Browsing by Subject "Automobiles"
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Item Restricted Dünyamızı batılılaştıran semboller(1995) Ay, TanerItem Restricted Dünyamızı batılılaştıran semboller(1995) Ay, TanerItem Restricted Dünyamızı batılılaştıran semboller; Citroen(1995) Ay, TanerItem Restricted Fenomenoloji; Dünyamızı batılılaştıran semboller; Peugeot(1996) Ay, TanerItem Open Access A game theoretical model of traffic with multiple interacting drivers for use in autonomous vehicle development(IEEE, 2016) Oyler, D. W.; Yıldız, Yıldıray; Girard, A. R.; Li, N. I.; Kolmanovsky, İ. V.This paper describes a game theoretical model of traffic where multiple drivers interact with each other. The model is developed using hierarchical reasoning, a game theoretical model of human behavior, and reinforcement learning. It is assumed that the drivers can observe only a partial state of the traffic they are in and therefore although the environment satisfies the Markov property, it appears as non-Markovian to the drivers. Hence, each driver implicitly has to find a policy, i.e. a mapping from observations to actions, for a Partially Observable Markov Decision Process. In this paper, a computationally tractable solution to this problem is provided by employing hierarchical reasoning together with a suitable reinforcement learning algorithm. Simulation results are reported, which demonstrate that the resulting driver models provide reasonable behavior for the given traffic scenarios.Item Open Access Hierarchical reasoning game theory based approach for evaluation and testing of autonomous vehicle control systems(IEEE, 2016) Li, N.; Oyler, D.; Zhang, M.; Yıldız, Yıldıray; Girard, A.; Kolmanovsky, İ.A hierarchical game theoretic decision making framework is exploited to model driver decisions and interactions in traffic. In this paper, we apply this framework to develop a simulator to evaluate various existing autonomous driving algorithms. Specifically, two algorithms, based on Stackelberg policies and decision trees, are quantitatively compared in a traffic scenario where all the human-driven vehicles are modeled using the presented game theoretic approach.