Optimizing Traffic Light Timing at Four-Way Intersections Using Genetic Algorithm to Alleviate Congestion

Abstract

This study proposes a novel approach to alleviate urban traffic congestion at four-way intersections using genetic algorithms (GAs) to optimize signal timings. We develop an adaptive traffic control system that dynamically adjusts signal timings based on real-time traffic conditions, aiming to minimize average vehicle wait times. Through iterative evolution, GAs generate optimized signal plans, resulting in significant improvements in traffic flow compared to traditional systems, as demonstrated through microsimulation experiments. Our approach proves robust across various traffic scenarios, offering scalable and efficient solutions for urban traffic management.