Manuscript Number : IJSRSET196146

Adaptive Traffic Management System Using IoT and Machine Learning

Authors(5) :-Aditi Yadav, Vaishali More, Neha Shinde, Manjiri Nerurkar , Nitin Sakhare

India is a developing country. Increase in personal vehicles comes with the development of a country parallely. This has led to rise in congestion in large cities. So, we need a better traffic management system. The purpose of this project is to create a traffic system which is adaptive to the present traffic scenario in a lane. Usually, we have fixed average waiting time for all lanes. This project suggests to change the average waiting time by monitoring the number of vehicles in a lane. The data will be sent to central system through internet, which will decide the timing for signal according to the dumped program. This project also, suggests implementing congestion lights at previous intersections, so that drivers can change lanes at the situation of congestion. The system is useful in emergencies and it also, helps in reducing pollution and traffic congestion.

Authors and Affiliations

Aditi Yadav
Department of Computer Engineering, Vishwakarma Institute of Information and Technology, Pune, Maharashtra, India
Vaishali More
Department of Computer Engineering, Vishwakarma Institute of Information and Technology, Pune, Maharashtra, India
Neha Shinde
Department of Computer Engineering, Vishwakarma Institute of Information and Technology, Pune, Maharashtra, India
Manjiri Nerurkar
Department of Computer Engineering, Vishwakarma Institute of Information and Technology, Pune, Maharashtra, India
Nitin Sakhare
Assistant Professor, Department of Computer Engineering, Vishwakarma Institute of Information and Technology, Pune, Maharashtra, India

Camera Sensor, TensorFlow, Waiting Time, Traffic management, min max fairness, AIMD , PCA

  1. Ankit Dubey, Mayuri Lakhani, Shivansh Dave, Jignesh J. Patoliya, "Internet of Things based Adaptive Traffic Management System as a part of Intelligent Transportation System (ITS)", IEEE 2018.
  2. Zahra Zamani, Mohammad Hossein Saraee, Mahmoud Pourmand ," Application of Data Mining in Traffic Management: Case of City of Isfahan", IEEE 2010.
  3. Celine Jacob, Baher , "Abdulhai Integrated Traffic Corridor Control Using Machine Learning", IEEE 2005.
  4. Sou?ene Djahel, Mazeiar Salehie, Irina Tal, Pooyan Jamshidi, "Adaptive Traf?c Management for Secure and Ef?cient Emergency Services in Smart Cities", IEEE PerCom conference 2013.
  5. Sonali P. Kshirsagar, Priyanka H. Mantala, Gayatri D. Parjane, Kalyani G. Teke, "Intelligent Traffic Management based on IoT", International Journal of Computer Applications (0975 - 8887) 2017.
  6. Pranav Maheshwari, Deepanshu Suneja, Praneet Singh, Yogeshwar Mutneja,"Smart Traffic Optimization Using Image processing",IEEE 2015
  7. Sabeen Javaid, Ali Sufian, Saima Pervaiz and Mehak Tanveer,"Smart Traffic Management System Using Internet of Things",IEEE 2018.
  8. M Febrian Rachmadi, Faris Al Afif, Wisnu Jatmiko, Petrus Mursanto, Manggala E A, and M Anwar Ma'sum, "Adaptive Traffic Signal Control System Using Camera Sensor and Embedded System", IEEE (2011)
  9. Megha C. Narhe, Dr.M.S.Nagmode ,"Vehicle Counting using Video Image Processing ",IJCAT 2014.
  10. Karan A Shah, Jasmine Jha2,"Improvement of Traffic Monitoring System by Density and Flow Control for Indian Road System Using IoT ".
  11. Luca Studer, Misagh Ketabdari, and Giovanna Marchionni, "Analysis of Adaptive Traffic Control Systems Design of a Decision Support System for Better Choices", IEEE 2015.
  12. Vittorio Astarita, Vincenzo Pasqual eGiofr`e, Giuseppe Guido, Alessandro Vitale,"The Use of Adaptive Traf?c Signal Systems Based on Floating Car Data ", IEEE 2017.
  13. Y M Jagadeesh, G. Merlin Suba, S Karthik, and K Yokesh, "Smart Autonomous Traffic Light Switching by Traffic Density Measurement through Sensors" ,IEEE 2015.
  14. K.Ranjin,A.Kanthimathi Y.Yasmine ,"Design of Adaptive Road Traffic Control System through Unified Modeling Language",IEEE 2017.
  15. Prabira Kumar Sethy ,Pramodini Bidhar ,Jagamohan Padhi ,4Santi Kumari Behera ,"Realtime Implementation of Odd-Even Traffic Control Formula Using Arduino ",ICPCIT-2016.
  16. Ruhaizan Fazrren Ashraff Mohd Nor, Fadhlan H. K. Zaman ,Shamry Mubdi,"Smart Traffic Light for Congestion Monitoring using LoRaWAN",IEEE 2017.
  17. Juntao Gao, Yulong Shen, Jia Liu, Minoru Ito and Norio Shiratori, "Adaptive Traf?c Signal Control: Deep Reinforcement Learning Algorithm with Experience Replay and Target Network" ,IEEE 2017
  18. Sahar Araghi, Abbas Khosravi, Michael Johnstone, Doug Creighton,"Intelligent Traffic Light Control of Isolated Intersections Using Machine Learning Methods" ,IEEE 2013.
  19. Prithvinath Manikonda, Anil Kumar Yerrapragada and Sai Sasank Annasamudram, "Intelligent Traffic Management System" ,IEEE 2011.
  20. Takashi NAKATSUJI, Syunichi SEKI, Syuestu SHIBUYA, Terutoshi KAKU, "Artificial Intelligence Approach for Optimizing Traffic Signal Timings on Urban Road Network" ,IEEE 199
  21. V.M Baskaran, S.K Tiong, M.Z Jamaludin, "Analysis of Real-Time Multiple Source Video Streaming via Wireless 5.8 GHz for Intelligent Traffic Management System" ,IEEE 2005.

Publication Details

Published in : Volume 6 | Issue 1 | January-February 2019
Date of Publication : 2019-01-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 216-229
Manuscript Number : IJSRSET196146
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Aditi Yadav, Vaishali More, Neha Shinde, Manjiri Nerurkar , Nitin Sakhare, " Adaptive Traffic Management System Using IoT and Machine Learning , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 1, pp.216-229, January-February-2019. Available at doi : https://doi.org/10.32628/IJSRSET196146      Journal URL : https://res.ijsrset.com/IJSRSET196146

Article Preview