Article
Optimising Traffic Light Signal Parameters Through Multielement Genetic Algorithm Modification
The timing of traffic signals is essential to the future of reducing traffic and increasing urban mobility. This is executed in such a manner that in this work, a multielement genetic algorithm (MEGA) modification is employed to do an optimal setting of traffic light signals in a new manner. The proposed method adaptively changes green time, cycle length and phase sequence depending upon the real-time available actual traffic flow data by improving the traditional genetic algorithms with adaptive crossover, mutation, and selection operations. The simulation results indicated that the mean vehicle delay, mean queue length, and throughput have substantially mitigated vehicles of various traffic conditions. Adaptive traffic control systems are suitable to the MEGA optimisation owing to the fact that it is more responsive and efficient compared to the conventional ones. This approach to addressing the smart transportation systems issue offers a data-driven, scalable solution in more and more complex urban environments.
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