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TRB 91st Annual Meeting (January 22-26, 2012)
Event Number:
711
Event Title:
Innovations in Activity and Travel Behavior
Event Date:
Jan 25 2012 8:30AM- 10:15AM
Event Location:
Hilton, International Center
Event Description:
Event Agenda:
Agent-Based Model of Dynamic Activity-Travel Scheduling and Implementation (12-3715)
This paper describes the conceptual framework, an agent model, and an agent based model of dynamic activity-travel scheduling and implementation. This multi-agent based framework is composed of three components and is capable of handling long-term, mid-term, and short-term dynamics. An agent model is proposed to support dynamic activity-travel scheduling. Given the agent model, agents can adapt their behaviors and make decisions in a complex and dynamic environment by applying learning techniques. Agents can communicate and interact with other agent(s) in the system so that agents are not restricted in household but equally treated in the system. Agents can process different sorts of information and can schedule and predict which activities are conducted when, where, for how long, with whom, and the transport mode involved. In addition, various situational, temporal, spatial, and spatial-temporal constraints can be incorporated in the agent model. Thanks to the flexible agent model, joint activities and travels can be naturally formed by means of negotiation; a personalized supernetwork representation and computation can be integrated in the agent model. The system proposed in this paper is useful to develop computational models of activity-travel choice behavior.
Authors
Ma, Huiye , Eindhoven University of Technology, Netherlands
Arentze, Theo A., Eindhoven University of Technology, Netherlands
Timmermans, Harry J.P., Eindhoven University of Technology, Netherlands
Transportation Research Board. 500 Fifth St. NW, Washington, D.C. 20001
Copyright © 2012. National Academy of Sciences. All Rights Reserved.