The rapid adoption of sensors has improved the communication capacity of vehicles, while connected vehicles are expected to become commercially available in the near future. In a connected vehicle environment, the dynamic continuous kinetic information on roadway could be readily available through sensors and internet of vehicular technologies. Nevertheless, in practice the vehicular networks may suffer from cyber-attacks, such that the perceived traffic data can deviate from the actual situation. Such potential risks may greatly worsen traffic condition. There is increasing need for developing a framework to control traffic flow effectively using continuous traffic information under cyber-attacks and connected vehicle environment. In this study, we propose an extended lattice model incorporating not only multiple connected vehicles but also the continuous delay feedback control signals. The stability condition is obtained based on the Hurwitz criteria and the $H_{\infty }$- norm. We further devise a continuous delay feedback controller to regularize the propagation of the enhanced lattice model in the case when the stability condition is not satisfied. The Bode-plot of transfer function shows that the stability region enhances with the continuous delayed feedback controller. We study how far ahead information about the downstream lattices should be integrated into the control process. Results show that the continuous traffic information and the controller contribute to mitigating traffic jam.

传感器的快速采用提高了车辆的通信能力，而互联车辆有望在不久的将来商业化。在互联的车辆环境中，可以通过传感器和车辆技术网络随时获得道路上的动态连续动力学信息。然而，在实践中，车载网络可能遭受网络攻击，使得感知到的交通数据可能偏离实际情况。这样的潜在风险可能会大大恶化交通状况。越来越需要开发一种框架，以在网络攻击和连接的车辆环境下使用连续的交通信息来有效地控制交通流量。在这个研究中，我们提出了一个扩展的格子模型，该模型不仅包含多个连接的车辆，而且还包含连续的延迟反馈控制信号。稳定条件是根据Hurwitz准则和$H_{\infty }$-规范。我们进一步设计了一个连续的延迟反馈控制器，以在不满足稳定性条件的情况下规范增强型晶格模型的传播。传递函数的波特图表明，随着连续延迟反馈控制器的出现，稳定区域得以增强。我们研究了有关下游晶格的超前信息应整合到控制过程中。结果表明，连续的交通信息和控制器有助于缓解交通拥堵。