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A Subjective Optimal Strategy for Transit Simulation Models
Joint Authors
Comi, Antonio
Nuzzolo, Agostino
Source
Journal of Advanced Transportation
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-09-16
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
A behavioural modelling framework with a dynamic travel strategy path choice approach is presented for unreliable multiservice transit networks.
The modelling framework is especially suitable for dynamic run-oriented simulation models that use subjective strategy-based path choice models.
After an analysis of the travel strategy approach in unreliable transit networks with the related hyperpaths, the search for the optimal strategy as a Markov decision problem solution is considered.
The new modelling framework is then presented and applied to a real network.
The paper concludes with an overview of the benefits of the new behavioural framework and outlines scope for further research.
American Psychological Association (APA)
Nuzzolo, Agostino& Comi, Antonio. 2018. A Subjective Optimal Strategy for Transit Simulation Models. Journal of Advanced Transportation،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1181798
Modern Language Association (MLA)
Nuzzolo, Agostino& Comi, Antonio. A Subjective Optimal Strategy for Transit Simulation Models. Journal of Advanced Transportation No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1181798
American Medical Association (AMA)
Nuzzolo, Agostino& Comi, Antonio. A Subjective Optimal Strategy for Transit Simulation Models. Journal of Advanced Transportation. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1181798
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1181798