IoT Based Real Time Traffic Monitoring System Using M/G/1 Queuing Research | Zendy

Charushila Raskar | Zendy; Shikha Nema | Zendy

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IoT Based Real Time Traffic Monitoring System Using M/G/1 Queuing Research

Author(s) -

Charushila Raskar,

Shikha Nema

Publication year - 2019

Publication title -

international journal of engineering and advanced technology

Language(s) - English

Resource type - Journals

ISSN - 2249-8958

DOI - 10.35940/ijeat.f9397.088619

Subject(s) - queueing theory , computer science , traffic congestion , queue , worry , traffic optimization , traffic congestion reconstruction with kerner's three phase theory , transport engineering , floating car data , internet of things , network congestion , real time computing , computer network , computer security , engineering , network packet , psychology , anxiety , psychiatry

Vehicular Traffic crowding is paramount worry in urban cities. The use of technologies like Intelligent Transportation systems and Internet of Things can solve the problem of traffic congestion to some extent. The paper analyses the traffic conditions on a particular urban highway using queuing theory approach. It researches on performance framework such as time for waiting and queue length. The results can provide significant analysis to predict traffic congestion during peak hours. A congestion controlling action can be generated to utilize the road capacity fully during peak hours by using these results.

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