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基于客流直达的城市轨道交通跨站停开行方案优化研究
引用本文:杨安安,汪 波,陈绍宽,张翕然.基于客流直达的城市轨道交通跨站停开行方案优化研究[J].都市快轨交通,2022,35(2):91-98.
作者姓名:杨安安  汪 波  陈绍宽  张翕然
作者单位:北京市智慧交通发展中心,北京100161;综合交通运行监测与服务北京市重点实验室,北京100161,北京市地铁运营有限公司,北京100044,北京交通大学,北京100044
基金项目:北京市百千万人才工程培养经费资助项目;北京市自然科学基金
摘    要:随着我国城市轨道交通网络的不断扩大以及高质量发展要求,对网络化运营组织提出了更高的要求.对于不具备越行条件的线路,如何通过停站方案优化来提高列车运行速度是一个重要的研究方向.在对传统A/B跨站停运营模式优劣分析的基础上,提出了通过开行A/B/C 3类列车可同时提高列车运行速度且所有乘客无换乘的方案.首先,基于可乘坐列车...

关 键 词:城市轨道交通  A/B/C跨站停  开行方案  无换乘  遗传算法

Train Planning Optimization for Skip Stop Operation without Transfers in Urban Rail Transit
YANG Anan,WANG Bo,CHEN Shaokuan,ZHANG Xiran.Train Planning Optimization for Skip Stop Operation without Transfers in Urban Rail Transit[J].Urban Rapid Rail Transit,2022,35(2):91-98.
Authors:YANG Anan  WANG Bo  CHEN Shaokuan  ZHANG Xiran
Institution:Beijing Intelligent Transportation Development Center,Beijing Key Laboratory for Comprehensive Traffic Operation Monitoring and Service;Beijing Metro Operation Administration Corporation Limitied,;Beijing Jiaotong University
Abstract:With the rapid development of urban rail transit and the need to promote high-quality development, higher requirements have been put forward at the operational and organizational levels. For lines without overtaking facilities, it is important to improve the train speed by optimizing the train stopping plan. Based on the traditional A/B skip-stop mode, this paper proposes an A/B/C skip-stop mode to achieve a time-saver without transfers. First, the characteristics of all trips under various stopping patterns are investigated, and a mixed-integer programming model with stopping patterns and frequencies as decision variables is constructed. Additionally, a genetic algorithm was developed based on this model. Finally, the effectiveness of the proposed model and heuristic algorithm is verified through a set of real-life instances based on the Beijing Metro Line 6. The results show that the travel time and in-train time can be reduced by 2.15% and 6.79%, respectively, without transfers. If the waiting time is not considered, the in-train time can be reduced by 14.25%.
Keywords:urban rail transit  A/B/C skip stop  train plan  without transfer  genetic algorithm (GA)
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