Analysis and Design of Information Dynamics and Information Dissemination To Realize Optimal Management of Transportation
| Project/Area Number |
22500120
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Chiba University |
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Principal Investigator |
ARAI Sachiyo 千葉大学, 大学院・工学研究科, 准教授 (10372575)
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| Co-Investigator(Kenkyū-buntansha) |
YOSHIMURA Shinobu 東京大学, 大学院・工学系研究科, 教授 (90201053)
MARUYAMA Yoshihisa 千葉大学, 大学院・工学研究科, 准教授 (70397024)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2011: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2010: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
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| Keywords | 知的システムアーキテクチャ / マルチエージェント / 戦略的意思決定 / 強化学習 / 認知モデル / 複雑ネットワーク / リスク評価 / 安全システム |
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| Research Abstract |
We have been concerned with the desirable mode of information services to control the behavior of a transportation network system. The difficulty of this problem is that optimal traffic assignment is not always satisfied with minimal travel time of each driver. Consequently, this study is an attempt to ascertain how to reconcile these two conflicting viewpoints. Most previous studies emphasized the driver's decision making processes to resolve this paradox. We specifically examined the information services side to make traffic flow desirable. First, we adopt a reinforcement learning framework to acquire a strategy for solving the paradox. Secondly, we show the criteria of information distribution to realize a desirable traffic flow through some experimentation.
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Report
(4 results)
Research Products
(84 results)
