Archives


Rate this Article: (0) Votes

Review Article

Year : 2018 | Volume: 2 | Issue: 1 | Pages: 8-13

Raspberry Pi Traffic Density Observation Associate Controlling System

B Swathi1*, Ch. S. V Maruthi Rao, B. Sreenivasu2

doi:10.24951/sreyasijst.org/2018011002

Corresponding author

B Swathi*

Department of Electronics & Communication Engineering, Sreyas Institute of Engineering and Technology, Hyderabad, India

  • 1. Department of Electronics & Communication Engineering, Sreyas Institute of Engineering and Technology, Hyderabad, India
  • 2. Department of Electronics & Communication Engineering, Sreyas Institute of Engineering and Technology, Hyderabad, India.

Received on: 1/6/2019

Revised on: 1/6/2019

Accepted on: 1/6/2019

Published on: 1/6/2019

  • Raspberry Pi Traffic Density Observation Associate Controlling System, B Swathi, Ch. S. V Maruthi Rao, B. Sreenivasu., 1/6/2019, SREYAS International Journal of Scientists and Technocrats, 2(1), 8-13, http://dx.doi.org/10.18831/sreyasijst/12018011002.

    Published on: 1/6/2019

Abstract

This paper explains a Raspberry Pi controlled Traffic Density monitoring system. Raspberry Pi is a single board computer which can be effectively used for multi-functionalities. Here is the one of the ways of using this for multiple purposes. Here, we propose a technique which is used for traffic surveillance purpose where the traffic is continuously monitored and viewed through a live streaming. In addition to this, it is used to detect the traffic density and send the traffic information to the traveler. Here we are monitoring the traffic, based upon the density of the vehicles. If the density is low on a particular side, the time period for that side will be reduced automatically; if the density is medium, the time period for that side will remain the same; and, if the density is high, the time period will automatically increase, compared to the normal density. Here, the time period means time given to the green light to glow to that particular side. Using IR sensors, the density of vehicles of each side is identified. Traffic for each side can be monitored by live streaming. A USB camera interface to Pi3 is used for this purpose. By rotating camera 360 degrees, one step 90 degrees In Raspberry pi3 are a great choice for traffic sensing, because it is equipped with a variety of sensors such as Wi-Fi, L293D, IR sensors, DC gear motor, Camera and Microphone. These sensors can be exploited to collect traffic data. This traffic report is updated periodically and displayed on the screens installed at the public places.

Keywords

Raspberry Pi; Traffic Density, Live Streaming, Traffic Surveillance, IR sensors; l293D Driver, DC gear motor.