Highway Traffic Modeling and Decision Making for Autonomous Vehicle Using Reinforcement Learning
| Autor: | Changxi You, Jianbo Lu, Dimitar Petrov Filev, Panagiotis Tsiotras |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Operations research Computer science media_common.quotation_subject 05 social sciences Markov process 010501 environmental sciences 01 natural sciences symbols.namesake 0502 economics and business symbols Reinforcement learning Markov decision process Function (engineering) 0105 earth and related environmental sciences media_common |
| Zdroj: | Intelligent Vehicles Symposium |
| DOI: | 10.1109/ivs.2018.8500675 |
| Popis: | This paper studies the decision making problem of autonomous vehicles in traffic. We model the interaction between an autonomous vehicle and the environment as a stochastic Markov decision process (MDP) and consider the driving style of an experienced driver as the target to be learned. The road geometry is taken into consideration in the MDP model in order to incorporate more diverse driving styles. By designing the reward function of the MDP, the desired, driving behavior of the autonomous vehicle is obtained using reinforcement learning. Simulated results demonstrate the desired driving behaviors of an autonomous vehicle. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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