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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/5485

Title: Positioning algorithms for transport telematics applications
Authors: Ochieng, Washington Y.
Quddus, Mohammed A.
Noland, Robert B.
Issue Date: 2004
Publisher: © The Hong Kong Institution of Engineering Surveyors
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
Abstract: 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
Description: This article was published in the serial, Journal of Geospatial Engineering [© The Hong Kong Institution of Engineering Surveyors ].
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/5485
ISSN: 1563-3772
Appears in Collections:Published Articles (Architecture, Building and Civil Engineering)

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