Evaluation of travel-time data quality from traveler information systems (TISs) is a critical need for many transportation agencies. To measure data quality, observations of ground-truth travel time must be collected on links in a transportation network. Therefore, selecting which links in the network to monitor is a critical step in evaluating the quality of a TIS. This paper presents a maximum entropy sampling (MES) design that can be used to objectively select a subset of links from a road network for ground-truth data collection. This approach objectively identifies subsets of links that have the greatest variability in traffic conditions. This allows for a more rigorous evaluation of a TIS to determine the system's ability to effectively capture changing traffic conditions. The MES method was evaluated using both a simulated and an empirical data set.


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    Titel :

    Application of Maximum Entropy Sampling Design to Traveler Information System Data-Quality Evaluations


    Beteiligte:


    Erscheinungsdatum :

    2015



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch


    Schlagwörter :

    Klassifikation :

    BKL:    56.24 Straßenbau / 74.75 / 56.24 / 55.84 / 74.75 Verkehrsplanung, Verkehrspolitik / 55.84 Straßenverkehr
    Lokalklassifikation TIB:    770/7000