The objective of this research effort is to study the real-time traffic management problem for
large-scale urban transportation networks. This research is the first attempt to adopt the …

This article presents an autonomic-based architecture for real-time traffic management in
congested urban transportation networks. The architecture assumes the availability of …

Advanced urban traffic control (UTC) systems are often based on feedback algorithms. They
use road traffic data which has been gathered from a couple of minutes to several years. For …

As traffic demands are increasing and reaching critical levels worldwide, advanced traffic
signal management is becoming an important requirement. The evolution and generation of …

Traffic congestion is a growing problem in many countries around the world. It has been
recognized that instead of constructing more roads and freeways to counter this problem it is …

This chapter discusses a systems design approach inspired from the autonomic nervous
system for intelligent transportation system (ITS) applications. This is done not with reference …

Traffic congestion significantly degrades the quality of life in urban environments. It results in
lost time, wasted fuel resources and reduced air quality for urban residents. Recent work in …

Road traffic systems are complex, heterogeneous, expensive to maintain, and difficult to
optimise. It raises several challenges related to congestion, environment, safety, support …

Automated driving has recently attracted significant attention. While considerable research
has been conducted on the technologies and societal acceptance of autonomous vehicles …

Much study in urban traffic control is directed towards operation and optimisation of
individual signal-controlled road junctions. The effectiveness of traffic control systems greatly …