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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    Title :

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


    Contributors:


    Publication date :

    2007-09-01


    Size :

    662799 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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