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

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 Aydogan, Natalia Criado, Jerome Lang, Victor Sanchez-Angix, 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

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

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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. Aydogan, N. Criado, J. Lang, V. Sanchez-Angix, & 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). 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 Aydogan ; Natalia Criado ; Jerome Lang ; Victor Sanchez-Angix ; Marc Serramia. Switzerland : Springer, 2023. pp. 208-226

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title = "A hybrid model of traffic assignment and control for autonomous vehicles",

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.",

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

year = "2023",

doi = "10.1007/978-3-031-21203-1_13",

language = "English",

isbn = "9783031212024",

pages = "208--226",

editor = "Reyhan Aydogan and Natalia Criado and Jerome Lang and Victor Sanchez-Angix and Marc Serramia",

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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 Aydogan, N Criado, J Lang, V Sanchez-Angix & M Serramia (eds), PRIMA 2022: Principles and Practice of Multi-Agent Systems: 24th International Conference, Valencia, Spain, November 16-18, 2022, Proceedings. 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 Aydogan; Natalia Criado; Jerome Lang; Victor Sanchez-Angix; Marc Serramia. Switzerland: Springer, 2023. p. 208-226.

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.

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

U2 - 10.1007/978-3-031-21203-1_13

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

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EP - 226

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

A2 - Aydogan, Reyhan

A2 - Criado, Natalia

A2 - Lang, Jerome

A2 - Sanchez-Angix, Victor

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 Aydogan R, Criado N, Lang J, Sanchez-Angix V, 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 doi: 10.1007/978-3-031-21203-1_13

A hybrid model of traffic assignment and control for autonomous vehicles

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