In order to alleviate the traffic congestion problem caused by excessive left-turn traffic at intersections during peak hours, this paper proposes a signal timing optimization method based on reverse variable lane intersections. Firstly, the operation rules of the reverse variable lane are analysed, based on which a model of the intersection capacity, delay and vehicle emission of the reverse variable lane is constructed; by analysing the evaluation indexes of the intersection, with the cycle time, effective green time of the main pre-signal, saturation and length of the reverse variable lane as constraints, the maximum intersection capacity, minimum average vehicle delay and minimum vehicle emission as the objectives, a The intersection signal timing multi-objective optimization model is established and solved using genetic algorithm. The intersection signal timing optimization model is developed and solved by genetic algorithm. The operational effect of setting up the reverse variable lane is analysed through the actual intersection. The results show that the intersection capacity is increased by 14.57%, the average vehicle delay and vehicle emissions are reduced by 21.13% and 13.43% respectively. By setting up variable lanes in the reverse direction and optimising the signal timing with multiple objectives, traffic congestion and pollutant emissions at the intersection can be largely alleviated and the traffic signal control effect is very good.
 

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