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A Day-to-Day Route Choice Model Based on Reinforcement Learning
Joint Authors
Ma, Shoufeng
Wei, Fangfang
Jia, Ning
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-30
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
Day-to-day traffic dynamics are generated by individual traveler’s route choice and route adjustment behaviors, which are appropriate to be researched by using agent-based model and learning theory.
In this paper, we propose a day-to-day route choice model based on reinforcement learning and multiagent simulation.
Travelers’ memory, learning rate, and experience cognition are taken into account.
Then the model is verified and analyzed.
Results show that the network flow can converge to user equilibrium (UE) if travelers can remember all the travel time they have experienced, but which is not necessarily the case under limited memory; learning rate can strengthen the flow fluctuation, but memory leads to the contrary side; moreover, high learning rate results in the cyclical oscillation during the process of flow evolution.
Finally, both the scenarios of link capacity degradation and random link capacity are used to illustrate the model’s applications.
Analyses and applications of our model demonstrate the model is reasonable and useful for studying the day-to-day traffic dynamics.
American Psychological Association (APA)
Wei, Fangfang& Ma, Shoufeng& Jia, Ning. 2014. A Day-to-Day Route Choice Model Based on Reinforcement Learning. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-1044411
Modern Language Association (MLA)
Wei, Fangfang…[et al.]. A Day-to-Day Route Choice Model Based on Reinforcement Learning. Mathematical Problems in Engineering No. 2014 (2014), pp.1-19.
https://search.emarefa.net/detail/BIM-1044411
American Medical Association (AMA)
Wei, Fangfang& Ma, Shoufeng& Jia, Ning. A Day-to-Day Route Choice Model Based on Reinforcement Learning. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-1044411
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044411