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Abstract
Deep learning solutions in big data applications can benefit cloud centres and can also lead to network communication overhead. Typically, data collected from traffic are sent to the traffic management centre for analysis. However, this process can worsen the network route to the traffic management centre. A two-tier mechanism has been developed to address this issue, which performs vehicle speed estimation and traffic congestion detection for efficient traffic management. The real-time traffic video data are captured and the video frames are initially processed through a foreground extraction process, which extracts the temporarily stopped vehicles on the road by removing background pixels from the frames. The video frames are then wrapped in an up-down view to remove the influence of the observation angle. The traffic congestion is then detected accurately based on the traffic characteristics using the proposed Ensemble Random Forest-based Gradient Optimization (ERF-GO) algorithm. The generalization error occurs when learning complex features on frames is minimized using a gradient-based optimization (GO) algorithm. Finally, the learned information on traffic conditions is forwarded to the cloud and edge computing environments based on network connection speed. The efficiency of the proposed ERF-GO is investigated in terms of performance metrics, namely root mean square error, speed detection error, execution time, computational cost, accuracy, latency, workload balance, precision, recall, f-measure, and congestion detection error rate. The analytic result displays that the proposed ERF-GO algorithm attains a greater accuracy rate of about 98.65% in detecting traffic congestion which is comparably higher than state-of-the-art methods.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
S. Rajagopal
S Rajagopal (Sankarasubbu Rajagopal) obtained his bachelor's degree in electronics and communication engineering from Anna University (P.S.R Engineering College, Sivakasi in 2007). Then he obtained his master's degree in computer and communication from Anna University (National Engineering College, Kovilpatti in 2009). He obtained his PhD degree in video processing at Anna University, Chennai, India in 2019. Currently, he is an assistant professor (Senior Grade) in the department of information technology, National Engineering College, Kovilpatti. His specializations include real-time video processing, video analytics, video encryption, and video compression systems.
M. Uma Devi
M Uma Devi obtained her bachelor's degree in computer science and engineering from Manonmaniam Sundaranar University in 1996 and obtained her master's degree and PhD in computer science and engineering from Sathyabama Institute of Science and Technology in 2010 and 2018, respectively. Currently, she is working as an associate professor in the department of computing technologies, SRM Institute of Science and Technology, Kattankulathur, Chennai. She has more than 20 years of experience in teaching and research. Her areas of interest are data mining, information retrieval, machine learning, deep learning etc.. She has published more than 25 papers in reputed journals. She is a member of CSI, IEI, and the Indian Science Congress Association. Email: [email protected]
G. Maria Jones
G Maria Jones is an assistant professor at department of computer science and engineering under the school of computing at Sathyabama Institute of Science and Technology, Chennai, Tamil Nadu. She obtained her PhD in 2022 at Anna University, Chennai. She has published seven research articles in reputed SCI Indexed Journals and also she published six book chapters, four patents, and one Book. She is an active reviewer for many international journals. Her areas of interest include mobile forensics, malware analysis, and mathematical modelling. Email: [email protected]
M. Gomathy Nayagam
M Gomathy Nayagam is currently an associate professor in the department of computer science and business systems at Ramco Institute of Technology, Rajapalayam, Tamilnadu, India. He has 18 years of teaching experience. He obtained his PhD in information and communication engineering from Anna University, Chennai. He has published 16 papers in reputed journals and more than 15 papers in National and International conferences. His areas of research interest are image and video processing, object detection and tracking, grid and cloud computing, computer networks, and AI & ML. He is a member of ACM and a life member of IE(I), CSI, and ISTE. Email: [email protected]