Crowdsourcing turning restrictions for OpenStreetMap Full text

Alexandros Efentakis, Sotiris Brakatsoulas, Nikos Grivas, Dieter Pfoser
Mining Urban Data Workshop
Περίληψη. The abundance of GPS tracking data due to the emergence and popularity of smartphones has fuelled significant research around GPS trajectories and map-matching algorithms. Unfortunately, none of this previous research addresses the issue of identifying turning restrictions in the underlying road network graph. Our latest research endeavour remedies this, by proposing a novel, straightforward and effective way to infer turning restrictions for OpenStreetMap data, by utilizing historic map-matching results from an existing fleet management service. Our experimental evaluation based on the results acquired for three European cities within an one-year period, proves the robustness and credibility of our method.