Intelligent and Soft Computing Systems for Green Energy

24Solar Powered Density and Emergency-Based Traffic Control System Using NI LabVIEW

M. Devika Rani*, G. Bhavani, K. Kartheek, A. Sindhura and D. Nikhila

Department of Electrical and Electronics Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India

Abstract

The undertaking is aimed at planning a response-based traffic signal system where the exigency of signal timing will change consequently on identifying traffic strength at any intersection. Gridlock is an issue, in which continuous movement of vehicles along an entire network of intersecting streets in all directions comes to a complete halt. Present-day traffic mark out system is time limit-based, where the chance is wasteful for the off traffic paths. To overcome this, we have made a new traffic signal control structure. The heavy density side of the intersection needs longer green time than the standard time. We proposed the controlled operation of red light and green light based on the thickness of traffic present around that surrounded area. This task is achieved by photoelectric proximity Infrared sensors. Based on proper determination of traffic thickness; green light is assisted by the processor. The specified sensors are placed on roadsides. These will identify the existence of vehicles and send the data to the microcontroller, where it will choose a flank to alter the indication lights.

Keywords: Signal timing, traffic strength, traffic signal, infrared sensors, ...