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A general map matching algorithm for transport telematics applications

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journal contribution
posted on 2009-09-04, 10:23 authored by Mohammed Quddus, Washington Y. Ochieng, Lin Zhao, Robert B. Noland
This paper describes a map-matching algorithm designed to support the navigational functions of a real-time vehicle performance and emissions monitoring system currently under development, and other transport telematics applications. The algorithm is used together with the outputs of an extended Kalman filter formulation for the integration of GPS and dead reckoning data, and a spatial digital database of the road network, to provide continuous, accurate and reliable vehicle location on a given road segment. This is irrespective of the constraints of the operational environment, thus alleviating outage and accuracy problems associated with the use of stand-alone location sensors. The map-matching algorithm has been tested using real field data and has been found to be superior to existing algorithms, particularly in how it performs at road intersections.

History

School

  • Architecture, Building and Civil Engineering

Citation

QUDDUS, M.A....et al., 2003. A general map matching algorithm for transport telematics applications. GPS Solutions, 7(3), pp. 157-167.

Publisher

© Springer-Verlag

Version

  • AM (Accepted Manuscript)

Publication date

2003

Notes

This article was published in the journal, GPS Solutions [© Springer-Verlag] and the definitive version is available at: http://dx.doi.org/10.1007/s10291-003-0069-z

ISSN

1080-5370;1521-1886

Language

  • en