Open AccessIoT Based Real Time Traffic Monitoring System Using M/G/1 Queuing Research
Author(s) -
Charushila Raskar,
AUTHOR_ID,
Shikha Nema,
AUTHOR_ID
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 , traffic congestion , computer science , queue , worry , transport engineering , internet of things , traffic optimization , network congestion , traffic congestion reconstruction with kerner's three phase theory , intelligent transportation system , queue management system , real time computing , computer network , floating car data , 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.