IOT Based Online Traffic Congestion control and monitoring system paper

March 2019
Vol-5, Issue-2
Paper ID: 9703
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Electronics and communication engineering
Keywords
iot rfid nrf
Abstract
In today's world, traffic jams during rush hours is one of the major concerns. During rush hours, emergency vehicles like Ambulances, Police cars and Fire Brigade trucks get stuck in jams. Due to this, these emergency vehicles are not able to reach their destinations in time, resulting into a loss of human lives. In order to overcome these situations green wave management system is implemented which is used to provide clearance to any emergency vehicle by turning all the red lights to green on the path of the emergency vehicle, and hence providing a complete green wave to the desired vehicle. It is an autonomous system which will help in the identification of emergency vehicle. It is a novel system which can be used to implement the concept of the green wave. The basic idea used for traffic management here is to control congestion by using a decision making algorithm which determines how the traffic light operates based on the information collected from RFID devices. The objective of this project is to propose an effective scheme for road traffic management which is fully automated and foolproof considering the rate of ever growing traffic in urban.

Author Information

# Name Institute / Affiliation
1 Kowsika.S prince shri venkateshwara padmavathy engineering college
2 monisha.k prince shri venkateshwara padmavathy engineering college
3 kamatchisundari.v prince shri venkateshwara padmavathy engineering college

How to Cite

Use the following formats to cite this article in your research.

APA Style
Kowsika.S, monisha.k, & kamatchisundari.v (2019). IOT Based Online Traffic Congestion control and monitoring system paper. International Journal of Advance Research and Innovative Ideas In Education, 5(2), 1224-1229.
MLA Style
Kowsika.S, et al. "IOT Based Online Traffic Congestion control and monitoring system paper." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, 2019, pp. 1224-1229.
IEEE Style
Kowsika.S, monisha.k, and kamatchisundari.v, "IOT Based Online Traffic Congestion control and monitoring system paper," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 2, pp. 1224-1229, 2019.
Vancouver Style
Kowsika.S, monisha.k, kamatchisundari.v. IOT Based Online Traffic Congestion control and monitoring system paper. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(2):1224-1229.
Harvard Style
Kowsika.S, monisha.k, & kamatchisundari.v (2019) 'IOT Based Online Traffic Congestion control and monitoring system paper', International Journal of Advance Research and Innovative Ideas In Education, 5(2), pp. 1224-1229.
Chicago Style
Kowsika.S, monisha.k, and kamatchisundari.v. "IOT Based Online Traffic Congestion control and monitoring system paper." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 1224-1229.
Turabian Style
Kowsika.S, monisha.k, and kamatchisundari.v. "IOT Based Online Traffic Congestion control and monitoring system paper." International Journal of Advance Research and Innovative Ideas In Education 5, no. 2 (2019): 1224-1229.

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