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GitHub / taiwotman / Smart-Traffic

A system and method for the prediction of vehicle traffic congestion on a given roadway within a region. In particular, the computer implemented method of the present disclosure utilize real time traffic images from traffic cameras for the input of data and utilizes computer processing and machine learning to model a predictive level of congestion within a category of low congestion, medium congestion, or high congestion. By implementing machine learning in the comparison of exemplary images and administrator review, the computer processing system and method steps can predict a more efficient real-time congestion prediction over time.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/taiwotman%2FSmart-Traffic

Stars: 46
Forks: 24
Open issues: 0

License: other
Language: HTML
Size: 156 MB
Dependencies parsed at: Pending

Created at: about 7 years ago
Updated at: 21 days ago
Pushed at: over 2 years ago
Last synced at: 14 days ago

Topics: congestion, highway, machine-learning, prediction, tensorflow, tensorflow-experiments, traffic

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