An Indexing Structure and Application Model for Vehicles Moving on Road Networks

Moving objects database systems are the most challenging sub-category among Spatio-Temporal database systems. A database system that updates in real-time the location information of GPS-equipped moving vehicles has to meet even stricter requirements. Currently existing data storage models and indexi...

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Main Author: Ye, Xiangyu
Format: Others
Published: FIU Digital Commons 2004
Subjects:
Online Access:http://digitalcommons.fiu.edu/etd/26
http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=1060&context=etd
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spelling ndltd-fiu.edu-oai-digitalcommons.fiu.edu-etd-10602018-01-05T15:31:38Z An Indexing Structure and Application Model for Vehicles Moving on Road Networks Ye, Xiangyu Moving objects database systems are the most challenging sub-category among Spatio-Temporal database systems. A database system that updates in real-time the location information of GPS-equipped moving vehicles has to meet even stricter requirements. Currently existing data storage models and indexing mechanisms work well only when the number of moving objects in the system is relatively small. This dissertation research aimed at the real-time tracking and history retrieval of massive numbers of vehicles moving on road networks. A total solution has been provided for the real-time update of the vehicles’ location and motion information, range queries on current and history data, and prediction of vehicles’ movement in the near future. To achieve these goals, a new approach called Segmented Time Associated to Partitioned Space (STAPS) was first proposed in this dissertation for building and manipulating the indexing structures for moving objects databases. Applying the STAPS approach, an indexing structure of associating a time interval tree to each road segment was developed for real-time database systems of vehicles moving on road networks. The indexing structure uses affordable storage to support real-time data updates and efficient query processing. The data update and query processing performance it provides is consistent without restrictions such as a time window or assuming linear moving trajectories. An application system design based on distributed system architecture with centralized organization was developed to maximally support the proposed data and indexing structures. The suggested system architecture is highly scalable and flexible. Finally, based on a real-world application model of vehicles moving in region-wide, main issues on the implementation of such a system were addressed. 2004-07-13T07:00:00Z text application/pdf http://digitalcommons.fiu.edu/etd/26 http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=1060&context=etd FIU Electronic Theses and Dissertations FIU Digital Commons Real-Time Database Index Structure Road Networks Moving Objects
collection NDLTD
format Others
sources NDLTD
topic Real-Time
Database
Index Structure
Road Networks
Moving Objects
spellingShingle Real-Time
Database
Index Structure
Road Networks
Moving Objects
Ye, Xiangyu
An Indexing Structure and Application Model for Vehicles Moving on Road Networks
description Moving objects database systems are the most challenging sub-category among Spatio-Temporal database systems. A database system that updates in real-time the location information of GPS-equipped moving vehicles has to meet even stricter requirements. Currently existing data storage models and indexing mechanisms work well only when the number of moving objects in the system is relatively small. This dissertation research aimed at the real-time tracking and history retrieval of massive numbers of vehicles moving on road networks. A total solution has been provided for the real-time update of the vehicles’ location and motion information, range queries on current and history data, and prediction of vehicles’ movement in the near future. To achieve these goals, a new approach called Segmented Time Associated to Partitioned Space (STAPS) was first proposed in this dissertation for building and manipulating the indexing structures for moving objects databases. Applying the STAPS approach, an indexing structure of associating a time interval tree to each road segment was developed for real-time database systems of vehicles moving on road networks. The indexing structure uses affordable storage to support real-time data updates and efficient query processing. The data update and query processing performance it provides is consistent without restrictions such as a time window or assuming linear moving trajectories. An application system design based on distributed system architecture with centralized organization was developed to maximally support the proposed data and indexing structures. The suggested system architecture is highly scalable and flexible. Finally, based on a real-world application model of vehicles moving in region-wide, main issues on the implementation of such a system were addressed.
author Ye, Xiangyu
author_facet Ye, Xiangyu
author_sort Ye, Xiangyu
title An Indexing Structure and Application Model for Vehicles Moving on Road Networks
title_short An Indexing Structure and Application Model for Vehicles Moving on Road Networks
title_full An Indexing Structure and Application Model for Vehicles Moving on Road Networks
title_fullStr An Indexing Structure and Application Model for Vehicles Moving on Road Networks
title_full_unstemmed An Indexing Structure and Application Model for Vehicles Moving on Road Networks
title_sort indexing structure and application model for vehicles moving on road networks
publisher FIU Digital Commons
publishDate 2004
url http://digitalcommons.fiu.edu/etd/26
http://digitalcommons.fiu.edu/cgi/viewcontent.cgi?article=1060&context=etd
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