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

Civil Engineering

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