Study of intersection traffic control based on agent

Zhao Guoyong; Cui Pingyuan; Yang Yuzhen; Chen Yangzhou; Zhao Xiaohua; Chen Dong

doi:10.1109/WCICA.2006.1713115

Study of intersection traffic control based on agent

Zhao Guoyong^*, Cui Pingyuan, Yang Yuzhen, Chen Yangzhou, Zhao Xiaohua, Chen Dong

^*Corresponding author for this work

Beijing University of Technology

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

Abstract

using reinforcement learning technology and combining with the structure of modular network, a new model of Agent controllable structure based on a intersection is proposed. On the basis of the idea of divide and rule methodology, the complex problem of traffic signal control is divided into local expert unit, which improves the efficiency of learning, and the integrated unite will coordinate the outputs of local expert unit, then a controllable signal of the whole system will be gained. Combined it with phase selected unit, the task of traffic signal control is achieved together. Finally, the effectiveness and reliability of the approach is fully proved by PARAMICS simulation.

Original language	English
Title of host publication	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Pages	3958-3962
Number of pages	5
DOIs	https://doi.org/10.1109/WCICA.2006.1713115
Publication status	Published - 2006
Externally published	Yes
Event	6th World Congress on Intelligent Control and Automation, WCICA 2006 - Dalian, China Duration: 21 Jun 2006 → 23 Jun 2006

Publication series

Name	Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
Volume	1

Conference

Conference	6th World Congress on Intelligent Control and Automation, WCICA 2006
Country/Territory	China
City	Dalian
Period	21/06/06 → 23/06/06

Keywords

Agent
Modular network
PARAMICS simulation
Reinforcement learning

Access to Document

10.1109/WCICA.2006.1713115

Cite this

Guoyong, Z., Pingyuan, C., Yuzhen, Y., Yangzhou, C., Xiaohua, Z., & Dong, C. (2006). Study of intersection traffic control based on agent. In Proceedings of the World Congress on Intelligent Control and Automation (WCICA) (pp. 3958-3962). Article 1713115 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 1). https://doi.org/10.1109/WCICA.2006.1713115

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title = "Study of intersection traffic control based on agent",

abstract = "using reinforcement learning technology and combining with the structure of modular network, a new model of Agent controllable structure based on a intersection is proposed. On the basis of the idea of divide and rule methodology, the complex problem of traffic signal control is divided into local expert unit, which improves the efficiency of learning, and the integrated unite will coordinate the outputs of local expert unit, then a controllable signal of the whole system will be gained. Combined it with phase selected unit, the task of traffic signal control is achieved together. Finally, the effectiveness and reliability of the approach is fully proved by PARAMICS simulation.",

keywords = "Agent, Modular network, PARAMICS simulation, Reinforcement learning",

author = "Zhao Guoyong and Cui Pingyuan and Yang Yuzhen and Chen Yangzhou and Zhao Xiaohua and Chen Dong",

year = "2006",

doi = "10.1109/WCICA.2006.1713115",

language = "English",

isbn = "1424403324",

series = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

pages = "3958--3962",

booktitle = "Proceedings of the World Congress on Intelligent Control and Automation (WCICA)",

note = "6th World Congress on Intelligent Control and Automation, WCICA 2006 ; Conference date: 21-06-2006 Through 23-06-2006",

}

Guoyong, Z, Pingyuan, C, Yuzhen, Y, Yangzhou, C, Xiaohua, Z & Dong, C 2006, Study of intersection traffic control based on agent. in Proceedings of the World Congress on Intelligent Control and Automation (WCICA)., 1713115, Proceedings of the World Congress on Intelligent Control and Automation (WCICA), vol. 1, pp. 3958-3962, 6th World Congress on Intelligent Control and Automation, WCICA 2006, Dalian, China, 21/06/06. https://doi.org/10.1109/WCICA.2006.1713115

Study of intersection traffic control based on agent. / Guoyong, Zhao; Pingyuan, Cui; Yuzhen, Yang et al.
Proceedings of the World Congress on Intelligent Control and Automation (WCICA). 2006. p. 3958-3962 1713115 (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); Vol. 1).

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

TY - GEN

T1 - Study of intersection traffic control based on agent

AU - Guoyong, Zhao

AU - Pingyuan, Cui

AU - Yuzhen, Yang

AU - Yangzhou, Chen

AU - Xiaohua, Zhao

AU - Dong, Chen

PY - 2006

Y1 - 2006

N2 - using reinforcement learning technology and combining with the structure of modular network, a new model of Agent controllable structure based on a intersection is proposed. On the basis of the idea of divide and rule methodology, the complex problem of traffic signal control is divided into local expert unit, which improves the efficiency of learning, and the integrated unite will coordinate the outputs of local expert unit, then a controllable signal of the whole system will be gained. Combined it with phase selected unit, the task of traffic signal control is achieved together. Finally, the effectiveness and reliability of the approach is fully proved by PARAMICS simulation.

AB - using reinforcement learning technology and combining with the structure of modular network, a new model of Agent controllable structure based on a intersection is proposed. On the basis of the idea of divide and rule methodology, the complex problem of traffic signal control is divided into local expert unit, which improves the efficiency of learning, and the integrated unite will coordinate the outputs of local expert unit, then a controllable signal of the whole system will be gained. Combined it with phase selected unit, the task of traffic signal control is achieved together. Finally, the effectiveness and reliability of the approach is fully proved by PARAMICS simulation.

KW - Agent

KW - Modular network

KW - PARAMICS simulation

KW - Reinforcement learning

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DO - 10.1109/WCICA.2006.1713115

M3 - Conference contribution

AN - SCOPUS:34047239211

SN - 1424403324

SN - 9781424403325

T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

SP - 3958

EP - 3962

BT - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

T2 - 6th World Congress on Intelligent Control and Automation, WCICA 2006

Y2 - 21 June 2006 through 23 June 2006

ER -

Study of intersection traffic control based on agent

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Keywords

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