Electronic fareboxes integrated with Automatic Vehicle Location (AVL) systems can provide location-stamped records to infer passenger boarding at individual stops. However, bus loads and Origin-Destination (OD) flows, which are useful for route planning, design, and real-time controls, cannot be derived directly from farebox data. Recently, Wi-Fi sensors have been used to collect passenger OD flow information. But the data are insufficient to capture the variation of passenger demand across bus trips. In this study, we propose a hierarchical Bayesian model to estimate trip-level OD flow matrices and a period-level OD flow matrix using sampled OD flow data collected by Wi-Fi sensors and boarding data provided by fareboxes. Bus loads on each bus trip are derived directly from the estimated trip-level OD flow matrices. The proposed method is evaluated empirically on an operational bus route and the results demonstrate that it provides good and detailed transit route-level passenger demand information by combining farebox and Wi-Fi signal data.


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    Title :

    Estimating Bus Loads and OD Flows Using Location-Stamped Farebox and Wi-Fi Signal Data


    Contributors:
    Yuxiong Ji (author) / Jizhou Zhao (author) / Zhiming Zhang (author) / Yuchuan Du (author)


    Publication date :

    2017




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Estimating Passenger Miles, Origin-Destination Patterns, and Loads with Location-Stamped Farebox Data

    Navick, D. S. / Furth, P. G. / Transportation Research Board | British Library Conference Proceedings | 2002


    Estimating Passenger Miles, Origin–Destination Patterns, and Loads with Location-Stamped Farebox Data

    Navick, David S. / Furth, Peter G. | Transportation Research Record | 2002



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