交通运输系统工程与信息

交通运输系统工程与信息 ›› 2017, Vol. 17 ›› Issue (6): 214-220.

• 城市轨道交通网络化运营理论与方法 • 上一篇    下一篇

考虑线路输送能力利用的城市轨道交通列车开行方案优化方法

史芮嘉*，郑猛，姚智胜，兰亚京   

  1. 北京市城市规划设计研究院，北京100045
  • 收稿日期:2017-07-04 修回日期:2017-09-16 出版日期:2017-12-25 发布日期:2017-12-25
  • 作者简介:史芮嘉(1991-)，女，河北石家庄人，博士.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(71390332, 71621001-3, 71571015)；中央高校基本科研业务费专项资金/ The Fundamental Research Funds for the Central Universities(2016YJS086).

Optimization of Train Plan by Considering Conveying Capacity Utilization in Urban Rail Transit

SHI Rui-jia, ZHENG Meng, YAO Zhi-sheng, LAN Ya-jing   

  1. Beijing Municipal Institute of City Planning & Design, Beijing 100045, China
  • Received:2017-07-04 Revised:2017-09-16 Online:2017-12-25 Published:2017-12-25

PDF

被引次数

2

摘要：

考虑线路输送能力利用的空间不均衡性，建立以线路输送能力利用率最大化、上线车组数和乘客出行费用最小化为目标，以交路形式、发车频率、列车编组为决策变量的多交路列车开行方案优化模型.设计线性加权法与遗传算法相结合的求解算法.结合算例，对比单一交路、嵌套交路和衔接交路最优开行方案下的列车运行效果及在不同客流特征下的适用性.结果表明，以输送能力利用率最大化为目标能够有效提升线路输送能力利用率及其空间均衡性，符合乘客和企业的共同利益；对于单峰型客流集中线路，保持最大客流断面位置及取值不变，当单峰内客流需求比例超过30%时，适宜开行多交路列车.

关键词: 城市交通, 输送能力利用率, 列车开行方案, 多交路, 遗传算法

Abstract:

By considering the disparity of line conveying capacity utilization in space, the optimization model of train plan is established. The optimizing goals are the line conveying capacity utilization maximization, the used train number and passenger travel cost minimization. The decision variables are the routing plan, the formation plan and service frequency. The algorithm combined with linear weighting method and genetic algorithm is designed. The applicability of the single routing, nested routing and joint routing is analyzed under different demand situations. The result indicates that taking line conveying capacity utilization maximization as one optimizing goal can effectively improve the line conveying capacity utilization and spatial equilibrium. Multi-routing mode is suitable for one line of unimodal section passenger flow. Maintain the maximum passenger flow section position and value unchanged, and if the passenger demand in the unimodal sections is more than 30%, multi- routing modes are more suitable than single routing mode.

Key words: urban traffic, conveying capacity utilization, train plan, multi-routing mode, genetic algorithm

中图分类号: