Auto Traffic Management System



EOI: 10.11242/viva-tech.01.04.081

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Citation

Adit Shirodkar, Sumedh Tandel, Shlok Raut,Bhagyashree Vaidya, "Auto Traffic Management System", VIVA-IJRI Volume 1, Issue 4, Article 81, pp. 1-6, 2021. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.

Abstract

Road traffic jam becomes a serious issue for highly crowded metropolitan cities. India is that the second most populated country within the world and may be a fast growing economy. it's facing terrible road congestion within the cities. consistent with Times of India about 30 percent of deaths are caused thanks to delayed ambulance to succeed in at hospital. In proposed system we try to scale back the delay for the ambulance. To smoothen the ambulance movement, we come up with “Auto Traffic Management System”. We try to supply the green signals for ambulance by switching the signals. We are getting to use the technologies like RFIDs. Whenever signal detects the ambulance almost signal, then signal switches to green. As this technique is fully automated, it recognize the ambulance and control traffic signals. this technique controls traffic signal and saves the time in emergency period. Also we've automated camera which can help in monitoring the traffic jam . Thus it act as a life saver project.

Keywords

Emergency Vehicles, IR Blaster, RFID Tags, Servo Motor, smart city, traffic lights recognition.

References

  1. Faldu Prayushi, Nishant Doshi, and Reema Patel. "Real Time Adaptive Traffic Control System: A Hybrid Approach." 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS). IEEE, 2019.
  2. Dutta, Arjun, Abhisikta Chakraborty, Amit Kumar, Anirup Roy, Swarnabha Roy, Debarpita Chakraborty, Himadri Nath Saha et al. "Intelligent Traffic Control System: Towards Smart City." In 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pp. 1124-1129. IEEE, 2019.
  3. Ali Abduladhem Abdulkareem and Hussein Alaa Hussein. "Traffic lights system based on RFID for autonomous driving vehicle." 2017 Annual Conference on New Trends in Information & Communications Technology Applications (NTICT). IEEE, 2017.
  4. Naik Tejas, R. Roopalakshmi, N. Divya Ravi, Pawdhan Jain, and B. H. Sowmya. "RFIDbased smart traffic control framework for emergency vehicles." In 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT), pp. 398- 401. IEEE, 2018
  5. Ameeth R. “Traffic Control System using RFID Technology,” National Conference on Communication and Image Processing.
  6. M.S.D.Sai Varma, P.Prabhu Suneel, G.Siva Reddy, N.Veerendra Kumar, M.Baji Babu, “INTELLIGENT TRAFFIC CONTROL SYSTEM FOR EMERGENCY VEHICLE USING RF TECHNOLOGY,” International Research Journal of Engineering and Technology (IRJET), Volume: 07 Issue: 04 Apr 2020.
  7. Jyothi, B. Naga. "Smart traffic control system using ATMEGA328 micro controller and arduino software." In 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES), pp. 1584-1587. IEEE, 2016.
  8. Saad Amani A., Heshem A. El Zouka, and Sadek A. Al-Soufi. "Secure and intelligent road traffic management system based on RFID technology." In 2016 World Symposium on Computer Applications & Research (WSCAR), pp. 41-46. IEEE, 2016.
  9. Saradha, B. Janani, G. Vijayshri, and T. Subha. "Intelligent traffic signal control system for ambulance using RFID and cloud." In 2017 2nd International Conference on Computing and Communications Technologies (ICCCT), pp. 90-96. IEEE, 2017.
  10. Meghana, B. S., Santoshi Kumari, and T. P. Pushphavathi. "Comprehensive traffic management system: Real-time traffic data analysis using RFID." In 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA), vol. 2, pp. 168-171. IEEE, 2017.
  11. Islam Md Rokebul, Nafis Ibn Shahid, Dewan Tanzim ul Karim, Abdullah Al Mamun, and Md Khalilur Rhaman. "An efficient algorithm for detecting traffic congestion and a framework for smart traffic control system." In 2016 18th International Conference on Advanced Communication Technology (ICACT), pp. 802-807. IEEE, 2016. 34
  12. Eamthanakul Busarin, Mahasak Ketcham, and Narumol Chumuang. "The traffic congestion investigating system by image processing from cctv camera." In 2017 International Conference on Digital Arts, Media and Technology (ICDAMT), pp. 240-245. IEEE, 2017.
  13. Hasan Md Munir, Gobinda Saha, Aminul Hoque, and Md Badruddoja Majumder. "Smart traffic control system with application of image processing techniques." In 2014 International Conference on Informatics, Electronics & Vision (ICIEV), pp. 1-4. IEEE, 2014.
  14. Chowdhury Partha Narayan, Tonmoy Chandra Ray, and Jia Uddin. "A Vehicle Detection Technique for Traffic Management using Image Processing." In 2018 International Conference on Computer, Communication, Chemical, Material and Electronic Engineering (IC4ME2), pp. 1-4. IEEE, 2018.
  15. Mrs.EShanthini.E, Sreeja.G, “IMPROVED TRAFFIC CONTROL SYSTEMS FOR EMERGENCY VEHICLE CLEARANCE AND STOLEN VEHICLE DETECTION,” International Research Journal of Engineering and Technology (IRJET), Volume: 03 Issue: 03 Mar-2016.
  16. Almuraykhi Khalid M., and Muhammad Akhlaq. "STLS: Smart Traffic Lights System for Emergency Response Vehicles." In 2019 International Conference on Computer and Information Sciences (ICCIS), pp. 1-6. IEEE, 2019.
  17. Khan Ajmal, Farman Ullah, Zeeshan Kaleem, Shams Ur Rahman, Hafeez Anwar, and You-Ze Cho. "EVP-STC: Emergency vehicle priority and self-organising traffic control at intersections using Internet-of-things platform." IEEE Access 6 (2018): 68242-68254.
  18. Naseer Mohammad Faisal, Khan Bahadar Khan, Muhammad Sannan Khaliq, and Muhammad Raheel. "Smart Road-Lights and Auto Traffic-Signal Controller with Emergency Override." In International Conference on Intelligent Technologies and Applications, pp. 526- 537. Springer, Singapore, 2018.