SOME MAP MATCHING ALGORITHMS FOR PERSONAL NAVIGATION ASSISTANTS
Third-generation personal navigation assistants (PNAs) must be able to reconcile the user's location with the underlying map. This process is known as map matching. Most existing research has focused on map matching when both the user's location and the map are known with a high degree of accuracy. However, there are many situations in which this is unlikely to be the case. This paper, then, considers map matching algorithms that can be used to reconcile inaccurate locational data with an inaccurate map/network.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
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Corporate Authors:
The Boulevard, Langford Lane
Kidlington, Oxford United Kingdom OX5 1GB -
Authors:
- White, C E
- Bernstein, D
- Kornhauser, A L
- Publication Date: 2000-2
Language
- English
Media Info
- Features: Figures; References; Tables;
- Pagination: p. 91-108
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Serial:
- Transportation Research Part C: Emerging Technologies
- Volume: 8
- Issue Number: 1
- Publisher: Elsevier
- ISSN: 0968-090X
- Serial URL: http://www.sciencedirect.com/science/journal/0968090X
Subject/Index Terms
- TRT Terms: Algorithms; Highway transportation; Map reading; Mapping; Maps; Navigation; Navigational aids; Personal digital assistants
- Uncontrolled Terms: Locational data
- Subject Areas: Highways; Planning and Forecasting; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 00800320
- Record Type: Publication
- Files: TRIS, ATRI
- Created Date: Oct 3 2000 12:00AM