东南大学学报（自然科学版）2017，Vol.47Issue(3)：607-612,6.DOI:10.3969/j.issn.1001-0505.2017.03.031
基于拥堵辨识的城市路网优化模型
Urban traffic congestion optimization model based on bi-level programming
摘要
Abstract
To improve the situation of road traffic congestion,based on the analysis of the game relationship of urban road network traffic congestion,the lower decision-making objectives for traffic congestion level were established,the economic costs take the upper decision-making objectives of the urban road network optimization as a bi-level programming model.The upper model aimed at the optimization of the cost in which operators invest for road network operation.The lower model optimized the travel efficiency of the road network.The genetic algorithm was proposed to solve the process.Taking a regional traffic network in Nanjing as an example,the results show that the optimized network performance is better than that of the original road network.Both the speed of the road network running and the service level are improved.Both maintenance costs and delays are reduced.The bi-level programming model is mainly used to reform and upgrade the road sections with the low level and the high saturation in the road network.In a certain cost range,realizing the optimal balance between traffic congestion and costs can provide a reference for road network optimization decisions.关键词
交通拥堵/路网优化/双层规划/遗传算法Key words
traffic congestion/road network optimization/bi-level programming/genetic algorithm分类
交通工程引用本文复制引用
诸云,王建宇,高宁波,杨莹..基于拥堵辨识的城市路网优化模型[J].东南大学学报（自然科学版）,2017,47(3):607-612,6.基金项目
国家自然科学基金资助项目(51178157)、国家统计科研计划资助项目(2012LY150)、中央高校基本科研业务费专项资金资助项目(30916011338)、江苏省普通高校专业学位研究生创新计划资助项目(SJLX16_0154). （51178157）
