Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6936844 | Transportation Research Part C: Emerging Technologies | 2015 | 12 Pages |
Abstract
The developed stMM algorithm is tested using a series of real-world datasets of varying frequencies (i.e. 1Â s, 5Â s, 30Â s, 60Â s sampling intervals). A high-accuracy integrated navigation system (a high-grade inertial navigation system and a carrier-phase GPS receiver) is used to measure the accuracy of the developed algorithm. The results suggest that the algorithm identifies 98.9% of the links correctly for every 30Â s GPS data. Omitting the information from the shortest path and vehicle trajectory, the accuracy of the algorithm reduces to about 73% in terms of correct link identification. The algorithm can process on average 50 positioning fixes per second making it suitable for real-time ITS applications and services.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Mohammed Quddus, Simon Washington,