Depleting Commuter Traffic: Significant Solution With Machine Learning Algorithms

Intellectual Traffic Predictor aims to improve the current Transportation system by providing various services that correspond to the different Transportation modes and Traffic Management. Due to the increased usage of private transportation vehicles, the roads get congested during peak hours. This increases the complexity in Traffic Management and it is extremely a tedious process to control the traffic. This aims to the implementation of technology to the real time problem in reducing the traffic by the use of efficient data processing algorithms to predict the traffic conditions prior, a positive sign for the users to avoid such conditions by an alert, and to take a time savior route. Implementing technology into real world problems can be said as maximal utilization of modern technologies for better experiences by society usage. Traffic predictions or congestions is found by implementing a best reasoning algorithm which can satisfy the problem by predicting traffic results for a period of time into future. Multiple algorithms are contrasted to find the accuracy results and chose the algorithm finishing the job with high accuracy for prediction of traffic congestion based on inputs route number, day, time and direction.