基于多目标规划和混合遗传算法的上海临空可变车道集群控制优化研究
Optimization of Shanghai Variable Lane Cluster Control Based on Multi-Objective Programming&Hybrid Genetic Algorithm
陈希 1邹婕2
作者信息
- 1. 上海市城市建设设计研究总院(集团)有限公司,上海 200125
- 2. 东南大学交通学院,江苏 南京 211189
- 折叠
摘要
针对上海临空早晚高峰时段区域交通问题,分别构建广顺北路、协和路、福泉路和金钟路单条道路优化模型及基于多目标规划和混合遗传算法的临空区域路网可变车道集群控制及信号配时优化模型.从通行效率和环境排放效益 2 个维度进行量化对比.结果表明,可变车道集群控制及信号配时优化后早高峰改善比例大于晚高峰,路网通行效率及环境排放效益优化幅度分别达17.46%和20.53%.可变车道集群优化效果较单车道显著且稳定性高,更有利于路网通行效率的整体提升.研究结论可为城市可变车道集群的智能化管控提供理论支撑与借鉴.
Abstract
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.
关键词
可变车道集群控制/信号配时优化/多目标规划/混合遗传算法/通行效率/环境排放效益Key words
variable lane cluster control/signal timing optimization/multi-objective planning/hybrid genetic algorithm/traffic efficiency/environmental emission benefits引用本文复制引用
出版年
2024
NETL
NSTL
万方数据