IoT-Based Voice-Controlled Energy-Efficient Intelligent Traffic and Street Light Monitoring System

Abstract

Traffic congestion and street light monitoring is a vital problem in all part of the cities of India along with other areas of countries. This congestion is formed due to poor management of light signals as well as law enforcement technique. In this paper, we present an idea to build up a voice-controlled smart traffic (VCST) based on Arduino UNO where the light system can be monitored by the implementation of specific voice commands and traffic-flow-based smart (LED) street light. It offers energy optimization methods, low-cost, highly reliable, and user friendly architecture in smart grid architecture with a low-power ZigBee network. Generally, in this proposed system, we use simple voice commands like red, green, yellow, and stop which are used to operate the system. The voice command is forwarded by using an Android application to the Bluetooth module, which successfully differentiates between pre-stored commands and identifies them exactly to control the street light and traffic light system. We propose a smart traffic system based on Arduino UNO that evaluates to change light signals according to the voice message.