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Machine Learning Algorithms for Traffic Flow Prediction

Kruthika G R, Sowmya B

Abstract


Individuals need traffic flow management and analysis to better manage and route their everyday journeys, while transportation managers need it to schedule road infrastructure repair jobs appropriately. To overcome this problem, traffic analyst has devised a variety of time-series speed forecasting methods, by using classical analysis methods and machine learning algorithm. Traffic management systems importance is to calculate the feature of traffic stream accurately. The proposed technique focuses on integrating machine learning algorithms, genetics, and image processing to train a neural network model. The recommended technique includes educating of neural network model on forecasting of traffic flow on hourly basis. The output gives the better information of the traffic statistics.


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References


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