Sensors Systems for Traffic Congestion Reduction Methodologies

Nowadays the number of vehicles on the road has been expanded exponentially, but the limitations of roads and transportation frameworks have not created in a comparable method to effectively adapt with the number of vehicles going on them. Because of this, road congestion has expanded around the wor...

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Bibliographic Details
Published in2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) pp. 452 - 455
Main Authors Bikku, Thulasi, Narayana, V. Lakshman, Gopi, Arepalli Peda, Khadherbhi, Sk. Reshmi
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2019
Subjects
Data Analytics
Remote sensors
Road Transport
sensor systems
Traffic blockage
Traffic examination
Traffic information
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Summary:Nowadays the number of vehicles on the road has been expanded exponentially, but the limitations of roads and transportation frameworks have not created in a comparable method to effectively adapt with the number of vehicles going on them. Because of this, road congestion has expanded around the world. Sensor systems have increased by expanding consideration in rush hour traffic identification and maintaining a strategic distance from heavy traffic. WSNs are extremely smart because of their quicker exchange of data, simple establishment and for being more affordable contrasted with other systems. Remote sensor systems are an innovation which has assumed an enormous job empowering smarter city urban communities is utilizing this innovation to accumulate information identified with movement. The goal is to have an entire framework that empowers the observing of activity practices so choices on city advancement can be made smarter. This paper provides a survey on road traffic congestion control with the help of sensors which communicate with other vehicles nearby for avoiding traffic as well as road accidents. This paper performs a survey on various techniques on road traffic reduction methods of road accidents using sensors.
DOI:10.1109/I-SMAC47947.2019.9032429