Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Intelligent Transportation System using Q-Learning

Q-Learning을 ol용한 Intelligent Transportation System

  • 박명수 (서울대학교 전기컴퓨터공학부 지능연산제어연구실) ;
  • 김표재 (서울대학교 전기컴퓨터공학부 지능연산제어연구실) ;
  • 최진영 (서울대학교 전기컴퓨터공학부 지능연산제어연구실)
  • Published : 2003.07.01
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Abstract

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.0-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.

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