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Adjustment boarding and alighting passengers on a bus transit line using qualitative information

机译:使用定性信息调整登乘和上下车的乘客

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摘要

Obtaining data to use in an urban public transport operation planning and analysis is problematic, particularly in urban bus transit lines. In an urban environment and for bus services, most ticketing methods can be used to record passengers getting on board but not getting off, and current methods are unable to make a proper adjustment of boardings and alightings based on the available data unless they do alighting counts. This paper presents a method whereby counts are made at fewer stops and qualitative information on alightings and/or vehicle loads between consecutive stops is used to make the boarding and alighting adjustment as a previous step to obtain the real origin and destination (O/ D) of passengers allowing the O/D matrix calibration by using the loads between stops. Qualitative information can be obtained by the vehicle's driver or an on board observer, avoiding the necessity of counting many stops in planning period. The method is applied to a real bus transit line in Malaga (Spain) and to a set of 50 different bus transit lines with number of stops ranging from 10 to 75. The results show that the proposed method reduces the adjustment errors with regard to traditional methods, such as Least Square Method, even in the situation where no qualitative information is used. When qualitative data is used on alightings and loadings, the reduction of the average error is over 50%.
机译:获取数据以用于城市公共交通运营规划和分析是有问题的,尤其是在城市公交线路中。在城市环境和公交服务中,大多数票务方法可用于记录登上但未下车的乘客,并且当前方法无法根据可用数据对登机和下车进行适当的调整,除非他们进行下车计数。本文介绍了一种方法,该方法可以在较少的站点上进行计数,并在连续的站点之间使用有关下车和/或车辆负载的定性信息来进行登机和下车调整,以此作为获得实际出发地和目的地的前一步通过使用站点之间的负载进行O / D矩阵校准的乘客数量。定性信息可以由车辆的驾驶员或机上观察员获得,从而避免了在计划期间计算许多停靠点的必要。该方法适用于西班牙马拉加的实际公交线路和一组50条不同的公交线路,其停靠点数量在10到75之间。结果表明,该方法减少了传统方法的调整误差方法,例如最小二乘法,即使在不使用定性信息的情况下也是如此。当对下车和装载使用定性数据时,平均误差的减少超过50%。

著录项

  • 来源
    《Applied Mathematical Modelling》 |2014年第3期|1147-1158|共12页
  • 作者单位

    TRYSE Research Group, Department of Civil Engineering, University of Granada. ETSI Caminos, Canutes y Puertos, c/Severo Ochoa, s, 18071 Granada, Spain;

    Department of Civil Engineering, University of Granada, ETSI Caminos, Canales y Puertos, c/Severo Ochoa, s, 18071 Granada, Spain;

    Applied Mathematics Department, University of Malaga, E.T.S. Computer Science Engineering, Boulevard Louis Pasteur, s, 29071 Malaga, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Fuzzy optimization; Transport planning; Public transport;

    机译:模糊优化;运输计划;公共交通;

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