SMART ROAD TRAFFIC MANAGEMENT SYSTEM

Authors

  • Deepak V. Professor, Department of CSE, RISE Krishna Sai Prakasham Group of Institutions, Ongole, AP, India Author
  • Dr. Christeena Joseph Professor, Department of CSE, RISE Krishna Sai Prakasham Group of Institutions, Ongole, AP, India Author

DOI:

https://doi.org/10.61841/9qpbmt56

Keywords:

Traffic Management, IoT, RFID, GSM Module, IR sensors

Abstract

In this paper, the smart way of traffic control is achieved. The proposed system uses a traffic module that is connected to the Arduino. The module is implemented in a “+” junction where the quick movement of vehicles can be obtained. In the proposed system, components like Arduino Mega, Traffic Module, Wi-Fi Module, LED (light-emitting diodes), and IR sensors are used. The system is based on IoT so that the traffic signals can be monitored continuously. This is implemented in the movement of the ambulance during high traffic hours so that the ambulance can reach in time to its desired location without getting stuck in the traffic for a long time. Also, the changes in the traffic module can be observed continuously. 

Downloads

Download data is not yet available.

References

1. Bilal Ghazal “Smart Traffic Light Control(2016).

2. Rajendra, Kanade Pooja, and Atul Srivastava. "Traffic load minimisation using IoT." (2019).

3. Amnesh Goel, Sukanya Ray, “Intelligent Traffic Light System to Prioritized Emergency Purpose Vehicles based on Wireless Sensor Network(2012).

4. Ayush Kr. Mittal, Deepika Bhandari, “A Novel Approach to Implementing Green Wave Systems and Detection of Stolen Vehicles(2012).

5. Mohammad S. Jassas, Abdullah A. Qasem, and Qusay H. Mahmoud, “A Smart System Connecting e-Health Sensors and the Cloud(2015).

6. Dhaval Prakash Gupta, Pratyush Mishra, “Accident Detection Module and IOT-Based Traffic Light Control for Smooth Passage of Emergency Vehicles(2018).

7. ADI ANIL KUMAR, GAYATRI SHENWAI, “A Novel System for Traffic Control Based on Emergency Vehicle Clearance, Congestion Control, and Anti-Theft Assistance(2016).

8. Balaji Parasumanna Gokulan, “Distributed Geometric Fuzzy Multiagent Urban Traffic Signal Control(2010).

9. A. Arockia Selvaraj, K. Saminathan, “Implementing Smart Control of Emergency Vehicles Using Image Processing(2017).

10. R. Surshkumar, R. Balaji, “ADVANCED TRAFFIC CLEARANCE SYSTEM FOR AMBULANCE CLEARANCE USING RF-434 MODULE(2016).

11. Dipti Srinivasan, Min Chee Choy, “Neural Networks for Real-Time Traffic Signal Control(2006).

12. Ms. Pooja Mahajan, Ms. Harshada Jagtap, “Traffic Control System" (2018).

13. Dang-Nhac LU, Thi-Hau NGUYEN, “A Novel Traffic Routing Method Using Hybrid Ant Colony System Based on Genetic Algorithm(2017).

14. Mounib Khanafer, Mouhcine Guennoun, “WSN Architectures for Intelligent Transportation Systems (2009).

15. Malik Tubaishat, Yi Shang, “Adaptive Traffic Light Control with Wireless Sensor Networks (2007).

16. Maharaja, D., & Shaby, M. (2017). “Empirical Wavelet Transform and GLCM Features Based Glaucoma Classification from Fundus Image.” International Journal of MC Square Scientific Research, 9(1), 78-85.

17. Saravanan, N. (2013). “Hand Geometry Recognition based on Optimized K-means Clustering and Segmentation Algorithm.” International Journal of MC Square Scientific Research, 5(1), 11-14.

Downloads

Published

30.04.2020

Issue

Vol. 24 No. 2 (2020): 24 (2) 2020

Section

Articles

License

Copyright (c) 2020 AUTHOR

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

How to Cite

V., D., & Joseph, C. (2020). SMART ROAD TRAFFIC MANAGEMENT SYSTEM. International Journal of Psychosocial Rehabilitation, 24(2), 5655-5658. https://doi.org/10.61841/9qpbmt56