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Positioning algorithms for transport telematics applications

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journal contribution
posted on 18.11.2009, 14:06 by Washington Y. Ochieng, Mohammed Quddus, Robert B. Noland
This paper develops two integrated positioning algorithms for transport telematics applications and services. The first is an Extended Kalman Filter (EKF) algorithm for the integration of GPS and low cost DR sensors to provide continuous positioning in built-up areas. The second takes this further by integrating the GPS/DR output with map data in a novel a map-matching process to both identify the physical location of a vehicle on the road network and improve positioning capability. The proposed MM algorithm is validated using a higher accuracy reference (truth) of the vehicle trajectory as determined by high precision positioning achieved by the carrier phase observable from GPS

History

School

  • Architecture, Building and Civil Engineering

Citation

OCHIENG, W.Y., QUDDUS, M.A. and NOLAND, R.B., 2004. Positioning algorithms for transport telematics applications. Journal of Geospatial Engineering, 6 (2), pp. 10-30

Publisher

© The Hong Kong Institution of Engineering Surveyors

Version

AM (Accepted Manuscript)

Publication date

2004

Notes

This article was published in the serial, Journal of Geospatial Engineering [© The Hong Kong Institution of Engineering Surveyors ].

ISSN

1563-3772

Language

en

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Keywords

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