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Creating complex congestion patterns via multi-objective optimal freeway traffic control with application to cyber-security

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  • Reilly, Jack
  • Martin, Sébastien
  • Payer, Mathias
  • Bayen, Alexandre M.

Abstract

This article presents a study on freeway networks instrumented with coordinated ramp metering and the ability of such control systems to produce arbitrarily complex congestion patterns within the dynamical limits of the traffic system. The developed method is used to evaluate the potential for an adversary with access to control infrastructure to enact high-level attacks on the underlying freeway system. The attacks are executed using a predictive, coordinated ramp metering controller based on finite-horizon optimal control and multi-objective optimization techniques. The efficacy of the control schemes in carrying out the prescribed attacks is determined via simulations of traffic network models based on the cell transmission model with onramps modeled as queue buffers. Freeway attacks with high-level objectives are presented on two illustrative examples: congestion-on-demand, which aims to create precise, user-specified pockets of congestion, and catch-me-if-you-can, which attempts to aid a fleeing vehicle from pursuant vehicles.

Suggested Citation

  • Reilly, Jack & Martin, Sébastien & Payer, Mathias & Bayen, Alexandre M., 2016. "Creating complex congestion patterns via multi-objective optimal freeway traffic control with application to cyber-security," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 366-382.
    • Handle: RePEc:eee:transb:v:91:y:2016:i:c:p:366-382
    DOI: 10.1016/j.trb.2016.05.017
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    2. Zheng, Liang & Bao, Ji & Xu, Chengcheng & Tan, Zhen, 2022. "Biobjective robust simulation-based optimization for unconstrained problems," European Journal of Operational Research, Elsevier, vol. 299(1), pages 249-262.
    3. Lopez, Anthony & Jin, Wenlong & Al Faruque, Mohammad Abdullah, 2020. "Security analysis for fixed-time traffic control systems," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 473-495.
    4. Haddad, Jack & Mirkin, Boris, 2020. "Resilient perimeter control of macroscopic fundamental diagram networks under cyberattacks," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 44-59.
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    6. Wang, Pengcheng & Yu, Guizhen & Wu, Xinkai & Qin, Hongmao & Wang, Yunpeng, 2018. "An extended car-following model to describe connected traffic dynamics under cyberattacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 496(C), pages 351-370.

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