Deep Learning Really Create an Impact in Vehicle Traffic Forecasting

  • Shreedhar Maruti Kumbhar Department of Master of Computer Applications Rajarajeswari College of Engineering
  • Mahadev Prasad H.S Department of Master of Computer Applications RajaRajeswari College of Engineering
Keywords: Machine Learning, Deep Learning, Short-Term Traffic Forecasting, Data-Driven Traffic Modeling, Spatio-Temporal Data Mining.


Cities must confront the issue of current sustainable transport, and road condition forecasts is critical in reducing traffic congestion. For instance, forecasting course duration is a significant issue with navigation and routing. applications. Furthermore, as information and communication technologies become more prevalent, vehicle data becomes a significant Provider of accurate information for projects involving automated transport systems.Data for forecasting traffic prediction automobiles traffic jams is provided. An evaluation of advanced machine learning techniques is offered to highlight the capability of LSTM (Long Short Term Memory) using neural network techniques in tackling Prediction of traffic problem. Various In order to evaluate the developed Machine Learning (Linear Regression) theories, tests are provided to look at how they penetrate the reduce the loss level.

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