Open AccessIOT Based Traffic Management System
Author(s) -
S Shashank,
P.Sasi Kiran,
D Nischay,
Vinay Kumar M,
B. R. Vatsala,
C. Vidya Raj
Publication year - 2021
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit1217451
Subject(s) - raspberry pi , internet of things , tracking (education) , tracking system , transport engineering , computer science , management system , population , real time computing , geography , engineering , computer security , operations management , artificial intelligence , psychology , pedagogy , demography , sociology , kalman filter
In 2014, 54% of the total global population was urban residents. The prediction was a growth of nearly 2% each year until 2020 leading to more pressure on the transportation system of cities. Cities should be making their streets run smarter instead of just making them bigger or building more roads. This leads to the proposed system which will use a Raspberry pi and Camera for tracking the number of vehicles leading to time-based monitoring of the system.