The use of traffic assignment methods with multiobjective decision making to remedy the shortcomings of conventional traffic assignment methods is discussed. The optimal flow patterns are determined using three objectives: total travel time for road users; air pollution for nonusers; and travel distance for government. By using multiobjective decision making and nonlinear programming techniques, a series of noninferior solutions is generated. By combining an eigenvector weighting method with pairwise comparison, a compromise solution for the flow pattern is obtained. As an application example the Taipei network system is discussed. The results show that if other nontraffic-related factors are taken into account, the multiobjective traffic assignment approach is more reasonable and suitable than conventional approaches.


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    Titel :

    Multiobjective decision making for traffic assignment


    Weitere Titelangaben:

    Mehrkriterien-Entscheidungsfindung für Verkehrslenkungsaufgaben


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    1993


    Format / Umfang :

    8 Seiten, 25 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch