http://www.iaeme.com/IJARET/index.asp 437 editor@iaeme.com International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 11, Issue 3, March 2020, pp. 437-441, Article ID: IJARET_11_03_039 Available online athttp://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=3 ISSN Print: 0976-6480 and ISSN Online: 0976-6499 © IAEME Publication Scopus Indexed ARCHITECTURE OF TRAFFIC FLOW PREDICTION BASED ON CCF-DEEP LSTM METHOD Nazirkar Reshma Ramchandra Research Scholar, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, India. Dr. C. Rajabhushanam Professor, Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, Tamilnadu, India. ABSTRACT 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. KEYWORDS: Framework, Prediction, Traffic, System, Technical Indicators. Cite this Article: Nazirkar Reshma Ramchandra and Dr. C. Rajabhushanam, Architecture of Traffic Flow Prediction Based on Ccf-Deep Lstm Method, International Journal of Advanced Research in Engineering and Technology (IJARET), 11(3), 2020, pp 437-441. http://www.iaeme.com/IJARET/issues.asp?JType=IJARET&VType=11&IType=3 1 INTRODUCTION In this current scenario no one can reach their wanted areas within the correct time because of the reason of traffic congestion. Traffic congestion is caused of many reasons. Traffic congestion is a state that is because of the more vehicular queuing, more trip times. It is the algorithm which uses different layers to progressively extact more level features forms the input. Deep learning is an artificial intelligence function that imitates the working of the