Presentation 2003/9/9
Architecture of Spatial Data Warehouse for Traffic Management
Hiroyuki KAWANO, Eiji HATO,
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Abstract(in English) Recently, huge volume of spatial and geographic data are stored into the database systems by using GIS technologies and various location services. Based on the long term observation of person trip data, we can derive patterns of person trip data and discover trends of actions by executing spatial mining queries effectively. In order to improve the quality of traffic management, traffic planning, marketing and so on, we outline the architecture of spatial data warehouses for traffic data analysis. Firstly, we discuss some fundamental problems in order to achieve a data warehouse for person trip data analysis. From the view point of traffic engineering, we introduce our proposed route estimation method and advanced spatial queries based on the techniques of temporal spatial indices. Secondly, in order to analyze the characteristics of person trip sequences, we propose the OLAP (On-Line Analytical Processing) oriented spatial temporal data model. Our Σ-tree data structure is based on the techniques of data cube and 3DR-tree index. Finally, we evaluate the performance of our proposed architectures and temporal spatial data model by observing actual positioning data, which is collected by location service in Japan.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Traffic Planning / Temporal Spatial Data / Spatial Information Model / Location Service
Paper # AI2003-57
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Conference Information
Committee AI
Conference Date 2003/9/9(1days)
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Paper Information
Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Architecture of Spatial Data Warehouse for Traffic Management
Sub Title (in English)
Keyword(1) Traffic Planning
Keyword(2) Temporal Spatial Data
Keyword(3) Spatial Information Model
Keyword(4) Location Service
1st Author's Name Hiroyuki KAWANO
1st Author's Affiliation Department of Systems Science, Graduate School of Informatics, Kyoto University()
2nd Author's Name Eiji HATO
2nd Author's Affiliation Urban Environmental Engineering, Faculty of Engineering, Ehime University
Date 2003/9/9
Paper # AI2003-57
Volume (vol) vol.103
Number (no) 306
Page pp.pp.-
#Pages 6
Date of Issue