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

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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 : http://ijsrset.com/IJSRSET196146

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