考虑广义出行费用的城市客运交通结构优化  

Research on Optimization of Urban Passenger Transport Structure Considering Generalized Travel Costs

作　　者：户佐安[1,2,3] 周媛媛 孙燕 薛锋[1,2,3] HU Zuoan;ZHOU Yuanyuan;SUN Yan;XUE Feng(School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China;National Engineering Laboratory for Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu 611756, China;National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 611756, China)

机构地区：[1]西南交通大学交通运输与物流学院,成都611756 [2]西南交通大学综合交通大数据应用技术国家工程实验室,成都611756 [3]西南交通大学综合交通运输智能化国家地方联合工程实验室,成都611756

出　　处：《武汉理工大学学报（交通科学与工程版）》2022年第1期6-11,共6页Journal of Wuhan University of Technology（Transportation Science & Engineering）

基　　金：成都市科技项目(2020-RK00-00204-ZF);四川省科技计划项目(2021YJ0067)。

摘　　要：从交通管理者和出行者两个视角分析了广义出行费用,以两个视角下的广义出行费用最小和交通总效用最大为目标构建了城市客运交通结构多目标优化模型,并提出了相应的约束条件.通过灰色关联度将多目标转化为单目标,设计了自适应遗传算法进行求解,并以北京市中心城区为例验证了模型和求解方法的可行性,优化后的规划年北京市绿色出行比例达到了86.73%,其中,公共交通出行比例达到了42.06%,小汽车出行比例下降了11.97%.The generalized travel cost was analyzed from the perspectives of traffic managers and travelers.The multi-objective optimization model of urban passenger transport structure was constructed with the objective of minimizing the generalized travel cost and maximizing the total traffic utility from two perspectives,and the corresponding constraints were put forward.Multi-objective was transformed into single objective by grey relational degree,and adaptive genetic algorithm was designed to solve it.Taking the downtown area of Beijing as an example,the feasibility of the model and solution method was verified.The results show that in the optimized planning year,the proportion of green travel in Beijing reached 86.73%,of which the proportion of public transportation travel reached 42.06%,and the proportion of car travel decreased by 11.97%.

关 键 词：城市交通 客运交通结构 广义出行费用 灰色关联度 

分 类 号：U121[交通运输工程]