Dynamic traffic light control system based on process synchronization among connected vehicles

Khac Hoai Nam Bui; O. Joun Lee; Jason J. Jung; David Camacho

doi:10.1007/978-3-319-40114-0_9

Dynamic traffic light control system based on process synchronization among connected vehicles

Khac Hoai Nam Bui
, O. Joun Lee
, Jason J. Jung
, David Camacho

Department of Artificial Intelligence

Chung-Ang University
Universidad Autónoma de Madrid

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

14 Scopus citations

Abstract

Vehicular traffic is tremendously increasing around the world, especially in large urban areas. The resulting congestion has become a key issue and emerging research topic to transportation specialist and decision makers. In this study, inspired by recent advanced vehicle technologies, we take into account in improving traffic flow in real-time problem. In order to solve the problem, we propose a new approach to manage traffic flow at the intersection in real-time via controlling by traffic light scheduling. In particular, the proposed method is based on process synchronization theory and connected vehicle technology where each vehicle is able to communicate with others. The traffic deadlock is also taken into consideration in case of high traffic volume. The simulation shows the potential results comparing with the existing traffic management system.

Original language	English
Title of host publication	Ambient Intelligence -Software and Applications – 7th International Symposium on Ambient Intelligence, ISAmI 2016
Editors	Juan F. De Paz, Hyun Yoe, Gabriel Villarrubia, Paulo Novais, Helena Lindgren, Antonio Fernández-Caballero, Andres Jiménez Ramírez
Publisher	Springer Verlag
Pages	77-85
Number of pages	9
ISBN (Print)	9783319401133
DOIs	https://doi.org/10.1007/978-3-319-40114-0_9
State	Published - 2016
Event	7th International Symposium on Ambient Intelligence, ISAmI 2016 - Seville, Spain Duration: 1 Jun 2016 → 3 Jun 2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	476
ISSN (Print)	2194-5357

Conference

Conference	7th International Symposium on Ambient Intelligence, ISAmI 2016
Country/Territory	Spain
City	Seville
Period	1/06/16 → 3/06/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Connected vehicles
Intelligent transportation systems
Intersection management
Process synchronization
Real-time processing

Access to Document

10.1007/978-3-319-40114-0_9

Cite this

Bui, K. H. N., Lee, O. J., Jung, J. J., & Camacho, D. (2016). Dynamic traffic light control system based on process synchronization among connected vehicles. In J. F. De Paz, H. Yoe, G. Villarrubia, P. Novais, H. Lindgren, A. Fernández-Caballero, & A. J. Ramírez (Eds.), Ambient Intelligence -Software and Applications – 7th International Symposium on Ambient Intelligence, ISAmI 2016 (pp. 77-85). (Advances in Intelligent Systems and Computing; Vol. 476). Springer Verlag. https://doi.org/10.1007/978-3-319-40114-0_9

Bui, Khac Hoai Nam ; Lee, O. Joun ; Jung, Jason J. et al. / Dynamic traffic light control system based on process synchronization among connected vehicles. Ambient Intelligence -Software and Applications – 7th International Symposium on Ambient Intelligence, ISAmI 2016. editor / Juan F. De Paz ; Hyun Yoe ; Gabriel Villarrubia ; Paulo Novais ; Helena Lindgren ; Antonio Fernández-Caballero ; Andres Jiménez Ramírez. Springer Verlag, 2016. pp. 77-85 (Advances in Intelligent Systems and Computing).

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abstract = "Vehicular traffic is tremendously increasing around the world, especially in large urban areas. The resulting congestion has become a key issue and emerging research topic to transportation specialist and decision makers. In this study, inspired by recent advanced vehicle technologies, we take into account in improving traffic flow in real-time problem. In order to solve the problem, we propose a new approach to manage traffic flow at the intersection in real-time via controlling by traffic light scheduling. In particular, the proposed method is based on process synchronization theory and connected vehicle technology where each vehicle is able to communicate with others. The traffic deadlock is also taken into consideration in case of high traffic volume. The simulation shows the potential results comparing with the existing traffic management system.",

keywords = "Connected vehicles, Intelligent transportation systems, Intersection management, Process synchronization, Real-time processing",

author = "Bui, \{Khac Hoai Nam\} and Lee, \{O. Joun\} and Jung, \{Jason J.\} and David Camacho",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 7th International Symposium on Ambient Intelligence, ISAmI 2016 ; Conference date: 01-06-2016 Through 03-06-2016",

