Prediction of Traffic Congestion through Convolutional Neural Network

2021 Smart Technologies, Communication and Robotics (STCR)(2021)

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摘要
In today's world, the usage of vehicles has increased that leads to vehicle traffic congestion. In this scenario, it is difficult to detect and control the traffic flow using man power and it is a time consuming process. In our proposed system we apply convolutional neural network to identify the traffic based on 3 categories namely low, medium and heavy regions. In order to identify the congestio...
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关键词
Surveillance,Roads,Urban areas,Sociology,Robot vision systems,Traffic control,Convolutional neural networks
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