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Conflation of OpenStreetMap and Mobile Sports Tracking Data for Automatic Bicycle Routing
2016
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This article investigates how workout trajectories from a mobile sports tracking application can be used to provide automatic route suggestions for bicyclists. We apply a Hidden Markov Model (HMM)-based method for matching cycling tracks to a "bicycle network" extracted from crowdsourced OpenStreetMap (OSM) data, and evaluate its effective differences in terms of optimal routing compared with a simple geometric point-to-curve method. OSM has quickly established itself as a popular resource for
doi:10.1111/tgis.12192
fatcat:guunte36bbflxj2mcgv7nqe5by