Connected Autonomous Vehicle (CAV) networks represent an emerging cyber-physical system with significant potential to enhance vehicle safety, ease traffic congestion and positively impact the environment through the use of connected-cruise control technology (maintain a safe distance from vehicles ahead). With CAV, the broad scope of users (drivers) will expand to seniors and persons with disabilities, the number of autonomous vehicles and distance travelled on roads will increase, and the realization of autonomous driving will dramatically reduce the number of car crashes caused by human error. Demands for car repair services, medical services, and traffic police will decrease. Communication networks within CAV enable opportunities for greater situational awareness, collaborative decision-making, and improved control. The research problem of CAV has attracted considerable attention from industry, governments, and academics from different fields. These include automation, control, and communication.
It is evident that as the technology and complexity of autonomous vehicles evolve, several grand research challenges need to be addressed. For example, the current research focuses on fully automated autonomous vehicles. However, this is not the case with the first generation of these systems. The manually driven vehicles will share the roads and be part of the CAV. Then, there are a number of challenges that completely affect the safety and the use of the CAV. From the human factors’ perspective, the main challenge is to coordinate the manually driven vehicles in the network. The communication links transfer the data (velocity and acceleration) between the autonomous vehicles in the CAV. It is known that there is an information time-delay within these links, which represents the time it takes information to propagate from one vehicle to another. Then, from the cyber perspective, the main challenges are the presence of motion information delay that limits the accessibility to timely and accurate information necessary for synchronized control computations and securing the automated vehicles from malicious cyber-attacks.
This webinar focuses on fault detection, localization, and mitigation of CAV platoons considering time-delay, unknown disturbances, and human driven vehicles using transmissibility operators. Transmissibility operators are mathematical models that relates a subset of a system's outputs to another subset of outputs of the same system without knowledge of the external excitation or the dynamics of the system.