An Enhanced Yolo Based Traffic Analysis System

Abstract

As the number of automobiles on the road rises daily, population increases so traffic is the main problem faced by the people in our society. Traffic analysis is a task that helps the user to avoid route that are going to pack with traffic jam in cities. Most of the cities suffer from traffic jams so implementing a tools that helps to predict the traffic jam and take less time to reach their destination To control this traffic problem many are implementing various machine learning algorithms which are very effective in controlling the flow of traffic in various places some algorithms like SVM (Support Vector Machine), and other CNN (Convolutional Neural Networks), LSTM, XGBOOST, YOLO (You Only Look Once), RCNN, RNN, SSD Machine Learning Algorithms etc. It can increase traffic operation effectively, cut carbon emission, ease traffic congestion, and aid road users in making smarter travel selection.