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Process / pipelineMovement and trajectory data mining

GPS Trajectory Analysis

GPS trajectory analysis is the pipeline that turns raw streams of timestamped location fixes into structured, meaningful mobility information — the stops where a person dwells, the trips between them, the transport modes used, and the network routes actually travelled. Following the trajectory-data-mining framework synthesized by Yu Zheng in 2015, it cleans noisy positions, segments movement into stays and journeys, snaps points onto road or transit networks, and infers behaviour and recurrent patterns. It is the foundation for activity-space, travel-demand, and mobility studies built on smartphone and vehicle tracking data.

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Kilder

  1. Zheng, Y. (2015). Trajectory data mining: an overview. ACM Transactions on Intelligent Systems and Technology, 6(3), 1–41. DOI: 10.1145/2743025

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ScholarGate. (2026, June 22). GPS Trajectory Analysis (Trajectory Data Mining). ScholarGate. https://scholargate.app/da/human-geography/gps-trajectory-analysis

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ScholarGateGPS Trajectory Analysis (GPS Trajectory Analysis (Trajectory Data Mining)). Hentet 2026-06-24 fra https://scholargate.app/da/human-geography/gps-trajectory-analysis · Datasæt: https://doi.org/10.5281/zenodo.20539026