基于累积前景理论和退化路网的潮汐车道优化  

Variable Lanes Design with Cumulative Prospect Users and Degradable Network

作　　者：魏庆琦[1,2] 肖伟 WEI Qing-qi;XIAO Wei(School of Management and Economics,University of Electronic Science and Technology of China,Chengdu 610054,China;School of Economics and Management,Chongqing Jiaotong University,Chongqing 400074,China)

机构地区：[1]电子科技大学经济与管理学院,四川成都610054 [2]重庆交通大学经济与管理学院,重庆400074

出　　处：《数学的实践与认识》2021年第15期13-20,共8页Mathematics in Practice and Theory

基　　金：国家自然科学基金项目(71471024,71702016);教育部人文社科基金项目(20YJC630156);2020年重庆市教委人文社会科学研究规划项目(20SKGH080)。

摘　　要：在不同时间段根据出行需求对现有车道数进行动态调整,是解决超大城市通勤"潮汐交通"问题的有效手段.构建了城市可持续交通的"潮汐车道"优化多目标双层规划模型.上层问题分别以系统时间最短和系统碳排放量最少为目标,构建多目标优化模型.下层模型基于双参考点累积前景用户群和随机退化路网,构建了以到达时间感知价值最大为目标的流量分配模型.为了求解构建的"潮汐车道"双层优化模型,设计了基于车道自动调整的启发式算法,并通过算例验证了本文提出的模型和算法的有效性.Variable lane is an effective way to deal with tidal traffic problem in big cities.In this paper,we developed a multi-objective bi-level programming model to design variable lane in the morning peak and the evening peak.The upper level problem aims to minimize the total travel time and total CO2 emissions.And the lower level problem is a flow distribution model based on double reference point cumulative perception user and stochastic degradable network.To solve the multi-objective bi-level programming model,a heuristic algorithm is developed.Finally,a numerical example is conducted to verify the effectiveness of model and the algorithm we developed.

关 键 词：城市交通 潮汐车道 累积前景理论 退化路网 多目标双层规划 

分 类 号：U491[交通运输工程—交通运输规划与管理]