Abstract
Traffic congestion is one of the main problems facing Riyadh city's growth, which results in significant environmental pollution and makes transportation difficult. These factors not only generate material losses but also make daily living difficult for people. The principal reasons of traffic congestion in Riyadh include, but are not limited to, the rapid growth of the population. By 2030, the Kingdom of Saudi Arabia aims to have a population of 50-60 million, which will make traffic congestion worse if preventive measures are not taken. The development of an intelligent traffic lights control system is one strategy to address traffic issues. The purpose of traffic lights is to efficiently control vehicle traffic at intersections. These traffic signals typically operate in a preset order based on a fixed cycle period. Due to this design, vehicles on one side of the road must wait even while there are no automobiles on the other, making them intrinsically unable to effectively regulate traffic flow during atypical conditions. As a result, it becomes necessary to simulate traffic control algorithms in order to reduce the amount of stops, vehicle delays, etc. There is a chance to create a system that will meet these needs with fuzzy logic. We use fuzzy logic toolbox in MATLAB to design the intelligent traffic lights control system for an isolated traffic junction.
Published Version
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