The assumption of route choice behavior plays an essential role in various traffic assignment models. Regret theory (RT) that assumes travelers being regret averse, might be more reasonable and realistic than the traditional utility maximization theory. Using RT, we develop a new combined trip distribution and traffic assignment model in this paper. The model is formulated as a variational inequality and solved by a path-based algorithm with the use of the method of successive averages. A numerical study is conducted for illustrating the difference between results given by the proposed model and the traditional model. It is shown that regret aversion indeed influences the travelers’ route choice behavior.


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    Title :

    A Regret Theory-Based Combined Trip Distribution and Traffic Assignment Model


    Contributors:
    Li, Meng (author) / Huang, Hai-Jun (author)

    Conference:

    16th COTA International Conference of Transportation Professionals ; 2016 ; Shanghai, China


    Published in:

    CICTP 2016 ; 2116-2127


    Publication date :

    2016-07-01




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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