Application of an activity-based travel-demand model incorporating a rule-based algorithm

R. M. Pendyala, R. Kitamura, D. V.G. Prasuna Reddy

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)753-772
Number of pages20
JournalEnvironment and Planning B: Planning and Design
Volume25
Issue number5
DOIs
StatePublished - Sep 1998
Externally publishedYes

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Architecture
  • Urban Studies
  • Nature and Landscape Conservation
  • Management, Monitoring, Policy and Law

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