Traffic Dynamic Model for Attacked Information Propagation under V2V Communication Networks

The combined effect of network security threats and functional security threats leads to great hidden information security risks in the vehicle. When a vehicle is attacked and out of control, it will affect the vehicle network communication and traffic flow, resulting in traffic accidents. The key to ensuring the safety of intelligent transportation systems is to understand the spatio-temporal propagation characteristics of communication information distribution. Therefore, this paper focuses on the impact of vehicle-mounted information on the traffic network caused by the out-of-control transmission, and builds a dynamic model of vehicle networking network transmission and traffic flow coupling. For the real-time status of the traffic network in simulation experiments, it conducts in-depth research on traffic congestion caused by network security issues by traffic numerical indicators such as travel speed and waiting time.