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Vehicular Ad Hoc Network (VANET) Connectivity Analysis of a Highway Toll Plaza

Author

Listed:
  • Saajid Hussain

    (School of Computer Science and Engineering, Dalian University of Technology Liaoning, Dalian 116024, China)

  • Di Wu

    (School of Computer Science and Engineering, Dalian University of Technology Liaoning, Dalian 116024, China)

  • Sheeba Memon

    (School of Information Science and Engineering, Central South University, Hunan, Changsha 410083, China)

  • Naadiya Khuda Bux

    (School of Information Science and Engineering, Central South University, Hunan, Changsha 410083, China)

Abstract

The aim of this paper was to study issues of network connectivity in vehicular ad hoc networks (VANETs) to avoid traffic congestion at a toll plaza. An analytical model was developed for highway scenarios where the traffic congestion could have the vehicles reduce their speed instead of blocking the flow of traffic. In this model, nearby vehicles must be informed when traffic congestion occurs before reaching the toll plaza so they can reduce their speed in order to avoid traffic congestion. Once they have crossed the toll plaza they can travel on at their normal speed. The road was divided into two or three sub-segments to help analyze the performance of connectivity. The proposed analytical model considered various parameters that might disturb the connectivity probability, including traveling speed, communication range of vehicles, vehicle arrival rate, and road length. The simulation results matched those of the analytical model, which showed the analytical model developed in this paper is effective.

Suggested Citation

  • Saajid Hussain & Di Wu & Sheeba Memon & Naadiya Khuda Bux, 2019. "Vehicular Ad Hoc Network (VANET) Connectivity Analysis of a Highway Toll Plaza," Data, MDPI, vol. 4(1), pages 1-18, February.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:1:p:28-:d:204683
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    References listed on IDEAS

    as
    1. Eirini Eleni Tsiropoulou & John S. Baras & Symeon Papavassiliou & Surbhit Sinha, 2017. "RFID-based smart parking management system," Cyber-Physical Systems, Taylor & Francis Journals, vol. 3(1-4), pages 22-41, October.
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