Our Why
Four-lane stop systems are widely used. Therefore, a means of optimizing the safety and traffic flow at four-lane stops is critical. However, readily accessible methods of optimizing safety and traffic flow, such as analyzing real-time human behavior, are not preventative solutions.
The need here is a preventative solution to optimize safety and traffic flow. One solution is to program N.A.O. Robots to simulate real-world drivers. By analyzing how the robots respond to dummy vehicles at different variations of four-lane stops, road and highway engineers can facilitate the testing and analysis necessary for preliminary and continued optimization across these kinds of stops.
Our How
The proposed system utilizes N.A.O. V6 Humanoid robots to navigate a four-lane stop in a motorized model vehicle consisting of an electric motor and battery; Arduino-programmable I.C.’s and other circuits; and various other electrical components. The two, aforementioned subsystems – the robot and vehicle – will receive their programming from Choregraphe 2.8.6.23, a Python 2.7-based I.D.E. for NAO robots, and Arduino I.D.E., respectively.