Real Time Traffic Control Using Big Data Analytics

Abstract

The road systems have become an essential social problem in today's busy world. The improvements in safety and efficiency of transport systems are required. Today's roads are filled with a lot of vehicles of different kind therefore this is an alarming situation to be acknowledged. As a result, the concepts of Big Data can be applied in the Real Time Traffic Control. The dynamic information is used to create Vehicle Arrival prototype, Turning Action prototype and Traffic Movement prototype. Our work in this paper is to focus on prototype generation for the above different prototype actions and use them to perform traffic imitation at microscopic level. We will also be studying about the advantages and disadvantages of various imitation optimization techniques as the performance of the above mentioned prototypes will largely depend upon the nature of traffic, roadway arrangement and the type of optimization used to control them.