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基于IC卡识别通勤客流的公交线路多模式调度 被引量:1

A Transit Multi-mode Scheduling Research Based on Commuter Flow
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摘要 为解决现有的公交调度方式忽略了线路站点间空间客流分布的不均匀性,使得线路运行效率不高,本文提出了一种根据通勤客流构建单线路的多种调度模型,并设计相应算法,求解出在时间上和空间上与客流需求匹配调度模式。最后选取绵阳市一条实际的公交线路,进行案例分析,结果表明,通过该方式,高峰时段乘客总体时间比原来减少了5 290.9 min,优化效率高达13.93%,表明该方法能够节约乘客出行时间,提高线路运行效率。 In order to solve the existing bus scheduling flaws of ignoring spatial distribution between line stations and low operation efficiency of the lines, a kind of scheduling model of single line based on commutation passenger flow is proposed, and the corresponding algorithm is designed to solve the scheduling model with the requirement of passenger flow in time and space. Lastly, a bus line of Mianyang City is used in an actual case analysis, and the result shows that in this way, the peak passenger overall time is reduced by 5 290.9 rain, with the optimization efficiency as high as 13.93%, which indicates that the method can save the passenger travel time and improve the efficiency of the line.
作者 罗孝羚 蒋阳升 吴奇 姚志洪 李思怡 LUO Xiaoling;JIAYNG Yangsheng;WU Qi;YAO Zhihong;Li Siyi(School of Transportation and Logistics;National United Engineering Laboratory of Integrated and Intelligent Transportation,Southwest Jiaotong University,Chengdu 610031,China)
出处 《工业工程》 北大核心 2018年第5期81-86,共6页 Industrial Engineering Journal
基金 国家自然科学基金资助项目(50678153) 国家自然科学基金青年项目(71402149) 重庆市应用开发计划重点项目(cstc2014yykfB30003 2015H01373)
关键词 城市交通 调度模式 公交IC卡 遗传算法 urban transportation scheduling mode transit IC card genetic algorithm
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