Urban traffic as one of the most important challenges in modern city life needs practically
effective and efficient solutions. Artificial intelligence methods have gained popularity for …

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration
into the adaptive mechanisms that enable intelligent behaviour in complex and changing …

Traffic light timing optimization is still an active line of research despite the wealth of
scientific literature on the topic, and the problem remains unsolved for any non-toy scenario …

In this paper we consider an intersection of two two-way streets with controllable traffic lights
on each corner. We construct a model that describes the evolution of the queue lengths (as …

Since 1965 when the fuzzy logic and fuzzy algebra were introduced by Lotfi Zadeh, the fuzzy
theory successfully found its applications in the wide range of subject fields. This is mainly …

Describes the design and implementation of an intelligent traffic lights controller based on
fuzzy logic technology. A software has been developed to simulate the situation of an …

One of the main challenges for developed cities is vehicle traffic and its management.
Because of physical structures and cross roads of urban intersections, traffic flows may …

This paper presents a fuzzy traffic controller for a set of intersections and its simulation
results. The controller of an intersection controls its own traffic and cooperates with its …

Usually, vehicles' stop-and-go driving will consume more fuel and emit more CO_2 than
constant speed driving. To reduce vehicles' CO_2 emissions, vehicles' travel should be …

This paper presents an approach to multi-objective signal control using fuzzy logic. The
signal control uses fuzzy logic where the membership functions are optimised according to …