SHORT TERM PREDICTION OF VEHICLE MOVEMENTS BY NEURAL NETWORKS
In this paper, the authors examine the application of short-term prediction of vehicle movements by different neural network architectures. Place-based positioning and navigation techniques are recommended for providing support for navigation tasks that are not supported by conventional automobile navigation systems.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/43257496
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Supplemental Notes:
- Publication Date: 1999 IEEE Service Center, Piscataway NJ
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Corporate Authors:
University of Canterbury
Christchurch, New Zealand -
Authors:
- Mitrovic, D
- Conference:
- Publication Date: 1999
Language
- English
Media Info
- Pagination: p. 187-190
Subject/Index Terms
- TRT Terms: Automobile navigation systems; Neural networks; Traffic estimation
- Subject Areas: Data and Information Technology;
Filing Info
- Accession Number: 00791728
- Record Type: Publication
- Source Agency: UC Berkeley Transportation Library
- Files: PATH
- Created Date: May 5 2000 12:00AM