Eviannn/Transportation-Mode-Detection-Using-GPS-Data
Final Year Project in SEU, 2021.06
This project helps urban planners and transportation authorities understand how people travel by automatically identifying transportation modes from raw GPS location data. It takes in GPS trajectory logs and outputs classifications like 'walking,' 'biking,' or 'driving' for each trip segment. City planners and traffic analysts can use this to get timely insights into residents' travel patterns.
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Use this if you need to analyze large datasets of GPS trajectories to determine the modes of transportation used by individuals for urban planning or traffic management.
Not ideal if you require real-time, on-device transportation mode detection or need to classify modes beyond typical urban transit options.
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Aug 23, 2021
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