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Automatic Movable Smart Road Dividers - IOT Based Solution to Traffic Congestion Problems
Author(s) -
A J Keerthan,
H D Likhith,
H S Chetan,
K P Kiran,
Sumaiya Mn
Publication year - 2020
Publication title -
international journal of innovative science and research technology
Language(s) - English
Resource type - Journals
ISSN - 2456-2165
DOI - 10.38124/ijisrt20jun1024
Subject(s) - gridlock , traffic congestion , computer science , internet of things , computer network , path (computing) , computer security , real time computing , transport engineering , engineering , politics , political science , law
The street dividers are commonly utilized for separating the street for continuous and approaching traffic. This is useful in keeping the progression of traffic. For this situation, there is equal number of lanes for both approaching and continuous traffic. Be that as it may, in certain zones, such as in industrial or shopping zones the traffic for the most part streams a one way in the first part of the morning or night. The other roadside is unfilled or unused. It leads to time loss for public and congested driving conditions. We mean to assemble a shrewd street divider as far as a mechanized street divider which moves or move the path coordinating the surge in rush hour gridlock. Such kind of component of traffic framework spares time as well as fuel. It can include 1 more path based the traffic in the specific bearing. With the more intelligent application planned underneath, manual reliance and manual traffic relation is decreased. Like this a proposition of savvy traffic is worked in less, medium and more density in the rush hour gridlock will be appeared in IOT server in utilizing grap diagram. IoT refers to Internet of Things where real digitalization comes into the image. The sensors and Arduino boards are utilized. The sensors are placed on the dividers which sense the progression of traffic and it is refreshed to the web through Wi-Fi module associated. The traffic density will be appeared in IoT server in utilizing graph chart. It gives a superior answer to traffic issue.

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