Close category search window
 

Generating network-based moving objects

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Brinkhoff, T. ; Inst. of Appl. Photogrammetry & Geoinf., Fachhochschule Oldenburg, Germany

Benchmarking spatiotemporal database systems requires the generation of suitable datasets simulating the typical behavior of moving objects. Previous approaches do not consider that in many applications the moving objects follow a given network. In this paper, the most important properties of network-based moving objects are presented. These properties are the basis for specifying and developing a new generator for spatiotemporal data. This generator combines a real network with user-defined properties of the resulting dataset. A framework for using and promoting the generator exists

Published in:
Scientific and Statistical Database Management, 2000. Proceedings. 12th International Conference on

Date of Conference: 2000

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.