User Equilibrium and System Optimum with Incomplete Information In Traffic Congestion

Qiang Zhang; Shi Qiang Liu; Mahmoud Masoud

doi:10.1109/IESM45758.2019.8948158

User Equilibrium and System Optimum with Incomplete Information In Traffic Congestion

Qiang Zhang, Shi Qiang Liu, Mahmoud Masoud

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

By providing more information about traffic network, such as more feasible paths via intelligent navigation systems (INS), users in the network may change their choices of the path from a source to a destination. This paper investigates a traffic congestion model with incomplete information, in which different users have different information about the network. We introduce the notions of user equilibrium of incomplete information (UEII) and system optimum of incomplete information (SOII). Then, we prove a theorem about the effect of the change of traffic amount on each couple paths in SOII for the model. Finally, based on this theorem and a property of UEII, we reveal a relationship between UEII and SOII on the cost function.

Original language	English
Title of host publication	Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019
Editors	Feifeng Zheng, Feng Chu, Ming Liu
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728115665
DOIs	https://doi.org/10.1109/IESM45758.2019.8948158
State	Published - Sep 2019
Externally published	Yes
Event	2019 International Conference on Industrial Engineering and Systems Management, IESM 2019 - Shanghai, China Duration: 25 Sep 2019 → 27 Sep 2019

Publication series

Name	Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019

Conference

Conference	2019 International Conference on Industrial Engineering and Systems Management, IESM 2019
Country/Territory	China
City	Shanghai
Period	25/09/19 → 27/09/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

incomplete information
system optimum
traffic network
user equilibrium

ASJC Scopus subject areas

Strategy and Management
Artificial Intelligence
Information Systems and Management
Management Science and Operations Research
Industrial and Manufacturing Engineering

Access to Document

10.1109/IESM45758.2019.8948158

Cite this

Zhang, Q., Liu, S. Q., & Masoud, M. (2019). User Equilibrium and System Optimum with Incomplete Information In Traffic Congestion. In F. Zheng, F. Chu, & M. Liu (Eds.), Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019 Article 8948158 (Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IESM45758.2019.8948158

Zhang, Qiang ; Liu, Shi Qiang ; Masoud, Mahmoud. / User Equilibrium and System Optimum with Incomplete Information In Traffic Congestion. Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019. editor / Feifeng Zheng ; Feng Chu ; Ming Liu. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019).

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title = "User Equilibrium and System Optimum with Incomplete Information In Traffic Congestion",

abstract = "By providing more information about traffic network, such as more feasible paths via intelligent navigation systems (INS), users in the network may change their choices of the path from a source to a destination. This paper investigates a traffic congestion model with incomplete information, in which different users have different information about the network. We introduce the notions of user equilibrium of incomplete information (UEII) and system optimum of incomplete information (SOII). Then, we prove a theorem about the effect of the change of traffic amount on each couple paths in SOII for the model. Finally, based on this theorem and a property of UEII, we reveal a relationship between UEII and SOII on the cost function.",

keywords = "incomplete information, system optimum, traffic network, user equilibrium",

author = "Qiang Zhang and Liu, \{Shi Qiang\} and Mahmoud Masoud",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019 ; Conference date: 25-09-2019 Through 27-09-2019",

year = "2019",

month = sep,

doi = "10.1109/IESM45758.2019.8948158",

language = "English",

series = "Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Zhang, Q, Liu, SQ & Masoud, M 2019, User Equilibrium and System Optimum with Incomplete Information In Traffic Congestion. in F Zheng, F Chu & M Liu (eds), Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019., 8948158, Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019, Institute of Electrical and Electronics Engineers Inc., 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019, Shanghai, China, 25/09/19. https://doi.org/10.1109/IESM45758.2019.8948158

User Equilibrium and System Optimum with Incomplete Information In Traffic Congestion. / Zhang, Qiang; Liu, Shi Qiang; Masoud, Mahmoud.
Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019. ed. / Feifeng Zheng; Feng Chu; Ming Liu. Institute of Electrical and Electronics Engineers Inc., 2019. 8948158 (Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - By providing more information about traffic network, such as more feasible paths via intelligent navigation systems (INS), users in the network may change their choices of the path from a source to a destination. This paper investigates a traffic congestion model with incomplete information, in which different users have different information about the network. We introduce the notions of user equilibrium of incomplete information (UEII) and system optimum of incomplete information (SOII). Then, we prove a theorem about the effect of the change of traffic amount on each couple paths in SOII for the model. Finally, based on this theorem and a property of UEII, we reveal a relationship between UEII and SOII on the cost function.

AB - By providing more information about traffic network, such as more feasible paths via intelligent navigation systems (INS), users in the network may change their choices of the path from a source to a destination. This paper investigates a traffic congestion model with incomplete information, in which different users have different information about the network. We introduce the notions of user equilibrium of incomplete information (UEII) and system optimum of incomplete information (SOII). Then, we prove a theorem about the effect of the change of traffic amount on each couple paths in SOII for the model. Finally, based on this theorem and a property of UEII, we reveal a relationship between UEII and SOII on the cost function.

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KW - system optimum

KW - traffic network

KW - user equilibrium

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DO - 10.1109/IESM45758.2019.8948158

M3 - Conference contribution

AN - SCOPUS:85078770467

T3 - Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019

BT - Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019

A2 - Zheng, Feifeng

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PB - Institute of Electrical and Electronics Engineers Inc.

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Zhang Q, Liu SQ, Masoud M. User Equilibrium and System Optimum with Incomplete Information In Traffic Congestion. In Zheng F, Chu F, Liu M, editors, Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8948158. (Proceedings of the 2019 International Conference on Industrial Engineering and Systems Management, IESM 2019). doi: 10.1109/IESM45758.2019.8948158

User Equilibrium and System Optimum with Incomplete Information In Traffic Congestion

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this