Presentation 2015-06-18
Method for Acquiring Driving Strategy to Generate Metastable Phase
Shota Ishikawa, Sachiyo Arai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper we introduce an intelligent vehicle in the traffic flow for the purpose of traffic flow stability. Recently, researchers note that the driving strategy toward preventing traffic jam occurring that the intelligent vehicles change own speed and gap through inter-vehicle communication. Therefore, we propose the way that can get driving strategy by reinforcement learning based on the blackboard architecture. At the result, proposed method gets driving strategy that can dissolve traffic jam.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) traffic jam / intelligent vehicle / multiagent simulation / reinforcement learning
Paper # AI2015-8
Date of Issue 2015-06-11 (AI)

Conference Information
Committee AI
Conference Date 2015/6/18(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
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Topics (in English)
Chair Toshiharu Sugawara(Waseda Univ.)
Vice Chair Tsunenori Mine(Kyushu Univ.) / Daisuke Katagami(Tokyo Polytechnic Univ.)
Secretary Tsunenori Mine(Kyoto Univ.) / Daisuke Katagami(Shizuoka Univ.)
Assistant Yuichi Sei(Univ. of Electro-Comm.)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Method for Acquiring Driving Strategy to Generate Metastable Phase
Sub Title (in English)
Keyword(1) traffic jam
Keyword(2) intelligent vehicle
Keyword(3) multiagent simulation
Keyword(4) reinforcement learning
1st Author's Name Shota Ishikawa
1st Author's Affiliation Chiba University(Chiba Univ.)
2nd Author's Name Sachiyo Arai
2nd Author's Affiliation Chiba University(Chiba Univ.)
Date 2015-06-18
Paper # AI2015-8
Volume (vol) vol.115
Number (no) AI-97
Page pp.pp.43-48(AI),
#Pages 6
Date of Issue 2015-06-11 (AI)