A POI-zone and Pareto-calibrated framework infers trip purposes from GPS data and cuts distributional JSD from survey benchmarks by 23-48% on 81 million Los Angeles staypoints.
Global mobility and location data provider,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Uncertainty-Aware Trip Purpose Inference from GPS Trajectories via POI Semantic Zones and Pareto Calibration
A POI-zone and Pareto-calibrated framework infers trip purposes from GPS data and cuts distributional JSD from survey benchmarks by 23-48% on 81 million Los Angeles staypoints.