As congestion management strategies begin to put more emphasis on person capacity than vehicle capacity, the need for vehicle occupancy data have never been greater. Unlike counting vehicles, which can be done with machine counters, counting the number of persons in a vehicle remains the task of human observers. As such, collecting vehicle occupancy data is a relatively costly task that requires careful planning and considerations. In the face of budget constraints, agencies must apply collection methods that strike a good balance between data accuracy and data acquisition cost. This study aims to achieve the following objectives: (1) To collect field data to evaluate existing methods of vehicle occupancy data collection with respect to their accuracy, cost-effectiveness, and practicality. (2) To present detailed deployment guidelines for the collection of vehicle occupancy data. (3) To develop vehicle occupancy prediction model as a function of local socio-economic data. (4) To evaluate and refine the field data collection tool developed in the first phase of this project. (5) To evaluate and refine the FAVORITE (Florida Accident Vehicle Occupancy Rate InformaTion Estimator) system.


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    Title :

    Vehicle Occupancy Data Collection Methods


    Contributors:
    A. Gan (author) / R. Jung (author) / K. Liu (author) / X. Li (author) / D. Sandoval (author)

    Publication date :

    2005


    Size :

    88 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




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