In response to the regional traffic problems during peak hours in the morning and evening of Shanghai's airport,optimization models for single roads such as North Guangshun Road,Xiehe Road,Fuquan Road,and Jinzhong Road were constructed,as well as variable lane cluster control and signal timing optimization models for the airport area road network based on multi-objective programming and hybrid genetic algorithm.Quantitatively compare from two dimensions:traffic efficiency and environmental emission benefits.The results showed that the proportion of improvement in morning peak hours after variable lane cluster control and signal timing optimization was greater than that in evening peak hours,and the optimization of road network traffic efficiency and environmental emission benefits reached 17.46%and 20.53%,respectively.The optimization effect of variable lane clusters is more significant and stable than that of single lanes,which is more conducive to the overall improvement of road network traffic efficiency.The research conclusion can provide theoretical support and reference for the intelligent control of urban variable lane clusters.
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万方数据
