An Agent-based Route Choice Model
Shanjiang Zhu,
David Levinson and
Lei Zhang
No 89, Working Papers from University of Minnesota: Nexus Research Group
Abstract:
Travel demand emerges from individual decisions. These decisions, depending on individual objectives, preferences, experiences and spatial knowledge about travel, are both heterogeneous and evolutionary. Research emerging from fields such as road pricing and ATIS requires travel demand models that are able to consider travelers with distinct attributes (value of time (VOT), willingness to pay, travel budgets, etc.) and behavioral preferences (e.g. willingness to switch routes with potential savings) in a differentiated market (by tolls and the level of service). Traditional trip-based models have difficulty in dealing with the aforementioned heterogeneity and issues such as equity. Moreover, the role of spatial information, which has significant influence on decision-making and travel behavior, has not been fully addressed in existing models. To bridge the gap, this paper proposes to explicitly model the formation and spread- ing of spatial knowledge among travelers. An Agent-based Route Choice (ARC) model was developed to track choices of each decision-maker on a road network over time and map individual choices into macroscopic flow pattern. ARC has been applied on both SiouxFalls network and Chicago sketch network. Comparison between ARC and existing models (UE and SUE) on both networks shows ARC is valid and computationally tractable. To be brief, this paper specifically focuses on the route choice behavior, while the proposed model can be extended to other modules of travel demand under an integrated framework.
Keywords: Agent-based model; route choice; traffic assignment; travel demand modeling (search for similar items in EconPapers)
JEL-codes: C72 D10 D83 R41 R48 (search for similar items in EconPapers)
Date: 2007
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Citations:
Published in Urban Science. 2(3), 58. (2018)
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http://hdl.handle.net/11299/179820 First version, 2007 (application/pdf)
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Persistent link: https://EconPapers.repec.org/RePEc:nex:wpaper:arc
DOI: 10.3390/urbansci2030058
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