mca 18(13): e1

Research Article

The Effect of Congestion Control Model on Congested Traffic Flow in Vehicular Ad Hoc Networks (VANETs)

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  • @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={3},
        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
Adams A.K. Azameti1,*, Ferdinand A. Katsriku2, Peter Chong3, Jamal D. Abdulai2
  • 1: University of Ghana, Computer Science Dept., aakazameti@st.ug.edu.gh
  • 2: University of Ghana, Computer Science Dept.
  • 3: Auckland University of Technology, Electrical & Electronic Eng. Dept.
*Contact email: adamsblessed7@gmail.com

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.