Image Processing and IoT Based Dynamic Traffic Management System

Authors

  • Nitin N. Sakhare  Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
  • Subhash B. Tatale  Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
  • Dr. S.R. Sakhare  Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
  • Hemant Dusaane  Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
  • Mamta Puri  Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
  • Pratika Girme  Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
  • Rutuja Sankpal  Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
  • Padmavati Ghule  Department of Computer Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India

DOI:

https://doi.org//10.32628/IJSRSET207230

Keywords:

Internet of Things (IoT), Adaptive traffic management system, Image processing, OpenCV, Average waiting time, Camera Sensor

Abstract

Due to rise in number of vehicles the traffic management has become a major problem. Manual traffic system is not efficient. This paper presents adaptive traffic management system using Internet of Things (IoT) and Image processing. The proposed system has capability to analyze real time data using image processing. Using cameras, different lanes are monitored constantly. The data obtained from different lanes are examined. Detection and counting of number of vehicles in each lane is done by using image processing. The count from each lane is sent to the central processing unit. According to the count of vehicles algorithm calculates waiting time for each lane, then the signal lights will be decided. This system reduces the average waiting time and increases the efficiency of traffic clearance. The system also reduces the pollution due CO2 emission and useful in emergency situations, thus being adaptive traffic management using Internet of Things (IoT).

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-04-30

Issue

Volume 7, Issue 2, March-April-2020

Section

Research Articles

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How to Cite

[1]
Nitin N. Sakhare, Subhash B. Tatale, Dr. S.R. Sakhare, Hemant Dusaane, Mamta Puri, Pratika Girme, Rutuja Sankpal, Padmavati Ghule, " Image Processing and IoT Based Dynamic Traffic Management System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 2, pp.180-188, March-April-2020. Available at doi : https://doi.org/10.32628/IJSRSET207230