Adapted Traffic Congestion Mapping

Classify Traffic Congestion using Neural Network and map it on the web

Binh Duong

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Technologies Used

IBM Bluemix

Project Team

Le Thai An
Developer
Viet Nguyen The
Developer
Phan Hue Chi
Doan Thai Thien Loc
Developer
Nguyen Doan Hoang Anh
Entrepreneur

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Product Manager Investor
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About

A.T.C.M. is a artificial-intelligent application developed by Team VGU 2015 that can detect congestion at the intersections and the roundabouts. Traffic jams can be avoided by using the neural network module of this app. This will help you save more time and be more economical. A.T.C.M. can detect and evaluate the traffic density’s level and, furthermore, give the users the option to find alternative routes that fit their need. We built ATCM on machine-learning conccept, which is based on Neural Network module utilizing: OpenCV as traffic congestion classifier Bluemix Cloudant as public web app system. The application also uses Google Map API, Flask Microframework and Python platform. Link Github : https://github.com/anindex/atcm

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