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An Agent-Based Approach to Travel Demand Modeling: An Exploratory Analysis

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Author Info

  • Lei Zhang
  • David Levinson

    ()
    (Nexus (Networks, Economics, and Urban Systems) Research Group, Department of Civil Engineering, University of Minnesota)

Abstract

The paper develops an agent-based travel demand model. In this model, travel demands emerge from the interactions of three types of agents in the transportation system: node, arc and traveler. Simple local rules of agent behaviors are shown to be capable of efficiently solving complicated transportation problems such as trip distribution and traffic assignment. A unique feature of the agent-based model is that it explicitly models the goal, knowledge, searching behavior, and learning ability of related agents. The proposed model distributes trips from origins to destinations in a disaggregate manner and does not require path enumeration or any standard shortest-path algorithm to assign traffic to the links. A sample 10-by-10 grid network is used to facilitate the presentation. The model is also applied to the Chicago sketch transportation network with nearly 1000 trip generators and sinks, followed by a discussion of possible calibration procedures. The agent-based modeling techniques provide a flexible travel forecasting framework that facilitates the prediction of important macroscopic travel patterns from microscopic agent behaviors, and hence encourages the studies on individual travel behaviors. Future research directions are identified, as are the relationship between the agent-based and activity-based approaches for travel forecasting.

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File URL: http://nexus.umn.edu/Papers/Agent.pdf
File Function: First version, 2007
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Bibliographic Info

Paper provided by University of Minnesota: Nexus Research Group in its series Working Papers with number 200405.

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Date of creation: 2004
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Publication status: Published in Transportation Research Record: Journal of the Transportation Research Board #1898 pp. 28-38
Handle: RePEc:nex:wpaper:agent

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Postal: Dept. of Civil Engineering, 500 Pillsbury Drive SE, Minneapolis, MN 55455
Phone: +01 (612) 625-6354
Fax: +01 (612) 626-7750
Web page: http://nexus.umn.edu
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Related research

Keywords: Travel forecasting; Agent-based model; Travel behavior; Trip distribution; Traffic assignment; Shortest path algorithm; Activity-based model;

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References

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  1. Bhanu Yerra & David Levinson, 2005. "The emergence of hierarchy in transportation networks," The Annals of Regional Science, Springer, Springer, vol. 39(3), pages 541-553, 09.
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Cited by:
  1. McDonnell, Simon & Zellner, Moira, 2011. "Exploring the effectiveness of bus rapid transit a prototype agent-based model of commuting behavior," Transport Policy, Elsevier, vol. 18(6), pages 825-835, November.
  2. Lei Zhang & David Levinson, 2005. "Road Pricing with Autonomous Links," Working Papers, University of Minnesota: Nexus Research Group 200506, University of Minnesota: Nexus Research Group.
  3. Shanjiang Zhu & David Levinson & Lei Zhang, 2007. "An Agent-based Route Choice Model," Working Papers, University of Minnesota: Nexus Research Group 000089, University of Minnesota: Nexus Research Group.
  4. Lei Zhang & David Levinson & Shanjiang Zhu, 2007. "Agent-Based Model of Price Competition and Product Differentiation on Congested Networks," Working Papers, University of Minnesota: Nexus Research Group 200809, University of Minnesota: Nexus Research Group.

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