Presentation | 2001/11/8 Multi Agent-based Traffic signal Control for the Decrease of Stop Conditions Tadanobu MISAWA, Tsuyoshi KODAKE, Haruhiko KIMURA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In modern society, traffic jams and accidents are increasing. One of the schemes of improvement is to control traffic signals. Multi-agent system is applied to traffic signal control problem in many studies. However, evoluational methods is different in each study. In this study, a evoluational method is the number of stop conditions. We think that the decrease of stop conditions will contribute not only to ease traffic jams but also to decrease of exhaust fumes. In this paper, we propose a multi-agent system which guess stop conditions and adapts environment by learning. We simulate this system and show the usefulness. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | traffic signal control / multi-agent system / reinforcement learning / cooperation |
Paper # | AI2001-33 |
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Committee | AI |
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Conference Date | 2001/11/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Multi Agent-based Traffic signal Control for the Decrease of Stop Conditions |
Sub Title (in English) | |
Keyword(1) | traffic signal control |
Keyword(2) | multi-agent system |
Keyword(3) | reinforcement learning |
Keyword(4) | cooperation |
1st Author's Name | Tadanobu MISAWA |
1st Author's Affiliation | Faculty of Engineering, Kanazawa University() |
2nd Author's Name | Tsuyoshi KODAKE |
2nd Author's Affiliation | Faculty of Engineering, Kanazawa University |
3rd Author's Name | Haruhiko KIMURA |
3rd Author's Affiliation | Faculty of Engineering, Kanazawa University |
Date | 2001/11/8 |
Paper # | AI2001-33 |
Volume (vol) | vol.101 |
Number (no) | 419 |
Page | pp.pp.- |
#Pages | 6 |
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