Lecture Notes in Networks and Systems

This is an accepted manuscript of a book chapter published by Springer in Lecture Notes in Networks and Systems on 01/01/2022. The accepted version of the publication may differ from the final published version.Traffic congestion is an extremely common phenomenal issue, it occurs in many cities around the world, especially in those cities with high car ownership. Traffic congestion not only causes air pollution and fuel wastage, but it also leads to an increased commuting time and reduces the work time availability. Due to these reasons, traffic congestion needs to be controlled and reduced. The traffic light is the most widely adopted method to control traffic, however, most traffic lights in use are designed based on the predefined interval, which cannot cope with traffic volume change very well. Therefore, Internet of Things (IoT) based traffic lights or adaptive traffic lights are developed in the recent years as a complement of the traditional traffic lights. The adaptive traffic light can be built based on monitoring current traffic situation or using Vehicle-to-Vehicle and Vehicle-to-Infrastructure communication. In this paper, a new design of adaptive traffic light is proposed, this traffic light system is based on fuzzy logic and it introduces volunteer IoT agent mechanism, which introduces more accurate results