Adaptive Fuzzy-Logic Traffic Control Approach Based on Volunteer IoT Agent Mechanism

Abstract

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 pre-defined interval, which cannot cope with traffic volume change very well. Therefore, Internet of Things (IoT)-based traffic light or adaptive traffic light systems 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. This paper proposes a new design of adaptive traffic light, this traffic light system is based on fuzzy logic, and it introduces for the first time the use of volunteer IoT agent mechanism, which introduces more accurate results. To note that the presented work in this paper is the extended version of the work presented in (Hewei et al. in Fuzzy-logic approach for traffic light control based on IoT technology, 2021).