In the field of automatic control systems for rail transit,especially in the multi-objective optimization of signal timing,existing technologies have shortcomings in adaptability to dynamic and complex environments.a multi-objective timing optimization algorithm is proposed,assigns weights to the three indicators of signal timing,and finally updates the particle positions of the algo-rithm through cycle duration and green signal comparison.The research results show that after 100 iterations of training,the algorithm has significantly improved in terms of traffic capacity,average delay time,and average number of stops.During peak hours,the aver-age delay time of the optimized algorithm was 31.27 seconds,and the average number of stops was 0.77,a decrease of 1.29 seconds and 0.05 times,respectively;During peak hours,the average delay time of the optimized algorithm was 17.59 seconds,with an aver-age of 0.61 stops,a decrease of 0.75 seconds and 0.02 stops,respectively.The results indicate that the proposed method has a good improvement effect on the efficiency and safety of rail transit.
维普
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