Cloud-Enabled Vehicular Congestion Estimation: An ITS Application

Mahbadi, Milad and Pai, Manohara M.M. and Mallissery, Sanoop and Pai, Radhika M (2016) Cloud-Enabled Vehicular Congestion Estimation: An ITS Application. In: Canadian Conference on Electrical and Computer Engineering, 15/05/2016, Vancouver, British Columbia, Canada.

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—Increased traffic and hence congestion is a major problem in cities or urban areas. To mitigate this problem of congestion a real-time traffic density estimation model is essential. This research proposes one such model for estimating the traffic congestion level with the help of Vehicular Ad-hoc Network (VANET) and Cloud Computing. In this work, a novel architecture and algorithm has been proposed to estimate the density of vehicles on the road and the average speed. The fuzzy algorithm is then used to get the level of congestion. The algorithms are simulated using Network Simulator 3 (NS3) and Simulation of Urban Mobility (SUMO) to estimate the congestion level in an area of a city. The model proposed is deployed on Cloud and can be made available as Software as a Service (SaaS) in future

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Traffic Congestion, Density Estimation Model, VANET Cloud, Intelligent Transportation System.
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 15 Oct 2016 12:03
Last Modified: 15 Oct 2016 12:03

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