TrueTime-based Analysis of a Distributed Generalized Predictive Control Architecture for CACC Systems

The exchange of information between vehicles, which is based on the reliability of wireless communication systems, has an important role in reducing traffic accidents and improving traffic flow. One of the most-known functionalities based on vehicle-to-vehicle (V2V) communication is the cooperative adaptive cruise control (CACC) system, in which the vehicles travel in a platoon and communicate with each other at the same time. To obtain an improved stability of the traffic flow using CACC systems, in this paper, the adjustment of the distances between vehicles is achieved with the help of a distributed generalized predictive control (DGPC) strategy. Therefore, this paper proposes an analysis for the above-mentioned architecture using the TrueTime toolbox, which can simulate wireless communication networks and network nodes, providing a complete perspective of testing the control architecture.