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.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:


    Publication date :

    2015



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

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