Research Article
The Effect of Congestion Control Model on Congested Traffic Flow in Vehicular Ad Hoc Networks (VANETs)
@ARTICLE{10.4108/eai.22-3-2018.154371, author={Adams A.K. Azameti and Ferdinand A. Katsriku and Peter Chong and Jamal D. Abdulai}, title={The Effect of Congestion Control Model on Congested Traffic Flow in Vehicular Ad Hoc Networks (VANETs)}, journal={EAI Endorsed Transactions on Mobile Communications and Applications}, volume={4}, number={13}, publisher={EAI}, journal_a={MCA}, year={2018}, month={3}, keywords={Ad Hoc Networks, Mobile Ad Hoc Networks, Sensor Networks, Vehicular Networks}, doi={10.4108/eai.22-3-2018.154371} }- Adams A.K. Azameti
Ferdinand A. Katsriku
Peter Chong
Jamal D. Abdulai
Year: 2018
The Effect of Congestion Control Model on Congested Traffic Flow in Vehicular Ad Hoc Networks (VANETs)
MCA
EAI
DOI: 10.4108/eai.22-3-2018.154371
Abstract
This study seeks to conduct analytical investigation into Congestion Control models to determine the effects of parameters inherent in mitigating traffic flow density in a congested network. The spatial temporal variations in the value of λ affects vehicular traffic flow. This study proposed a Congestion Control Model and perform simulation in MATLAB. In this model, vehicular density and number of vehicles were held constant while varying the value of λ from 1 to 10. The simulation result reveals the vehicle trajectories as the value of λ increases with time. The outcome of this study indicates that there is no need increasing the value of λ beyond 12, since further increases would only increase the number of vehicles leading to traffic jam. In principle, it is very important to use 1≤ λ ≤12 in designing traffic models in VANETs. The analytical result proved that the Congestion Control Model for the four-lane may be the most appropriate model to be adopted and use in designing VANETs networks.
Copyright © 2018 Adams A.K. Azameti et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
