Paper Contents
Abstract
Traffic control in large cities is extremely tough. This study deals with traffic prediction that can be done in intelligent transportation systems which involve the prediction between previous years data set and recent year data which ultimately provides the accuracy and mean square error. This prediction will be helpful for the people who are in need to check the immediate traffic state. The traffic data is predicated on a basis of 1 hour time gap. Live statistics of the traffic is analyzed from this prediction. So this will be easier to analyze when the user is on driving too. The system compares the data of all roads and determines the most populated roads of the city.
Copyright
Copyright © 2024 Arockia Eugine Bapista P . This is an open access article distributed under the Creative Commons Attribution License.
