Under the Vehicle-to-Vehicle (V2V) environment, connected vehicles (CVs) can share the traveling information with each other to keep the traffic flow stable. However, the open network cooperation environment makes CVs vulnerable to cyberattacks, which leads to changes in driving behavior. The existing theories divide cyberattacks into three types: bogus information, replay/delay and collusion cyberattacks. In addition, the mixed flow consisting of truck and car is a common form of road traffic. In order to clarify the potential impact of cyberattacks on mixed traffic flow, this paper proposes an extended car-following model considering cyberattacks under CVs environment. Subsequently, the stability of the model is analyzed theoretically, and the stability condition of the model is obtained. The numerical simulation is carried out and the result shows that the cyberattacks lead to different degrees of traffic behavior hazards such as queue time extension, congestion and even rear end collision. Among them, cooperative attack is the most serious.

中文翻译：

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考虑网络攻击的车联网环境下异构交通流模型

在车对车（V2V）环境下，联网车辆（CV）可以相互共享行驶信息，以保持交通流量稳定。然而，开放的网络合作环境使得 CV 容易受到网络攻击，从而导致驾驶行为发生变化。现有理论将网络攻击分为三种类型：虚假信息、重放/延迟和共谋网络攻击。此外，卡车和汽车的混流是一种常见的道路交通形式。为了阐明网络攻击对混合交通流的潜在影响，本文提出了一种在 CVs 环境下考虑网络攻击的扩展跟驰模型。随后对模型的稳定性进行了理论分析，得到了模型的稳定性条件。数值模拟结果表明，网络攻击导致排队时间延长、拥堵甚至追尾等不同程度的交通行为危害。其中，协同攻击最为严重。