ドライバの行動決定モデルに基づく交通流シミュレーションに関する研究

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タイトル別名
  • Traffic Flow Simulation Based on Driver's Model of Decision Making
  • ドライバ ノ コウドウ ケッテイ モデル ニ モトヅク コウツウリュウ シミュレーション ニ カンスル ケンキュウ

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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.

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