Retracted: Prediction of Traffic Flow Propagation Using Machine Learning Algorithms

• Published in: 2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) pp. 1 - 5
• Main Authors: Priya, Shristi, Singh, Divyashu, Sharma, Harshit, Yadav, Janhvi
• Format: Conference Proceeding
• Language: English
• Published: IEEE 16.02.2022
• DOI: 10.1109/ICEEICT53079.2022.9768561

Traffic congestion is the major problem that is being faced by the society. Several research performed but still accuracy we can able to find out. In this paper we basically worked on traffic prediction it will able to predict the traffic across the road. It will help the people to choice the best route to the destination, this project basically based on Machine Learning and Markov model. Various algorithms of machine learning is used to predict the. In this paper, we propose to show the connection between the traffic volume and straightforward insights about streams utilizing a Hidden Markov Model dependent on which we can keep away from direct estimation of the traffic volume however rather we gauge what's more foresee the secret traffic volume dependent on those straightforward stream insights which are gathered by some sketch strategies. We exhibit the possibility and adequacy of our proposed strategy utilizing some semi-reproduction and genuine information exploratory results.