by improving urban productivity and increasing …

With the forecasted emergence of autonomous vehicles in urban traffic networks, new
control policies are needed to leverage their potential for reducing congestion. While several …

Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …

In the near future, autonomous vehicles will face with new challenges in several fields. One
of the most exciting changes will be represented by the network-wide optimal traffic control …

This article provides an overview of the converging areas of control for autonomous
vehicles, and control of the larger transportation system in which a small number of …