ARCHITECTURE OF TRAFFIC FLOW PREDICTION BASED ON CCF-DEEP LSTM METHOD

The foremost reason for traffic congestion is the more number of vehicles that is because of the increase in population rate and also because of the development of the economy. Due to many reason the developed cities don't have chance to eliminate traffic, but the modern and developed technology helps to manage traffic. Over last some years, traffic data have been exploding. The traffic in the area can be predicted is done using Deep Learning concept. Deep learning is a subdivision of Machine learning algorithms. The deep leaning algorithm is applied for the detection of traffic. This method is commonly known as traffic flow model prediction. In this research article a new architecture has been proposed to predict the traffic control in concern area. Here various indicators are used to analyze the traffic data. The important indicators are CCI, ADX and DEMA.