High Impact Factor : 4.396 icon | Submit Manuscript Online icon |

Density Traffic Control using Pizo Sensor and RFID Tag


Prathamesh P Chavan , klemsscet udyambag belgaum; Prajakta Chavan, klemsscet udyambag belgaum


Density Traffic Control, Pizo Sensor and RFID Tag


Globally traffic congestion is considered to be an important issue, which can be reduced by proper traffic monitoring system. More recently, the advancement in wireless sensor technology shows a great promise in designing Intelligent Transportation System (ITS) due to its flexibility and cost-effectiveness for deployment. The aim of this project is to develop a prototype vehicle traffic monitoring system using piezo based density calculation and RFID wireless technology for smart control. In conventional system traffic lights are designed on fixed time basis. The main objective of the proposed system is to operate the traffic light on instantaneous traffic density or have an adaptive traffic signal. The piezo sensors continuously senses the pressure of the vehicle and sends output voltage to the microcontroller which determines the length of time the signal must be given green signal. Vehicular Ad-Hoc Networks (VANETs) technology is the most promising technology to increase traffic security and proficiency, and to enable various other related applications in the domain of vehicular communication. Applications using VANETs have diverse properties. Applications such as clearance to emergency vehicles (e.g. Ambulance, Fire Trucks), Vehicle-to-Vehicle (V2V) Communication is important to properly manage traffic situations. In this proposed method RFID reader detects the RFID tag given to special vehicles allowing those vehicles to gain first priority. These applications are classic models of what we call an intelligent traffic control System which aims to enhance security and efficiency in traffic management using new technologies for measuring instantaneous traffic and V2I communication to provide smart control.

Other Details

Paper ID: IJSRDV5I51409
Published in: Volume : 5, Issue : 5
Publication Date: 01/08/2017
Page(s): 1814-1821

Article Preview

Download Article