著者

佐川 大介 佐川 雄二 杉江 昇

出版者

The Institute of Electrical Engineers of Japan

雑誌

電気学会論文誌. C, 電子・情報・システム部門誌 = The transactions of the Institute of Electrical Engineers of Japan. C, A publication of Electronics, Information and System Society (ISSN:03854221)

巻号頁・発行日

vol.124, no.3, pp.877-882, 2004-03-01

被引用文献数

1 1

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In this paper, we introduce a new model for driver's route selection. In the model, a driver can decide a route before driving but may change it dynamically while driving. To decide the route before driving, the driver can use a Q-value map that is a result of reinforcement learning from the road information. Experience of driving the route and information offered from outside (e. g. via car navigation system) can make a driver change the route while driving. From the result of evaluation experiments with a traffic data of real world, the traffic flow simulator with the model works in more than 90% accuracy. To show how the model can process information from outside, we carry simple experiment in which a navigation system tells a driver the fastest route in the course of driving. The simulator produce some reasonable result.