2017 Cilt 22 Sayı 2
Permanent URI for this collectionhttps://hdl.handle.net/11452/12031
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Browsing by Author "Bartın, Bekir Oğuz"
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Item Simulation of vehicles’ gap acceptance decisions using reinforcement learning(Uludağ Üniversitesi, 2017-08-01) Bartın, Bekir OğuzThis paper presents the use of reinforcement learning approach for modeling vehicles' gap acceptance decisions at a stop-controlled intersection. The proposed formulation translates a simple gap acceptance decision into a reinforcement learning problem, assuming that drivers' ultimate objective in a traffic network is to optimize wait-time and safety. Using an off-the-shelf simulation tool, drivers are simulated without any notion of the outcome of their decisions. From multiple episodes of gap acceptance decisions, they learn from the outcome of their actions, i.e., wait-time and safety. A real-world traffic circle simulation network developed in Paramics simulation software is used to conduct experimental analyses. The results show that drivers' gap acceptance behavior in microscopic traffic simulation models can easily be validated with a high level of accuracy using Q-learning reinforcement-learning algorithm.