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doi = "10.1007/978-3-319-40114-0\_9",

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Bui, KHN, Lee, OJ, Jung, JJ & Camacho, D 2016, Dynamic traffic light control system based on process synchronization among connected vehicles. in JF De Paz, H Yoe, G Villarrubia, P Novais, H Lindgren, A Fernández-Caballero & AJ Ramírez (eds), Ambient Intelligence -Software and Applications – 7th International Symposium on Ambient Intelligence, ISAmI 2016. Advances in Intelligent Systems and Computing, vol. 476, Springer Verlag, pp. 77-85, 7th International Symposium on Ambient Intelligence, ISAmI 2016, Seville, Spain, 1/06/16. https://doi.org/10.1007/978-3-319-40114-0_9

Dynamic traffic light control system based on process synchronization among connected vehicles. / Bui, Khac Hoai Nam; Lee, O. Joun; Jung, Jason J. et al.
Ambient Intelligence -Software and Applications – 7th International Symposium on Ambient Intelligence, ISAmI 2016. ed. / Juan F. De Paz; Hyun Yoe; Gabriel Villarrubia; Paulo Novais; Helena Lindgren; Antonio Fernández-Caballero; Andres Jiménez Ramírez. Springer Verlag, 2016. p. 77-85 (Advances in Intelligent Systems and Computing; Vol. 476).

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

TY - GEN

T1 - Dynamic traffic light control system based on process synchronization among connected vehicles

AU - Bui, Khac Hoai Nam

AU - Lee, O. Joun

AU - Jung, Jason J.

AU - Camacho, David

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - Vehicular traffic is tremendously increasing around the world, especially in large urban areas. The resulting congestion has become a key issue and emerging research topic to transportation specialist and decision makers. In this study, inspired by recent advanced vehicle technologies, we take into account in improving traffic flow in real-time problem. In order to solve the problem, we propose a new approach to manage traffic flow at the intersection in real-time via controlling by traffic light scheduling. In particular, the proposed method is based on process synchronization theory and connected vehicle technology where each vehicle is able to communicate with others. The traffic deadlock is also taken into consideration in case of high traffic volume. The simulation shows the potential results comparing with the existing traffic management system.

AB - Vehicular traffic is tremendously increasing around the world, especially in large urban areas. The resulting congestion has become a key issue and emerging research topic to transportation specialist and decision makers. In this study, inspired by recent advanced vehicle technologies, we take into account in improving traffic flow in real-time problem. In order to solve the problem, we propose a new approach to manage traffic flow at the intersection in real-time via controlling by traffic light scheduling. In particular, the proposed method is based on process synchronization theory and connected vehicle technology where each vehicle is able to communicate with others. The traffic deadlock is also taken into consideration in case of high traffic volume. The simulation shows the potential results comparing with the existing traffic management system.

KW - Connected vehicles

KW - Intelligent transportation systems

KW - Intersection management

KW - Process synchronization

KW - Real-time processing

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M3 - Conference contribution

AN - SCOPUS:84976492453

SN - 9783319401133

T3 - Advances in Intelligent Systems and Computing

SP - 77

EP - 85

BT - Ambient Intelligence -Software and Applications – 7th International Symposium on Ambient Intelligence, ISAmI 2016

A2 - De Paz, Juan F.

A2 - Yoe, Hyun

A2 - Villarrubia, Gabriel

A2 - Novais, Paulo

A2 - Lindgren, Helena

A2 - Fernández-Caballero, Antonio

A2 - Ramírez, Andres Jiménez

PB - Springer Verlag

T2 - 7th International Symposium on Ambient Intelligence, ISAmI 2016

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ER -

Bui KHN, Lee OJ, Jung JJ, Camacho D. Dynamic traffic light control system based on process synchronization among connected vehicles. In De Paz JF, Yoe H, Villarrubia G, Novais P, Lindgren H, Fernández-Caballero A, Ramírez AJ, editors, Ambient Intelligence -Software and Applications – 7th International Symposium on Ambient Intelligence, ISAmI 2016. Springer Verlag. 2016. p. 77-85. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-40114-0_9

Dynamic traffic light control system based on process synchronization among connected vehicles

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

Access to Document

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