Open AccessAdaptive Traffic Management System Using IoT and Machine Learning
Author(s) -
Abhishek Yadav,
Vaishali More,
Neha Shinde,
Manjiri Nerurkar,
Nitin N. Sakhare
Publication year - 2019
Publication title -
international journal of scientific research in science, engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-1990
pISSN - 2394-4099
DOI - 10.32628/ijsrset196146
Subject(s) - traffic congestion , computer science , internet of things , transport engineering , the internet , real time computing , computer security , engineering , operating system
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.