• DocumentCode
    2723619
  • Title

    A neural network approach to the vehicle dispatching problem

  • Author

    Potvin, J.-Y. ; Shen, Yanming

  • Author_Institution
    Centre de Recherche sur les Transp., Montreal Univ., Que.
  • fYear
    1991
  • fDate
    8-14 Jul 1991
  • Abstract
    Summary form only given. Decision making with respect to the dispatching of vehicles and crews is still mainly in the realm of human expertise. On the basis of their own experience, the authors suggest that it seems very difficult to explicitly model that expertise via a symbolic approach. They thus propose an alternative neural network model as a subsymbolic and empirical alternative for modeling the decision process of expert dispatchers. Preliminary results on the ability of the network to reproduce systematic decision rules were obtained
  • Keywords
    dispatching; goods dispatch data processing; neural nets; crews; decision process; empirical alternative; neural network approach; subsymbolic; systematic decision rules; vehicle dispatching problem; Decision making; Dispatching; Humans; Neural networks; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-0164-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.1991.155454
  • Filename
    155454