Although there is an increasing demand for travel time prediction methods, the efforts put on urban streets are until now less than on freeways. In this paper, a macroscopic model of urban link travel time prediction is developed based on measurements collected by single loop detectors. This method divides travel times into two components: link cruising times and intersection delays. For each component the mean prediction and prediction interval were investigated in order to provide a reliable prediction. Prediction intervals around the mean prediction show the plausible range of travel times a vehicle is likely to encounter. Based on simulation data, it is demonstrated that urban link travel time prediction can be executed by this promising method.


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    Title :

    Prediction of urban travel times with intersection delays


    Contributors:
    Hao Liu, (author) / van Zuylen, H.J. (author) / van Lint, H. (author) / Yusen Chen, (author) / Ke Zhang, (author)


    Publication date :

    2005-01-01


    Size :

    374685 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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