The thesis deals with so-called probit-type trip assignment models for uncongested situations, with special attention given to stochastic simulation approaches for complete networks. The class of assignment models is typified vis-a-vis other assignment approaches for uncongested problems. A detailed description and critical analysis is given of the behavioral foundations of the model type using the random-utility discrete-choise theory as a starting point. An efficient performance of a probit model based trip assignment on a network scale is only feasible using a simulation approach. In this case the authors use the term stochastic assignment. The various aspects of the simulation approach (random number generation, randomization sequence, number of iterations, etc.) are critically reviewed and basic procedures of performing the simulations are compared with each other. The analysis leads to suggestions with respect to the specification of the route-choice impedance function as well as about the best simulation procedure. The thesis concludes with recommendations with respect to execution of stochastic trip assignments in planning practice.


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    Title :

    Toedeling van Verkeer in Congestievrije Netwerken (Traffic Assignment in Uncongested Networks)


    Contributors:

    Publication date :

    1990


    Size :

    243 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English







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