Clique-Based Traffic Control Strategy Using Vehicle-To-Vehicle Communication

Lauren M. Gee; Mark Reynolds

doi:10.1007/978-3-030-29911-8_41

Clique-Based Traffic Control Strategy Using Vehicle-To-Vehicle Communication

Research output: Chapter in Book/Conference paper › Conference paper

Abstract

Vehicular communication systems can be used to create more efficient traffic control systems at road intersections. This paper presents a new clique-based traffic control strategy, which uses communication between vehicles to control the flow of traffic through an intersection. A traffic simulation is used to compare the proposed strategy with existing strategies, including traditional traffic lights, and virtual traffic lights. The results show that the proposed traffic control strategy creates very efficient traffic flow, outperforming both of the existing strategies.

Original language	English
Title of host publication	PRICAI 2019
Subtitle of host publication	Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings
Editors	Abhaya C. Nayak, Alok Sharma
Place of Publication	Netherlands
Publisher	Springer-Verlag Berlin
Pages	534-538
Number of pages	5
Volume	Part 2
ISBN (Print)	9783030299101
DOIs	https://doi.org/10.1007/978-3-030-29911-8_41
Publication status	Published - 1 Jan 2019
Event	16th Pacific Rim International Conference on Artificial Intelligence - Yanuka Island, Fiji Duration: 26 Aug 2019 → 30 Aug 2019 http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=83421&copyownerid=13149

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11671 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th Pacific Rim International Conference on Artificial Intelligence
Abbreviated title	PRICAI 2019
Country	Fiji
City	Yanuka Island
Period	26/08/19 → 30/08/19
Other	The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is an international event which concentrates on theories, technologies and applications of Artificial Intelligence (AI) in the areas of social and economic importance for countries in the Asia Pacific region. The 16th PRICAI (2019) will be held at Yanuca Island, Cuvu, Fiji. The Program Committee invites technical papers on substantial, original, and unpublished research in all aspects of Artificial Intelligence. PRICAI-2019 aims to bring together scholars, practitioners, educators and users from the diverse field of AI.
Internet address	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=83421&copyownerid=13149

Access to Document

10.1007/978-3-030-29911-8_41

Link to publication in Scopus

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Cite this

Gee, L. M., & Reynolds, M. (2019). Clique-Based Traffic Control Strategy Using Vehicle-To-Vehicle Communication. In A. C. Nayak, & A. Sharma (Eds.), PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings (Vol. Part 2, pp. 534-538). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11671 LNAI). Springer-Verlag Berlin. https://doi.org/10.1007/978-3-030-29911-8_41

Gee, Lauren M. ; Reynolds, Mark. / Clique-Based Traffic Control Strategy Using Vehicle-To-Vehicle Communication. PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings. editor / Abhaya C. Nayak ; Alok Sharma. Vol. Part 2 Netherlands : Springer-Verlag Berlin, 2019. pp. 534-538 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Clique-Based Traffic Control Strategy Using Vehicle-To-Vehicle Communication",

abstract = "Vehicular communication systems can be used to create more efficient traffic control systems at road intersections. This paper presents a new clique-based traffic control strategy, which uses communication between vehicles to control the flow of traffic through an intersection. A traffic simulation is used to compare the proposed strategy with existing strategies, including traditional traffic lights, and virtual traffic lights. The results show that the proposed traffic control strategy creates very efficient traffic flow, outperforming both of the existing strategies.",

keywords = "Agent-based modelling, Autonomous vehicle, Smart transportation system, Virtual traffic lights",

author = "Gee, {Lauren M.} and Mark Reynolds",

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note = "16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019 ; Conference date: 26-08-2019 Through 30-08-2019",

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Gee, LM & Reynolds, M 2019, Clique-Based Traffic Control Strategy Using Vehicle-To-Vehicle Communication. in AC Nayak & A Sharma (eds), PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings. vol. Part 2, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11671 LNAI, Springer-Verlag Berlin, Netherlands, pp. 534-538, 16th Pacific Rim International Conference on Artificial Intelligence, Yanuka Island, Fiji, 26/08/19. https://doi.org/10.1007/978-3-030-29911-8_41

Clique-Based Traffic Control Strategy Using Vehicle-To-Vehicle Communication. / Gee, Lauren M.; Reynolds, Mark.

PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings. ed. / Abhaya C. Nayak; Alok Sharma. Vol. Part 2 Netherlands : Springer-Verlag Berlin, 2019. p. 534-538 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11671 LNAI).

Research output: Chapter in Book/Conference paper › Conference paper

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AU - Gee, Lauren M.

AU - Reynolds, Mark

PY - 2019/1/1

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N2 - Vehicular communication systems can be used to create more efficient traffic control systems at road intersections. This paper presents a new clique-based traffic control strategy, which uses communication between vehicles to control the flow of traffic through an intersection. A traffic simulation is used to compare the proposed strategy with existing strategies, including traditional traffic lights, and virtual traffic lights. The results show that the proposed traffic control strategy creates very efficient traffic flow, outperforming both of the existing strategies.

AB - Vehicular communication systems can be used to create more efficient traffic control systems at road intersections. This paper presents a new clique-based traffic control strategy, which uses communication between vehicles to control the flow of traffic through an intersection. A traffic simulation is used to compare the proposed strategy with existing strategies, including traditional traffic lights, and virtual traffic lights. The results show that the proposed traffic control strategy creates very efficient traffic flow, outperforming both of the existing strategies.

KW - Agent-based modelling

KW - Autonomous vehicle

KW - Smart transportation system

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Gee LM, Reynolds M. Clique-Based Traffic Control Strategy Using Vehicle-To-Vehicle Communication. In Nayak AC, Sharma A, editors, PRICAI 2019: Trends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings. Vol. Part 2. Netherlands: Springer-Verlag Berlin. 2019. p. 534-538. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-29911-8_41