Kempinska, KK;
Davies, T;
Shawe-Taylor, J;
(2016)
Probabilistic Map-matching using Particle Filters.
In:
Proceedings of 24th GIS Research UK (GISRUK 2016) Conference.
Greenwich GIS Research Group: London, UK.
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Abstract
Increasing availability of vehicle GPS data has created potentially transformative opportunities for trac management, route planning and other location-based services. Critical to the utility of the data is their accuracy. Map-matching is the process of improving the accuracy by aligning GPS data with the road network. In this paper, we propose a purely probabilistic approach to map-matching based on a sequential Monte Carlo algorithm known as particle filters. The approach performs map-matching by producing a range of candidate solutions, each with an associated probability score. We outline implementation details and thoroughly validate the technique on GPS data of varied quality.
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