Adaptive Traffic Management System Using IoT and Machine Learning

Authors

  • 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

DOI:

https://doi.org//10.32628/IJSRSET196146

Keywords:

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

Abstract

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.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2019-01-30

Issue

Volume 6, Issue 1, January-February-2019

Section

Research Articles

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Copyright (c) IJSRSET

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

How to Cite

[1]
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