Directed-edge-based mining of regular routes for enhanced traffic pattern recognition from travel trajectories
Xiaobo Yang, Guangyin Jin, Guangyin Jin, Guangyin Jin, Guangyin Jin, Guangyin Jin · 2025
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Description
Xiaobo Yang presents, in a 2025 paper, a way to mine set travel routes from GPS paths that knows which way each leg runs. Path reads help show how people move through a city. The method cleans raw paths, finds stay spots, cuts odd paths, then pulls oft-used legs with their way kept. Route groups then yield each user's set routes. A stop-rate trait splits trips by mode, bus-like or car-like, in a sound way. Paths that break the run are cut out first, so noise does not bend the result.
Tests used the Geolife set: 208 users and 1.35 million kilometers of paths. Error fell 56, 49, and 32 percent against rule, CNN, and DBSCAN rivals. Gains cover route pulls and mode calls.
Catalog record
| CREATOR | Xiaobo Yang, Guangyin Jin, Guangyin Jin, Guangyin Jin, Guangyin Jin, Guangyin Jin |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 68 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |