A hybrid model of traffic assignment and control for autonomous vehicles

Jianglin Qiao; Dave De Jonge; Dongmo Zhang; Carles Sierra; Simeon Simoff

doi:10.1007/978-3-031-21203-1_13

A hybrid model of traffic assignment and control for autonomous vehicles

Jianglin Qiao, Dave De Jonge, Dongmo Zhang, Carles Sierra, Simeon Simoff

Western Sydney University

Research output: Chapter in Book / Conference Paper › Chapter

1 Citation (Scopus)

Abstract

This paper proposes a multi-agent based method to describe traffic control optimization for autonomous vehicle assignment problems on road networks. We first present a formal model for abstract road networks. We then extend the road network model into a game-theoretical model based on population games to describe the behavior of autonomous vehicles under intelligent traffic control. Based on this model, we investigate a traffic control optimization problem that aims to improve the efficiency of road networks and provides an algorithm to find an approximate solution. Lastly, our algorithm significantly reduces the total delay of the road network, as demonstrated by the results of our experiments with the Aimsun (https://www.aimsun.com) simulation software.

Original language	English
Title of host publication	PRIMA 2022: Principles and Practice of Multi-Agent Systems: 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings
Editors	Reyhan Aydoğan, Natalia Criado, Victor Sanchez-Anguix, Jérôme Lang, Marc Serramia
Place of Publication	Switzerland
Publisher	Springer
Pages	208-226
Number of pages	19
ISBN (Electronic)	9783031212031
ISBN (Print)	9783031212024
DOIs	https://doi.org/10.1007/978-3-031-21203-1_13
Publication status	Published - 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13753 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Intelligent traffic control
Multi-agent system
Transport and logistics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-21203-1_13

Cite this

Qiao, J., De Jonge, D., Zhang, D., Sierra, C., & Simoff, S. (2023). A hybrid model of traffic assignment and control for autonomous vehicles. In R. Aydoğan, N. Criado, V. Sanchez-Anguix, J. Lang, & M. Serramia (Eds.), PRIMA 2022: Principles and Practice of Multi-Agent Systems: 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings (pp. 208-226). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13753 LNAI). Springer. https://doi.org/10.1007/978-3-031-21203-1_13

Qiao, Jianglin ; De Jonge, Dave ; Zhang, Dongmo et al. / A hybrid model of traffic assignment and control for autonomous vehicles. PRIMA 2022: Principles and Practice of Multi-Agent Systems: 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings. editor / Reyhan Aydoğan ; Natalia Criado ; Victor Sanchez-Anguix ; Jérôme Lang ; Marc Serramia. Switzerland : Springer, 2023. pp. 208-226 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper proposes a multi-agent based method to describe traffic control optimization for autonomous vehicle assignment problems on road networks. We first present a formal model for abstract road networks. We then extend the road network model into a game-theoretical model based on population games to describe the behavior of autonomous vehicles under intelligent traffic control. Based on this model, we investigate a traffic control optimization problem that aims to improve the efficiency of road networks and provides an algorithm to find an approximate solution. Lastly, our algorithm significantly reduces the total delay of the road network, as demonstrated by the results of our experiments with the Aimsun (https://www.aimsun.com) simulation software.",

keywords = "Intelligent traffic control, Multi-agent system, Transport and logistics",

author = "Jianglin Qiao and {De Jonge}, Dave and Dongmo Zhang and Carles Sierra and Simeon Simoff",

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Qiao, J, De Jonge, D, Zhang, D, Sierra, C & Simoff, S 2023, A hybrid model of traffic assignment and control for autonomous vehicles. in R Aydoğan, N Criado, V Sanchez-Anguix, J Lang & M Serramia (eds), PRIMA 2022: Principles and Practice of Multi-Agent Systems: 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13753 LNAI, Springer, Switzerland, pp. 208-226. https://doi.org/10.1007/978-3-031-21203-1_13

A hybrid model of traffic assignment and control for autonomous vehicles. / Qiao, Jianglin; De Jonge, Dave; Zhang, Dongmo et al.
PRIMA 2022: Principles and Practice of Multi-Agent Systems: 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings. ed. / Reyhan Aydoğan; Natalia Criado; Victor Sanchez-Anguix; Jérôme Lang; Marc Serramia. Switzerland: Springer, 2023. p. 208-226 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13753 LNAI).

Research output: Chapter in Book / Conference Paper › Chapter

TY - CHAP

T1 - A hybrid model of traffic assignment and control for autonomous vehicles

AU - Qiao, Jianglin

AU - De Jonge, Dave

AU - Zhang, Dongmo

AU - Sierra, Carles

AU - Simoff, Simeon

PY - 2023

Y1 - 2023

N2 - This paper proposes a multi-agent based method to describe traffic control optimization for autonomous vehicle assignment problems on road networks. We first present a formal model for abstract road networks. We then extend the road network model into a game-theoretical model based on population games to describe the behavior of autonomous vehicles under intelligent traffic control. Based on this model, we investigate a traffic control optimization problem that aims to improve the efficiency of road networks and provides an algorithm to find an approximate solution. Lastly, our algorithm significantly reduces the total delay of the road network, as demonstrated by the results of our experiments with the Aimsun (https://www.aimsun.com) simulation software.

AB - This paper proposes a multi-agent based method to describe traffic control optimization for autonomous vehicle assignment problems on road networks. We first present a formal model for abstract road networks. We then extend the road network model into a game-theoretical model based on population games to describe the behavior of autonomous vehicles under intelligent traffic control. Based on this model, we investigate a traffic control optimization problem that aims to improve the efficiency of road networks and provides an algorithm to find an approximate solution. Lastly, our algorithm significantly reduces the total delay of the road network, as demonstrated by the results of our experiments with the Aimsun (https://www.aimsun.com) simulation software.

KW - Intelligent traffic control

KW - Multi-agent system

KW - Transport and logistics

UR - https://hdl.handle.net/1959.7/uws:69060

UR - http://www.scopus.com/inward/record.url?scp=85142751384&partnerID=8YFLogxK

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DO - 10.1007/978-3-031-21203-1_13

M3 - Chapter

SN - 9783031212024

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 208

EP - 226

BT - PRIMA 2022: Principles and Practice of Multi-Agent Systems: 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings

A2 - Aydoğan, Reyhan

A2 - Criado, Natalia

A2 - Sanchez-Anguix, Victor

A2 - Lang, Jérôme

A2 - Serramia, Marc

PB - Springer

CY - Switzerland

ER -

Qiao J, De Jonge D, Zhang D, Sierra C, Simoff S. A hybrid model of traffic assignment and control for autonomous vehicles. In Aydoğan R, Criado N, Sanchez-Anguix V, Lang J, Serramia M, editors, PRIMA 2022: Principles and Practice of Multi-Agent Systems: 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings. Switzerland: Springer. 2023. p. 208-226. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-21203-1_13

A hybrid model of traffic assignment and control for autonomous vehicles

Abstract

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Bibliographical note

Keywords

UN SDGs

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