IoT Based Intelligent Traffic Management and Violators Recognition System

Authors

  • Meda Leela Devi Satya Sai Lokesh Research Scholar, Amity University Haryana, Gurugram, Haryana, India Author
  • Neeraj Gupta Assistant Professor, Amity University Haryana, Gurugram, Haryana, India Author
  • Arun Kumar Singh Assistant Professor, Amity University Haryana, Gurugram, Haryana, India Author

Keywords:

IR Sensor, IoT, RFID, Raspberry-pi

Abstract

This paper presents a new system to  manage traffic in a high congested area. The IoT technology  is utilized for traffic management and identification of  defaulters. The raspberry-pi, RFID, and IR sensors are used  to implement the system. The proposed system is  incorporated with decisive and round-robin algorithm to  detect the optimal path to further indicate the direction for  traffic. IR sensors regulates the density of traffic in an area  by RFID. The traffic signals connected with cameras in  metro cities cab be upgrade by connecting to IoT. This  system is very useful during the pandemic. The police can  easily control the traffic from mobile phone from their  home and identify the defaulters also. The proposed system  helps in sequestering of ambulance, firefighting vehicles  from daily traffic. There is an extra benefit of using RFID  that supports in locating the robbed or snatched vehicles. 

Downloads

Download data is not yet available.

References

B. Ghazal, K. El-khatib, K. Chahine and Mohamad Kherfan. “Smart traffic light control system.” 2016 Third International Conference on Electrical, Electronics, Computer Engineering, and their Applications (EECEA) (2016): 140-145.

A. C, M. Kumar and P. Kumar, "City traffic congestion control in Indian scenario using wireless sensors network," 2009 Fifth International Conference on Wireless Communication and Sensor Networks (WCSN), 2009, pp. 1- 6, doi: 10.1109/WCSN.2009.5434809.

A. K. Mittal and D. Bhandari, "A novel approach to implement green wave system and detection of stolen vehicles," 2013 3rd IEEE International Advance Computing Conference (IACC), 2013, pp. 1055-1059, doi: 10.1109/IAdCC.2013.6514372.

Swarup Kulkarni, “Intelligent Traffic Control System Implementation for Traffic Violation Control, Congestion Control and Stolen Vehicle Detection”, International Journal of Embedded System ‒ Vol. 5, No. 2, pp. 57-71, 2017.

Veera Venkatesh, Nazneen Syed, "Smart Traffic Control System for Emergency Vehicle Clearance", International Journal of Innovative Research in Computer and Communicattion Engineering, Vol. 3, Issue 8, August 2015.

Abdus Samad Kamal Md, Jun-ichi Imura, Tomohisa Hayakawa, Akira Ohata, and Kazuyuki Aihara, “Smart Driving of a Vehicle Using Model Predictive Control for Improving Traffic Flow", IEEE Trans. Intell. Transp.Syst, vol. 15, no. 2, 2014.

Upendra Kumar, Neeraj Gupta, P. Dinesh Reddy, Pawan Kumar Ojha, Munuana Arnold and Apoorva “Home Automation with Personal Assistant”, International Journal on Recent and Innovation Trends in Computing and Communication, vol. 5, issue 5, May 2017.

Palveen singh Bali, Gautam Parjapati, Rishab Ashwal, A.K. Raghav and Neeraj Gupta, “Intelligent Traffic Monitoring System”, Progress in Science and Engineering Research, vol. 3, issue 6, April 2015.

Anju, Neeraj Gupta and Arun Kumar Singh, “Home Automation Using IoT with Raspberry Pi”, International Journal for Research in Applied Science & Engineering Technology, vol. 4, issue 5, May 2016.

Downloads

Published

2021-05-30

Issue

Vol. 9 No. 3 (2021): International Journal of Innovative Research in Computer Science and Technology (May) 2021

Section

Articles

How to Cite

IoT Based Intelligent Traffic Management and Violators Recognition System . (2021). International Journal of Innovative Research in Computer Science & Technology, 9(3), 66–69. Retrieved from https://acspublisher.com/journals/index.php/ijircst/article/view/11489