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Didi Tech
Didi Tech
Sep 24, 2020 · Artificial Intelligence

Trajectory Data Mining for Road Network Updates and Route Deviation Detection

The paper shows how DiDi’s massive driver‑trajectory data can be mined with clustering, map‑matching, and deep‑learning techniques to automatically refine intersection positions, calibrate road‑network topology, and detect both individual detours and collective road‑closure anomalies, enabling real‑time map improvements and safety services.

Big DataSpatial Analysismachine learning
0 likes · 19 min read
Trajectory Data Mining for Road Network Updates and Route Deviation Detection
DataFunTalk
DataFunTalk
May 24, 2020 · Artificial Intelligence

Automatic Calibration of Road Intersection Topology Using Trajectories (CITT Framework)

This article presents the CITT framework, a three‑stage algorithm that automatically calibrates road‑intersection topology using massive GPS trajectory data, detailing preprocessing, core‑area detection via quadtree‑mean‑shift, influence‑zone calibration with direction‑weighted Frechet distance and DBSCAN, and demonstrating superior accuracy over existing methods.

Big Dataintersection calibrationmachine learning
0 likes · 10 min read
Automatic Calibration of Road Intersection Topology Using Trajectories (CITT Framework)