A higher-order network comparison of real Ile-de-France mobility traces against a synthetic simulator finds the simulator promising yet limited on path-level statistics.
In: Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp
2 Pith papers cite this work. Polarity classification is still indexing.
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CycleTrajectory is a pipeline that filters, resamples, map-matches via OSRM, enriches with OSM road data, and derives cycling metrics from action-camera GPS trajectories, reporting 5.64% map-matching error.
citing papers explorer
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Higher-order Network Analysis of Human Mobility Data
A higher-order network comparison of real Ile-de-France mobility traces against a synthetic simulator finds the simulator promising yet limited on path-level statistics.
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CycleTrajectory: An End-to-End Pipeline for Enriching and Analyzing GPS Trajectories to Understand Cycling Behavior and Environment
CycleTrajectory is a pipeline that filters, resamples, map-matches via OSRM, enriches with OSM road data, and derives cycling metrics from action-camera GPS trajectories, reporting 5.64% map-matching error.