Use of UAVS, Computer Vision, and IOT for Traffic Analysis

Abstract

One of the greatest needs today in road safety and its conservation work is to obtain traffic data in real time to predict traffic and increase safety of people. In this work, a camera embedded in an Unmanned Automatic Vehicle in static flight has been used to get information about traffic in a roundabout. These infrastructures are key since they are considered conflictive points in the circulation flow, and it is complex to analyze. A system has been developed to analyze images online and that obtains vehicle behavior data in real time. The system offers information such as vehicle count, their instantaneous speed at each moment, average speed of each one, individual trajectory, traffic density, lane changes, trouble spots, etc. The information provided by this system allows a better decision-making, increased security, improved traffic flow, and how to schedule maintenance tasks carried out by conservatives.