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作 者:周旭 赵兴东 豆飞[2] 赵志强 Zhou Xu;Zhao Xingdong;Dou Fei
机构地区:[1]交控科技股份有限公司,北京100070 [2]北京市地铁运营有限公司,北京100044 [3]中车长春轨道客车股份有限公司,吉林长春130113
出 处:《现代城市轨道交通》2023年第6期1-7,共7页Modern Urban Transit
基 金:国家重点研发计划资助(2020YFB1600702);北京市科技新星计划项目(Z211100002121098)。
摘 要:随着城市轨道交通网络的快速发展,客流需求与运力供给之间的矛盾愈发突出。文章针对城市轨道交通线网中发生大客流的线路,从供给侧和需求侧2个角度出发,研究客流调度策略的制定,提出3种客流调度策略:运力调配策略、协同限流策略、组合策略。在大客流发生时,可以单独采用运力调配策略或协同限流策略,当采用单一策略无法满足客流需求时采用组合策略,即在改变运力的基础上采用协同限流策略。文章首先构建运力调配模型和协同限流模型,然后进行案例分析,根据线路信息和客流数据对模型进行求解,并从乘客候车时间、列车走行公里、列车最大满载率等方面进行对比分析,验证模型的有效性。With the rapid development of urban rail transit networks,the contradiction between passenger flow and transport capacity supply has become increasingly prominent.This paper focuses on lines with high passenger fl ow in urban rail transit networks and explores strategies for dispatching for passenger flow and trains from both the supply and demand sides.Three strategies are proposed:transportation capacity adjustment strategy,cooperative passenger flow restriction strategy,and combination strategy.In the event of large passenger fl ow,either the transportation capacity adjustment strategy or the cooperative passenger fl ow restriction strategy can be adopted individually.When a single strategy fails to meet passenger flow demand,the combined strategy,which involves implementing the cooperative passenger flow restriction strategy while adjusting transportation capacity,is adopted.Firstly,models for transportation capacity adjustment and cooperative passenger flow control are constructed,and then conducts case analysis to solve the model based on route information and passenger flow data.Comparative analysis is conducted from aspects such as passenger waiting time,train running distance,and maximum train load factor to verify the effectiveness of the proposed model.
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