Accurate freeway travel time estimates are critical for transportation management and traveler information¿both infrastructure-based and in-vehicle. Infrastructure managers are interested in estimating optimal freeway sensor density for new construction and retrofits. This paper describes a concept developed from first principles of traffic flow for establishing optimal sensor density based on the magnitude of under- and over-prediction of travel time during shock passages when using the midpoint method. A suggested aggregate measure developed from vehicle hours traveled (VHT) is described for a reasonable range of detector densities. Extensions of the method to account for both recurring and nonrecurring congestion are included. Finally some suggestions for future research are described.


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    Titel :

    Toward Optimal Sensor Density for Improved Freeway Travel Time Estimation and Traveler Information


    Beteiligte:


    Erscheinungsdatum :

    01.09.2007


    Format / Umfang :

    662799 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch