交通运输系统工程与信息

交通运输系统工程与信息 ›› 2024, Vol. 24 ›› Issue (5): 116-127.DOI: 10.16097/j.cnki.1009-6744.2024.05.011

• 系统工程理论与方法 • 上一篇    下一篇

城市轨道交通网络跨线列车开行方案优化模型研究

茧敏1a,1b，陈绍宽*1a,1b，王卓1a，李昊1a   

  1. 1. 北京交通大学，a. 交通运输部综合交通运输大数据应用技术交通运输行业重点实验室；b. 中国综合交通研究中心，北京 100044)
  • 收稿日期:2024-05-28 修回日期:2024-07-05 接受日期:2024-07-16 出版日期:2024-10-25 发布日期:2024-10-22
  • 作者简介:茧敏(1995- )，男，山西霍州人，博士生。
  • 基金资助:
    国家自然科学基金(71621001)；北京市自然科学基金(L191023)。

Cross-line Train Service Plan Optimization in Urban Rail Transit Network

JIAN Min1a,1b, CHEN Shaokuan*1a,1b, WANG Zhuo1a, LI Hao1a   

  1. 1a. MOT Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport; 1b. Integrated Transport Research Center of China, Beijing Jiaotong University, Beijing 100044, China
  • Received:2024-05-28 Revised:2024-07-05 Accepted:2024-07-16 Online:2024-10-25 Published:2024-10-22
  • Supported by:
    National Natural Science Foundation of China (71621001)；Natural Science Foundation of Beijing, China (L191023)。

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摘要： 通过开行跨线列车减少乘客换乘次数可有效提升城市轨道交通运输服务水平，本文结合线网客流特征提出跨线方案备选方法，构建跨线列车开行方案优化模型。首先，根据研制的出行路径推算系统分析线网全日各类客流量及比例，确定线网跨线列车的跨线次数，获得备选跨线长交路集；其次，以乘客换乘次数最小化为目标构建满足运营基本条件和跨线能力约束的跨线列车开行方案模型，并嵌套基于发车频率客流分配的改进遗传算法求解，获得本线交路和跨线交路的开行频率；最后，以某城市轨道交通线网为例，研究跨线列车开行方案的优化效果。结果表明：在换乘站开行跨线长交路，全网换乘乘客总换乘次数减少了2.02%~5.97%，降低乘客换乘时间和线网换乘系数，同时直达客流增加了1.58%~4.58%；跨线长交路在衔接线路上承担小交路以补充断面运力，减少本线交路列车的开行频率，可减少线网的上线列车总数和列车正线走行公里数；此外，当换乘站的换乘客流量较高时，跨线长交路因衔接线路上本线交路列车开行频率较高而无法实施，且随着跨线交路开行频率接近跨线能力上限，运营服务水平的提升效果呈逐渐降低趋势。

关键词: 城市交通, 跨线运营, 遗传算法, 开行方案, 路径—乘车交路集推算配流

Abstract: In order to improve the service quality of urban rail transit by reducing transfer times, a method for generating cross-line train routes and an optimization model for planning train routes with cross-line operation are proposed based on the characteristics of passenger flow in the network. First, with the developed inference method of passenger travel routes, the various passenger flows and proportions in the network are calculated to obtain the crossline times, thereby generating the set of alternative long cross-line train routes. Then, with the goal of minimizing passenger transfer times, an optimization model for the operation of long cross-line train routes in the network is constructed, which satisfies the constraints of basic operating conditions and cross-line capacity. An improved genetic algorithm with a frequency-based passenger flow assignment method is used to solve the problem to obtain the operating frequency of the mainline and cross-line train routes in the network. Finally, the effect of long cross-line train routes is analyzed based on an urban rail network. The results show that the optimized train service plan reduces the transfer times of all transfer passengers by 2.02% to 5.97% . Thus, the passenger transfer time and network transfer coefficient are reduced, and the direct passenger flow is increased by 1.58% to 4.58% with the operated long cross-line train routes. The operated long cross-line train routes play the role of short train routes in the connected line to supplement the sectional transportation capacity, thus reducing the total number of running trains on the line and the train kilometers on the main line. In addition, when the transfer passenger volume at the transfer station is high, the cross-line train route cannot be operated due to the high operating frequency of the main-line train on the connected line, and the effect of improving the operational services gradually decreases as the operating frequency of the crossline train route reaches the upper limit of the cross-line capacity

Key words: urban traffic, cross-line operation, genetic algorithm, train service planning, passenger flow assignment with inference of path-riding routes

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