Modeling and stabilization control for heterogeneous traffic flow model considering cyberattacks

Hongxia Ge, Lizhen Lin and Rongjun Cheng

Physica A: Statistical Mechanics and its Applications, 2023, vol. 622, issue C

Abstract: With the popularity of computer internet technology in transportation, connected automated vehicles (CAVs) maintain the traffic flow stability by sharing real-time driving information. However, the open-access environment makes CAVs vulnerable to attacks. Hackers transmit erroneous driving information to drivers, which lead to changes in their driving behavior and cause potential traffic hazards. Based on the summary of existing essays, this paper classifies cyberattacks into three types: false messages, repeat/delay and collusion attack. In addition, mixed flow is a common form of traffic. This paper proposed an extended heterogeneous traffic flow model considering cyberattacks, judgments the stability of the CAVs platoon and designs the controller for stability control. Subsequently, the stability of the new model is analyzed theoretically, and the stability condition of the new model is obtained. The simulation results show that the when CAVs platoon attacked by uncertain types and locations, it can still maintain the stability of the team and reduce the time for the team to return to equilibrium.

Keywords: Car-following model; Heterogeneous traffic flow; Connected automated vehicles; Cyberattacks; Stability analysis; Control strategy (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:622:y:2023:i:c:s0378437123003540

DOI: 10.1016/j.physa.2023.128799

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