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

Lauren M. Gee, Mark Reynolds

Research output: Chapter in Book/Conference paperConference 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 languageEnglish
Title of host publicationPRICAI 2019
Subtitle of host publicationTrends in Artificial Intelligence - 16th Pacific Rim International Conference on Artificial Intelligence, Proceedings
EditorsAbhaya C. Nayak, Alok Sharma
PublisherSpringer-Verlag Berlin
Pages534-538
Number of pages5
ISBN (Print)9783030299101
DOIs
Publication statusPublished - 1 Jan 2019
Event16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019 - Yanuka Island, Fiji
Duration: 26 Aug 201930 Aug 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11671 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019
CountryFiji
CityYanuka Island
Period26/08/1930/08/19

Fingerprint

Vehicle to vehicle communications
Traffic Control
Traffic control
Clique
Control Strategy
Traffic
Telecommunication traffic
Intersection
Vehicular Communications
Traffic Simulation
Traffic Flow
Communication Systems
Communication systems
Control System
Control systems
Communication
Strategy

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 (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. Springer-Verlag Berlin, 2019. pp. 534-538 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{428bb6b909b14172a20d59b55be56330,
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",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-29911-8_41",
language = "English",
isbn = "9783030299101",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag Berlin",
pages = "534--538",
editor = "Nayak, {Abhaya C.} and Alok Sharma",
booktitle = "PRICAI 2019",

}

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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11671 LNAI, Springer-Verlag Berlin, pp. 534-538, 16th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2019, 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. 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 paperConference paper

TY - GEN

T1 - Clique-Based Traffic Control Strategy Using Vehicle-To-Vehicle Communication

AU - Gee, Lauren M.

AU - Reynolds, Mark

PY - 2019/1/1

Y1 - 2019/1/1

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

KW - Virtual traffic lights

UR - http://www.scopus.com/inward/record.url?scp=85072851197&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-29911-8_41

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

M3 - Conference paper

SN - 9783030299101

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

SP - 534

EP - 538

BT - PRICAI 2019

A2 - Nayak, Abhaya C.

A2 - Sharma, Alok

PB - Springer-Verlag Berlin

ER -

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. 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