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Safe and Secure Control of Swarms of Vehicles by Small-World Theory

Author

Listed:
  • Nicola Roveri

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy)

  • Antonio Carcaterra

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy)

  • Leonardo Molinari

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy)

  • Gianluca Pepe

    (Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy)

Abstract

The present paper investigates a new paradigm to control a swarm of moving individual vehicles, based on the introduction of a few random long-range communications in a queue dominated by short-range car-following dynamics. The theoretical approach adapts the small-world theory, originally proposed in social sciences, to the investigation of these networks. It is shown that the controlled system exhibits properties of higher synchronization and robustness with respect to communication failures. The considered application to a vehicle swarm shows how safety and security of the related traffic dynamics are strongly increased, diminishing the collision probability even in the presence of a hacker attack to some connectivity channels.

Suggested Citation

  • Nicola Roveri & Antonio Carcaterra & Leonardo Molinari & Gianluca Pepe, 2020. "Safe and Secure Control of Swarms of Vehicles by Small-World Theory," Energies, MDPI, vol. 13(5), pages 1-28, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:5:p:1043-:d:325443
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    References listed on IDEAS

    as
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    3. Li, Xiaopeng & Ghiasi, Amir & Xu, Zhigang & Qu, Xiaobo, 2018. "A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 429-456.
    4. Lily Elefteriadou, 2014. "An Introduction to Traffic Flow Theory," Springer Optimization and Its Applications, Springer, edition 127, number 978-1-4614-8435-6, June.
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