Traffic signal control of multi-forked road

Chengyou Cui; Mizuki Takamura; Heehyol Lee

Traffic signal control of multi-forked road

Chengyou Cui^*, Mizuki Takamura, Heehyol Lee

^*Corresponding author for this work

Graduate School of Information, Production and Systems

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

Abstract

The traffic jam has become more serious at the multi-forked road intersection, and the conventional pre-timed control is less efficiencies to the congestion problem. In this paper, the new traffic signal control system for multi-forked road is proposed. Firstly, the cellular automaton (CA) model is used to develop a traffic simulator for multi-forked road. Next, the stochastic model of traffic jam is built up. In addition, new traffic signal control algorithm is designed using the optimization technique, Genetic Algorithm (GA). Finally, the effectiveness of the proposed method is shown using the actual traffic data with traffic simulator.

Original language	English
Title of host publication	Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11
Pages	503-506
Number of pages	4
Publication status	Published - 2011 Dec 1
Event	16th International Symposium on Artificial Life and Robotics, AROB '11 - Beppu, Oita, Japan Duration: 2011 Jan 27 → 2011 Jan 29

Publication series

Name	Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11

Conference

Conference	16th International Symposium on Artificial Life and Robotics, AROB '11
Country/Territory	Japan
City	Beppu, Oita
Period	11/1/27 → 11/1/29

Keywords

Bayesian Network
Cellular automaton
Genetic algorithm
Multi-Forked
Traffic signal control
Urban micro traffic simulator

ASJC Scopus subject areas

Artificial Intelligence
Computer Vision and Pattern Recognition
Human-Computer Interaction

Cite this

Traffic signal control of multi-forked road. / Cui, Chengyou; Takamura, Mizuki; Lee, Heehyol.
Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11. 2011. p. 503-506 (Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11).

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

Cui, C, Takamura, M & Lee, H 2011, Traffic signal control of multi-forked road. in Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11. Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11, pp. 503-506, 16th International Symposium on Artificial Life and Robotics, AROB '11, Beppu, Oita, Japan, 11/1/27.

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title = "Traffic signal control of multi-forked road",

abstract = "The traffic jam has become more serious at the multi-forked road intersection, and the conventional pre-timed control is less efficiencies to the congestion problem. In this paper, the new traffic signal control system for multi-forked road is proposed. Firstly, the cellular automaton (CA) model is used to develop a traffic simulator for multi-forked road. Next, the stochastic model of traffic jam is built up. In addition, new traffic signal control algorithm is designed using the optimization technique, Genetic Algorithm (GA). Finally, the effectiveness of the proposed method is shown using the actual traffic data with traffic simulator.",

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N2 - The traffic jam has become more serious at the multi-forked road intersection, and the conventional pre-timed control is less efficiencies to the congestion problem. In this paper, the new traffic signal control system for multi-forked road is proposed. Firstly, the cellular automaton (CA) model is used to develop a traffic simulator for multi-forked road. Next, the stochastic model of traffic jam is built up. In addition, new traffic signal control algorithm is designed using the optimization technique, Genetic Algorithm (GA). Finally, the effectiveness of the proposed method is shown using the actual traffic data with traffic simulator.

AB - The traffic jam has become more serious at the multi-forked road intersection, and the conventional pre-timed control is less efficiencies to the congestion problem. In this paper, the new traffic signal control system for multi-forked road is proposed. Firstly, the cellular automaton (CA) model is used to develop a traffic simulator for multi-forked road. Next, the stochastic model of traffic jam is built up. In addition, new traffic signal control algorithm is designed using the optimization technique, Genetic Algorithm (GA). Finally, the effectiveness of the proposed method is shown using the actual traffic data with traffic simulator.

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KW - Cellular automaton

KW - Genetic algorithm

KW - Multi-Forked

KW - Traffic signal control

KW - Urban micro traffic simulator

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BT - Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11

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Traffic signal control of multi-forked road

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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