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Jun.1998 運輸交通情報のデータベース化とその高度利用
客員研究員   厳 網林 (工学博士/武蔵工業大学環境情報学部)
客員研究員補佐   古谷 知之 (東京大学大学院工学系研究科都市工学専攻博士課程)

A GIS Integrated Transportation Database and its Applications
Researcher: Assoc.Prof. Dr. Yan Wanglin



Handling transportation information from a spatial viewpoint, this study explored the method of developing transportation database with GIS. First of all, transportation information was classified into regional information, facilities information, operation information, and management information. Then its spatia1-temporal characteristics were systematically analyzed from the aspects of stock and flow. Based on the review of the state-of-the-art transportation databases over the world, the problems in transportation GIS construction was figured out as who should be the subject of the database development, which data should be included in the transportation database, what is the optimal data model, and how to maintain a large size database and keep it updated. The following research in this paper then focused on the creation of an object-oriented data model for trip data and the development of a prototype database system. A four-level object-oriented data model composed of the geographic level, the conceptual level, the applied level and the instance level was designed for a real description of trip data, which is the element of transportation information. With this data model, geometric and topologic data was stored in the geographic level, transportation data is in the conceptual , trip data is in the applied and real data record of a trip is finally in the instance. The data in the upper two levels corresponds to the stock data and that in the lower two level is to the traffic now data. Based on the above theoretical works a prototype database was introduced with the latest database and network technologies including a database engine and WWW interface. Using this database system, graphical map data and statistical transportation data could be rapidly retrieved and presented as tables, graphs, or maps. Finally the wide applicability of a spatial transportation database was shown with three applications including an animation of railway traffic profiles, a simulation of the dynamic change of traffic now on a multi-modal public transportation network, and an integration of the database with self-surveyed road traffic data.