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Route Design Model of Feeder Bus Service for Urban Rail Transit Stations

机译:城市轨道交通车站接驳车路线设计模型

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摘要

As an important part of urban public transportation systems, the feeder bus fills a service gap left by rail transit, effectively extending the range of rail transit's service and solving the problem of short-distance travel and interchanges. By defining the potential demand of feeder bus services and considering its relationship with the traffic demands of corresponding staging areas, the distance between road and rail transit, and the repetition factor of road bus lines, this paper established a potential demand model of roads by opening feeder bus services and applying a logit model for passenger flow distribution. Based on a circular route model, a route starting and ending at urban rail transit stations was generated, and a genetic algorithm was then applied to solve it. The Wei-Fang community of Shanghai was selected as the test area. Per the model and algorithm, the feeder route length was conformed to a functional orientation of short-distance travel and the feeder service of a feeder bus; the route mostly covered where conventional bus lines were fewer, which is a finding that is in agreement with the actual situation; the feasibility of the model and algorithm was verified.
机译:接驳巴士作为城市公共交通系统的重要组成部分,填补了轨道交通留下的服务空白,有效地拓宽了轨道交通的服务范围,解决了短途旅行和换乘问题。通过定义支线公交车的潜在需求,并考虑其与相应登台区的交通需求,公路与轨道交通之间的距离以及公路公交线路的重复因子之间的关系,建立了开放式公路的潜在需求模型。接驳巴士服务,并应用Logit模型进行客流分配。基于圆形路径模型,生成了城市轨道交通站点的起点和终点,然后应用遗传算法对其进行求解。上海的潍坊社区被选为测试区域。根据模型和算法,支线路径长度符合短途行驶的功能方向和支线公交的支线服务。路线大部分覆盖了传统公交线路较少的地方,这一发现与实际情况相符;验证了该模型和算法的可行性。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第2017期|1090457.1-1090457.6|共6页
  • 作者单位

    Southeast Univ, Sch Transportat, Si Pai Lou 2, Nanjing 210096, Jiangsu, Peoples R China;

    Southeast Univ, Sch Transportat, Si Pai Lou 2, Nanjing 210096, Jiangsu, Peoples R China;

    Southeast Univ, Sch Transportat, Si Pai Lou 2, Nanjing 210096, Jiangsu, Peoples R China;

    Changan Univ, Sch Highway, South Second Ring Rd, Xian 710064, Peoples R China;

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  • 入库时间 2022-08-17 13:52:36

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