基于众筹出行需求数据的互联网巴士线路设计模型及应用
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摘要
针对近年兴起的"互联网巴士"交通新模式,基于互联网平台收集的乘客出行OD数据,建立相应的多层优化模型进行需求响应型公交线路方案设计,提高线路载运乘客数量以及服务质量.利用Arcgis、百度地图API等电子地图技术手段,将实时路况、交通网络拓扑信息等应用于模型中,智能快捷的完成从OD需求到线路方案的规划设计过程,并利用深圳小猪巴士的众筹数据进行算法的实例验证.
A new transit mode,Internet bus-booking service,is now in a period of rapid development because of its efficient plans of routes aiming at the demands of passengers. This paper conducts an optimized model of multilayer to design bus routes responding to demands based on the OD data collected by the Internet platform. This method helps improve not only the passenger capacity of the bus but also the quality of service,like the reduction of waiting time,travel time and congestion level in the bus. The tools used in this study include Arc GIS,Application Programming Interface Platform of Map Baidu and other electronic maps,making full use of real-time traffic and traffic network topology information. The model is confirmed by example,a route design based on the crowd sourcing data collected by Shenzhen Pig Bus,in the last part of this paper.
A new transit mode,Internet bus-booking service,is now in a period of rapid development because of its efficient plans of routes aiming at the demands of passengers. This paper conducts an optimized model of multilayer to design bus routes responding to demands based on the OD data collected by the Internet platform. This method helps improve not only the passenger capacity of the bus but also the quality of service,like the reduction of waiting time,travel time and congestion level in the bus. The tools used in this study include Arc GIS,Application Programming Interface Platform of Map Baidu and other electronic maps,making full use of real-time traffic and traffic network topology information. The model is confirmed by example,a route design based on the crowd sourcing data collected by Shenzhen Pig Bus,in the last part of this paper.
引文
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[5]张敏捷,冯偲,吕晨曦,等.定制公交线路优化模型及求解算法[C].北京:中国智能交通协会.第九届中国智能交通年会论文集,2014:166-173.
[6]杨晓庆,何明卫,何民.交通公众意见调查的主观性偏差及对策[J].道路交通与安全,2015,15(3):14-17.
[7]任华玲,高自友.动态公交网络设计的双层规划模型及算法[J].系统工程理论与实践,2007,5:82-89.
[8]邸振,饶三平.常规公交线网运力配置双层规划模型[J].南昌大学学报,2013,37(4):330-333.
[9]张强.即时定制的公交出行系统研究[D].南京:南京信息工程大学,2011.
[10]李春燕,李文权.快速公交(BRT)线路布局优化研究[J].道路交通与安全,2008,8(5):22-25.
[2]Vine S L,Lee-Gosselin M,Sivakumar A,et al.A new approach to predict the market and impacts of round-trip and point-to-point carsharing systems:Case study of London[J].Transportation Research Part D Transport&Environment,2014,32:218-229.
[3]Nair R,Miller-Hooks E.Equilibrium network design of shared-vehicle systems[J].European Journal of Operational Research,2014,235(1):47-61.
[4]程立勤.基于点线面层次分析法定制公交线网布局[J].大连交通大学学报,2014,35(3):23-26.
[5]张敏捷,冯偲,吕晨曦,等.定制公交线路优化模型及求解算法[C].北京:中国智能交通协会.第九届中国智能交通年会论文集,2014:166-173.
[6]杨晓庆,何明卫,何民.交通公众意见调查的主观性偏差及对策[J].道路交通与安全,2015,15(3):14-17.
[7]任华玲,高自友.动态公交网络设计的双层规划模型及算法[J].系统工程理论与实践,2007,5:82-89.
[8]邸振,饶三平.常规公交线网运力配置双层规划模型[J].南昌大学学报,2013,37(4):330-333.
[9]张强.即时定制的公交出行系统研究[D].南京:南京信息工程大学,2011.
[10]李春燕,李文权.快速公交(BRT)线路布局优化研究[J].道路交通与安全,2008,8(5):22-25.