Combined Dense Urban Traffic Surveillance and Principal Component Analysis for Intelligent Transportation Systems

In parallel to the recent technological advancements and developments, there is a consistent development in the field of Intelligent Transportation Systems (ITS). Though advancements are considered in one side, there is also a negative side of increased road-accidents, traffic jams, and traffic congestions etc. In this paper, to address the above-mentioned problems, dense urban traffic surveillance data analysis and principal component analysis on the vehicular data are performed. This study and analysis provide some findings, which are discussed to come up with various perspectives on the data patterns and analysis to develop a healthy, user-friendly and highly sophisticated environment to the daily commuters in the roadway sector.