A vehicle route choice method based on uncertain multiple attribute decision making is put forward in the paper, aiming at solving such a problem that travelers have to take the following path indexes into account when they select an optimal route: travel time, travel fee and the degree of congestion, etc. Owing to the indefinite characteristics of the values of some indexes, the utility function cannot precisely interpret such a problem by arithmetic expression. Through the weighting and normative approach of three kinds of index values: real number, interval number, or fuzzy number in the decision matrix, positive and negative ideal points are set up. According to the rule that traveler’s selected route should be near to the positive ideal point and far away from the negative one, the optimal route is picked out according to the value of the comparative closeness. In the end, the rationality and validity of the algorithm are proved by an example.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Vehicle Route Choice Method Based on Uncertain Multi-Attribute Decision Making


    Beteiligte:
    Wu, Kaixin (Autor:in)

    Kongress:

    Sixth International Conference on Transportation Engineering ; 2019 ; Chengdu, China


    Erschienen in:

    ICTE 2019 ; 25-30


    Erscheinungsdatum :

    13.01.2020




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    Study on Multi-Attribute Decision-Making Problem with Uncertain Information

    Xiuwu, L. / Yuan, L. / Guangmao, D. | British Library Online Contents | 2005



    Selection of a Vehicle Using Multi-attribute Decision Making

    Pal, Kiran / Bahadur Singh, Lal / Kumar, Sanjeev | Springer Verlag | 2021


    Value of Traffic Externalities from Attribute-Based Stated Choice: Route Choice Experiment

    Parumog, Michelle / Mizokami, Shoshi / Kakimoto, Ryuji | Transportation Research Record | 2006