主催: The Institute of Systems, Control and Information Engineers
会議名: 2018 国際フレキシブル・オートメーション・シンポジウム
開催地: Kanazawa Chamber of Commerce and Industry, Kanazawa Japan
開催日: 2018/07/15 - 2018/07/19
p. 165-170
In flexible manufacturing systems, the importance of automated guided vehicles is increasing because they can respond flexibly to changes in facilities and factory layouts. We propose an autonomous conveyance system for automated guided vehicles based on the operation of a taxi transportation system to solve indefinite and accidental problems. The system focuses on applying traffic engineering knowledge regarding a flexible taxi transportation system. A taxi is a transport unit in a traffic system involving high flexibility in traveling routes and at arrival/departure points. In this report, we suggest quantifying a driving course shape using a network Voronoi diagram. As a result, by using the weighted network Voronoi diagram and the coefficient of variation CV, a correlation is obtained between the variation coefficient CV and the average matching time Ta, and an appropriate path can be arranged to determine the course shape.
