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Modelling Mode Choice by Means of an Artificial Neural Network

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  • K A Raju
  • P K Sikdar
  • S L Dhingra

Abstract

In this paper the applicability of an artificial neural network for modelling modal choice is examined. Characteristics of transportation modes and of individuals are used as input variables, and the mode selected is the output variable. We applied the network to the Indian city of Guwahati by using various numbers of modes. Although the trained network reproduced the observations in the training data accurately, predictability was low when the untrained data set was used. However, predictabilty was better when a smaller number of modes were modelled.

Suggested Citation

  • K A Raju & P K Sikdar & S L Dhingra, 1996. "Modelling Mode Choice by Means of an Artificial Neural Network," Environment and Planning B, , vol. 23(6), pages 677-683, December.
    • Handle: RePEc:sae:envirb:v:23:y:1996:i:6:p:677-683
    DOI: 10.1068/b230677
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