Date of Publication :28th April 2018

Abstract: Traffic flow prediction is the process of predicting future traffic conditions in short-term or long term basis, based on real time and the past traffic data. It is an important component of an Intelligent Transportation System (ITS) in smart city development. Apart from traffic data from sensors, Incidents detection, Lane closure and Weather data also some of the main reasons to cause the congestion. Combine factors and provide an efficient prediction of congestion. It provides innovative and smarter services to the transport users. Deep learning is a promising technology used to predict the traffic congestion with high accuracy. Deep belief network, Recurrent neural network, Convolutional neural network are some of the well known existing algorithms used in transportation analysis. In this paper a novel framework is proposed for intelligent transport systems which can solve so many issues such as pollution, accidents, and unwanted delays.

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