IoT Based Real Time Traffic Monitoring System Using M/G/1 Queuing
Charushila Raskar1, Shikha Nema2
1Charushila Raskar, PhD Student at Usha Mittal Institute of Technology, SNDT Women’s University, Mumbai, India.
2Dr. Shikha Nema, Professor Department of Electronics and Telecommunication Engineering, Usha Mittal Institute of Technology, SNDT Women’s University Mumbai, India.

Manuscript received on February 05, 2019. | Revised Manuscript received on February 14, 2019. | Manuscript published on August 30, 2019. | PP: 3818-3822 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9397088619/19©BEIESP | DOI: 10.35940/ijeat.F9397.088619
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Abstract: 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.
Keywords: Vehicular Traffic congestion, Queuing theory, Traffic congestion order, Intelligent Transportation systems (ITS), Traffic density, M/M/1, M/G/1, G/G/1, G/G/k model, Traffic flow.