Abstract This paper gives the approximation joint probability distribution function of the link traffic flows on a network. The knowledge of such distribution enables us to derive the log-likehood function for the estimation (with link data) of the traffic diversion parameter, Ф, that appears in most stochastic assignment models. It also enables us to perform goodness to fit statistical tests for the validation of traffic assignment methods. Both of these procedures are illustrated with a small numerical example. It is also pointed out that it is possible to calibrate and/or validate a traffic assignment model with incomplete data base (i.e. when traffic counts are only available on a few of the links of the networks).


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    Title :

    Some statistical problems in connection with traffic assignment


    Contributors:

    Publication date :

    1976-11-12


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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