Abstract This paper develops a model, based on Bayesian beliefs networks, for representing mental maps and cognitive learning into micro-simulation models of activity-travel behavior. Mental maps can be used to address the problem that choice sets in models of travel demand are often ad hoc specified. The theory underlying the model is discussed, a specification is derived and numerical simulation is used to illustrate the properties of the model.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Representing mental maps and cognitive learning in micro-simulation models of activity-travel choice dynamics


    Contributors:

    Published in:

    Publication date :

    2005




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English



    Classification :

    BKL:    55.80 Verkehrswesen, Transportwesen: Allgemeines / 74.75 Verkehrsplanung, Verkehrspolitik
    Local classification TIB:    535/7000




    Representing pedestrian activity in travel demand models: Framework and application

    Clifton, Kelly J. / Singleton, Patrick A. / Muhs, Christopher D. et al. | Elsevier | 2016



    Micro-simulation of daily activity-travel patterns for travel demand forecasting

    Kitamura, Ryuichi / Chen, Cynthia / Pendyala, Ram M. et al. | Online Contents | 2000


    COGNITIVE MODELLING AND SIMULATION OF DRIVERS MENTAL MODELS

    Bellet, T. / Bailly, B. / Mayenobe, P. et al. | British Library Conference Proceedings | 2005