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Use of Automatic Vehicle Location and Passenger Count Data to Evaluate Bus Operations: Experience of the Chicago Transit Authority, Illinois

机译:使用自动车辆位置和乘客计数数据评估公交车运营:伊利诺伊州芝加哥市交通管理局的经验

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摘要

New technologies such as automatic vehicle location (AVL) and automatic passenger counters (APC) make tremendous amounts of data available to transit planners and operators. Transit agencies would like to use these data to inform service planning and management and ultimately to provide more reliable service. This requires data processing in such a way as to provide pertinent information to transit planners. The research presented considers a sample of data collected from Chicago Transit Authority buses during the initial stage of AVL and APC implementation in Chicago, Illinois. Methods were developed for extracting information from these data that could be used to compute service reliability indicators. This research also discusses some of the challenges encountered in the data collection process. At the time of the data collection, the home garage for the bus route under consideration was not fully stocked with AVL-equipped buses. Other challenges included the misplacement of some time points and undercounting by the APC system. The data proved useful even with these challenges, and valuable information, such as bus travel patterns, schedule adherence, and headway regularity, was gained from this study. By recognizing some of the challenges faced in the data collection process, this research provided insights that can be used to inform future larger-scale studies of transit operations using AVL and APC data.
机译:自动车辆定位(AVL)和自动乘客计数器(APC)等新技术使公交计划者和操作员可以获取大量数据。运输机构希望使用这些数据来通知服务计划和管理,并最终提供更可靠的服务。这需要以向运输计划者提供相关信息的方式进行数据处理。提出的研究考虑了在伊利诺伊州芝加哥市AVL和APC实施初期从芝加哥公交管理局公交车收集的数据样本。开发了从这些数据中提取信息的方法,这些方法可用于计算服务可靠性指标。这项研究还讨论了在数据收集过程中遇到的一些挑战。在收集数据时,正在考虑中的公共汽车路线的家用车库中没有配备AVL的公共汽车。其他挑战包括某些时间点的错位和APC系统的计算不足。即使面对这些挑战,数据也被证明是有用的,并且从这项研究中获得了有价值的信息,例如公共汽车出行方式,时间表依从性和车距规律性。通过认识到数据收集过程中面临的一些挑战,本研究提供了可用于为将来使用AVL和APC数据进行的大规模过境运输研究提供参考的见解。

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