Some map matching algorithms for personal navigation assistants

✍ Scribed by Christopher E White; David Bernstein; Alain L Kornhauser

• Book ID: 104368799
• Publisher: Elsevier Science
• Year: 2000
• Tongue: English
• Weight: 492 KB
• Volume: 8
• Category: Article
• ISSN: 0968-090X
• DOI: 10.1016/s0968-090x(00)00026-7

✦ Synopsis

Third-generation personal navigation assistants (PNAs) (i.e., those that provide a map, the user's current location, and directions) 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. Hence, this paper considers map matching algorithms that can be used to reconcile inaccurate locational data with an inaccurate map/network.