Analysis of traffic flow in different weather conditions

Abstract

Analyzing and predicting the flow of traffic has always been a subject of great importance. The governments and traffic police can use this information to direct the traffic and facilitate the flow of traffic more freely and effectively. The information obtained can prevent future traffic congestion and save hours of commute time and thus resources. It can also save lives since the emergency services such as the ambulance can move faster to the hospitals. Predicting theflow of traffic is of paramount importance toeffectively overcome these challenges. This paper presents several regression machine learning techniques that combine the performance of various algorithms and compares it with existing Machine Learning Algorithms using the mean square error, root mean square error and other performance metrics.