DTCMS: Dynamic traffic congestion management in Social Internet of Vehicles (SIoV)

With the augmentation of traffic exponentially, we observe that traffic congestion does not guarantee road safety or enhance the driving experience. In the recent past, Social Internet of Vehicles (SIoV), a social network paradigm permits social relationships among every vehicle in the network or wi...

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Bibliographic Details
Published in:	Internet of things (Amsterdam. Online) Vol. 16; p. 100311
Main Authors:	Roopa, M.S., Ayesha Siddiq, S., Buyya, Rajkumar, Venugopal, K.R., Iyengar, S.S., Patnaik, L.M.
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01-12-2021
Subjects:	Dynamic traffic control Social Internet of Vehicles (SIoV) Social relationships Traffic congestion management Social relationships Dynamic traffic control Social Internet of Vehicles (SIoV) Traffic congestion management
Online Access:	Get full text
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Summary:	With the augmentation of traffic exponentially, we observe that traffic congestion does not guarantee road safety or enhance the driving experience. In the recent past, Social Internet of Vehicles (SIoV), a social network paradigm permits social relationships among every vehicle in the network or with any road infrastructure to render a radically useful environment. SIoV is beneficial for the drivers, in improving road safety, avoiding mishaps, and providing a friendly-driving experience. In this paper, we propose a traffic scheduling algorithm to gain the maximum throughput for the flow of vehicles at a road intersection with the formation of social relationships among the vehicles and with the Road Side Units (RSUs). The algorithm estimates the flow rate of vehicles for lanes at the intersections exploiting the volume of traffic moving through the given road. A condition matrix is designed for the consistent movement of traffic considering different routes on the road segments. Social relationships are devised on various aspects of travel needs for a safe, agile, and better driving experience. Simulation results illustrate the efficacy of the proposed scheme with high traffic throughput, service rate and reduce the total travelling time, delay time, and average waiting time in comparison with Dynamic Throughput Maximization Framework and Adaptive Traffic Control Algorithm.
ISSN:	2542-6605 2542-6605
DOI:	10.1016/j.iot.2020.100311