Intelligent transportation system using Q-learning

In this paper, we propose new method, which can provide user the path to the target place efficiently. It stores the state of roads to target place as the form of Q-table and finds the proper path using Q-table is updated by the information about real traffic, which is reported by users. This method can provides the proper path, using less storage and less computation time than the conventional method, which stores entire road traffic information and finds the path by graph search algorithm.