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作 者:王耀 李继铭 高申 刘光杰 徐忠全 WANG Yao;LI Jiming;GAO Shen;LIU Guangjie;XU Zhongquan(School of Electronic&Information Engineering,Nanjing University of Information Science&Technology,210044,Nanjing,China;Nanjing Metro Operation Co.,Ltd.,211135,Nanjing,China;Nanjing Panda Information Industry Group Corporation,210002,Nanjing,China;Beijing Signal Group Research Institute Co.,Ltd.,100070,Beijing,China)
机构地区:[1]南京信息工程大学电子与信息工程学院,南京210044 [2]南京地铁运营有限责任公司,南京211135 [3]南京熊猫信息产业集团公司,南京210002 [4]北京全路通信信号研究设计院集团有限公司,北京100070
出 处:《城市轨道交通研究》2024年第12期317-321,共5页Urban Mass Transit
基 金:国家重点研发计划项目(2021QY0700);国家自然科学基金项目(U21B2003)。
摘 要:[目的]城市轨道交通迅猛发展,许多城市已形成多运营主体的轨道交通线网,并围绕“一卡通”和虚拟二维码等公共交通支付手段已融合形成更大的市域交通网络。城市轨道交通线网作为连接各种交通网络的核心,其票务清分尤为重要,有必要为国内相关城市票务清分系统建设和设计提供更为合理的清分方法。[方法]介绍了国内外城市轨道交通票务清分方案,对国内主要城市在多线路出行下的票务清分方法进行了分析和比较,通过分析清分模型与算法的优缺点选取适用的票务清分方法。[结果及结论]国内普遍采用的一票换乘模式,使得其仅依赖OD(起讫点)对记录,难以公平合理地将票款分配给可能涉及的多个运营主体,更为科学合理的清分方案需要进一步加强对AFC(自动售检票)系统的大数据研究,更需要依托现有技术与计算模型加强对乘客选择路径行为的实时分析和超时预测精度,以推动清分机制能够按照实际运营情况准确地进行自适应动态调整。[Objective]With the rapid development of urban rail transit,many cities have formed rail transit line networks with multiple operating entities,and have integrated around public transportation payment methods such as"one-card"and virtual QR codes to form a larger urban transportation network.As the core of connecting all kinds of transportation networks,the ticket clearing for urban rail transit line network is especially important.It is necessary to provide a more reasonable clearing method for the construction and design of ticket clearing systems for relevant cities in China.[Method]Through an introduction to urban rail transit ticket clearing schemes in both domestic and foreign cities,the ticket clearing methods for multi-line travel in major Chinese cities are analyzed and compared,and the applicable ticket clearing method is selected through analyzing the advantages and disadvantages of the clearing models and algorithms.[Result&Conclusion]The one-ticket transfer model commonly used in China relies only on OD(origin and destination)for checking records,making it difficult to fairly and reasonably distribute the fare to multiple operating entities that may be involved.A more scientific and reasonable clearing scheme needs to further strengthen big data research on the AFC(automatic fare collection)system,and more importantly,relying on existing technologies and computing models is required to strengthen the real-time analysis and overtime prediction accuracy of passengers′path selection behavior,so as to enable the clearing mechanism accurately make adaptive dynamic adjustments according to actual operating conditions.
分 类 号:U293.22[交通运输工程—交通运输规划与管理]
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