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Application of an Activity-Based Travel-Demand Model Incorporating a Rule-Based Algorithm

Author

Listed:
  • R M Pendyala

    (Department of Civil and Environmental Engineering, University of South Florida, ENB 118, Tampa, FL 33620, USA)

  • R Kitamura

    (Department of Transportation Engineering, Faculty of Engineering, Kyoto University, Sakyo-ku, Kyoto 606, Japan)

  • D V G Prasuna Reddy

    (Institute of Transportation Studies, University of California, Davis, CA 95616, USA)

Abstract

In this paper an activity-based travel-demand model called AMOS is described. The model system is capable of simulating changes in individual activity and travel behavior that may be brought about by a change in the transportation system. These simulations may then be used to predict the impacts of various transportation policies on regionwide travel characteristics. A rule-based activity-scheduling algorithm is at the heart of AMOS. The algorithm simulates changes in activity and travel patterns while recognizing the presence of constraints under which travelers make decisions. Operationally, the algorithm reads the baseline activity and travel pattern of an individual and then determines the most probable adjustments that the individual may make in response to a transportation policy. In this paper, the scheduling algorithm is described in detail and sample results from a case study in the Washington, DC metropolitan area are provided.

Suggested Citation

  • R M Pendyala & R Kitamura & D V G Prasuna Reddy, 1998. "Application of an Activity-Based Travel-Demand Model Incorporating a Rule-Based Algorithm," Environment and Planning B, , vol. 25(5), pages 753-772, October.
    • Handle: RePEc:sae:envirb:v:25:y:1998:i:5:p:753-772
    DOI: 10.1068/b250753
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    References listed on IDEAS

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    1. Kitamura, Ryuichi, 1984. "Incorporating trip chaining into analysis of destination choice," Transportation Research Part B: Methodological, Elsevier, vol. 18(1), pages 67-81, February.
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