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Validation of map matching algorithms using high precision positioning with GPS

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journal contribution
posted on 17.06.2009, 15:26 by Mohammed Quddus, Robert B. Noland, Washington Y. Ochieng
Map Matching (MM) algorithms are usually employed for a range of transport telematics applications to correctly identify the physical location of a vehicle travelling on a road network. Two essential components for MM algorithms are (1) navigation sensors such as the Global Positioning System (GPS) and dead reckoning (DR), among others, to estimate the position of the vehicle, and (2) a digital base map for spatial referencing of the vehicle location. Previous research by the authors (Quddus et al., 2003; Ochieng et al., 2003) has developed improved MM algorithms that take account of the vehicle speed and the error sources associated with the navigation sensors and the digital map data previously ignored in conventional MM approaches. However, no validation study assessing the performance of MM algorithms has been presented in the literature. This paper describes a generic validation strategy and results for the MM algorithm previously developed in Ochieng et al. (2003). The validation technique is based on a higher accuracy reference (truth) of the vehicle trajectory as determined by high precision positioning achieved by the carrier-phase observable from GPS. The results show that the vehicle positions determined from the MM results are within 6 m of the true positions. The results also demonstrate the importance of the quality of the digital map data to the map matching process.

History

School

  • Architecture, Building and Civil Engineering

Citation

QUDDUS, M.A., NOLAND, R.B. and OCHIENG, W.Y., 2005. Validation of map matching algorithms using high precision positioning with GPS. The Journal of Navigation, 58(2), pp 257-271.

Publisher

© The Royal Institute of Navigation

Version

AM (Accepted Manuscript)

Publication date

2005

Notes

This is an article from the journal, The Journal of Navigation [© The Royal Institute of Navigation]. It is also available at: http://dx.doi.org/10.1017/S0373463305003231

ISSN

0373-4633;1469-7785

Language

en