Investigation of Intelligent Traffic Congestion Control Using IOT

International Journal of Electronics and Communication Engineering

© 2020 by SSRG - IJECE Journal

Volume 7 Issue 4

Year of Publication : 2020

Authors : Santhosh kumar G, Yamuna P, Mohan Raj B, Shafurul haseena H, Palanisamy A

10.14445/23488549/IJECE-V7I4P101

How to Cite?

Santhosh kumar G, Yamuna P, Mohan Raj B, Shafurul haseena H, Palanisamy A, "Investigation of Intelligent Traffic Congestion Control Using IOT," SSRG International Journal of Electronics and Communication Engineering, vol. 7,  no. 4, pp. 1-4, 2020. Crossref, https://doi.org/10.14445/23488549/IJECE-V7I4P101

Abstract:

In today's life, many vehicles were affected due to traffic jams. Transportation becomes a major problem in any country, the main reason for traffic jam is a mechanical fault in the engine, population increases and accidence. Now it can be overcome by the following methods. Here we use a sensor to detect the traffic jam that will reduce the time people spend waiting at a signal for hours. The system's main advantage is to avoid the human source or help and clearing the traffic jam automatically. Here automatic traffic jam avoidance method is used that has higher efficiency than the manual method. In this system, we propose a context-aware approach to find the current state and density of the traffic and dynamic management of traffic signals and environmental conditions. This system can be utilized the smart IOT technology and transmission of information to provide an efficient and accurate estimation of traffic density. Traffic jam is not only frustrating the people but also increase the air pollution and accidence.

Keywords:

Context-aware Approach, IOT technology, traffic signal controllers.

References:

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