考虑弹性需求的城市枢纽间多方式时刻表优化

交通运输系统工程与信息 ›› 2021, Vol. 21 ›› Issue (1): 16-22.

• 综合交通运输体系论坛 • 上一篇下一篇

考虑弹性需求的城市枢纽间多方式时刻表优化

卢天伟^a，姚恩建^{*a, b}，杨扬^{a, b}，郇宁^a，陈琳^a

北京交通大学，a. 交通运输学院；b. 综合交通运输大数据应用技术交通运输行业重点实验室，北京 100044

收稿日期:2020-09-20 修回日期:2020-12-16 出版日期:2021-02-25 发布日期:2021-02-25
作者简介:卢天伟(1995- )，男，内蒙古赤峰人，博士生。
基金资助:
国家重点研发计划/National Key Research and Development Program of China(2018YFB1601300)。

Multimodal Timetable Optimization Between Urban Transport Hubs Considering Elastic Demand

LU Tian-wei^a, YAO En-jian^{*a, b}, YANG Yang^{a, b}, HUAN Ning^a, CHEN Lin^a

a. School of Traffic and Transportation; b. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China

Received:2020-09-20 Revised:2020-12-16 Online:2021-02-25 Published:2021-02-25

摘要/Abstract

摘要：

针对城市客运枢纽间综合运输通道协同性欠缺、运输效率低等问题，提出考虑弹性需求的城市客运枢纽间多方式时刻表协同优化方法。基于多项Logit模型对枢纽间乘客出行方式选择行为进行建模，分析各方式时刻表变动对出行需求的影响；以乘客等待总时间，时刻调整总数量，时刻调整总时间最小为优化目标，考虑弹性需求、时间窗、容量限制等约束，构建枢纽间多方式时刻表协同优化模型，并基于非支配排序遗传算法，结合客流加载仿真过程设计模型求解算法；最后，以“北京南站-北京首都国际机场”多方式通道为例检验模型的有效性。结果表明，时刻表优化方案的实施使各方式产生了较为明显的需求弹性变化效果，模型求解得到10种时刻表优化方案，其评价结果整体优于传统模型，最终筛选方案可缩短乘客等待时间10.36%。

关键词: 城市交通, 时刻表优化, 多目标优化, 交通枢纽, 多方式, 弹性需求

Abstract:

The existing operation of the integrated transport corridor between urban transport hubs appears to have poor coordination among travel modes and low transport efficiencies. In response to these problems, this paper proposes a multimodal timetable optimization method for urban passenger transport hubs and considers elastic transport demand. Based on the multinominal Logit model, the study developed a passenger travel mode choice behavior model to analyze the impact of timetable adjustment on the travel choices. In the multimodal timetable optimization model, the objective was the minimal total passenger waiting time, minimal total number of timetable adjustments, and minimal total timetable adjustment. The model constraints include elastic demand, time windows, and capacity limitations. A solution algorithm was designed using the non-dominated sequencing genetic algorithm and the passenger flow loading simulations. The“Beijing South Railway Station to Beijing Capital International Airport”multimodal corridor was used as a case study to verify the effectiveness of the model. The results show that the travel demand of each mode has some obvious elastic changes because of the proposed timetable optimization scheme. 10 timetable optimization schemes were obtained by solving the proposed model, and the overall optimization was more effective than the conventional model. The final selected scheme indicated the total passenger waiting time was reduced by 10.36%.

Key words: urban traffic, timetable optimization, multiobjective optimization, transport hub, multimodal transport, elastic demand

中图分类号:

U121

卢天伟，姚恩建，杨扬，郇宁，陈琳. 考虑弹性需求的城市枢纽间多方式时刻表优化[J]. 交通运输系统工程与信息, 2021, 21(1): 16-22.

LU Tian-wei, YAO En-jian, YANG Yang, HUAN Ning, CHEN Lin. Multimodal Timetable Optimization Between Urban Transport Hubs Considering Elastic Demand[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(1): 16-22.

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考虑弹性需求的城市枢纽间多方式时刻表优化

Multimodal Timetable Optimization Between Urban Transport Hubs Considering Elastic Demand

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