%0 Dataset
%T CPU Time Dataset for DCIS Computation in the Connected Vehicle Platooning Example
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/332af69b-c46c-4e47-9bf1-357469fcaa32
%W NCDC
%A yang li ren
%A ye lin tao
%K Connected vehicle platooning;distributed controlled invariant set;CPU time;scalability
%X This dataset corresponds to Fig. 2 of the paper and records the CPU time for computing distributed controlled invariant sets (DCISs) in the connected vehicle platooning example as the number of vehicles varies. The data are generated from a heterogeneous longitudinal platooning model, where each vehicle state consists of the incremental headway Δh and incremental velocity Δv, and the control input is the incremental driving force ΔF. The example samples vehicle parameters, linearizes the continuous-time dynamics, discretizes the model with a 0.05 s sampling period, and solves a linear-programming-based DCIS synthesis problem under prescribed safety sets, input constraints, and information structures. The dataset supports scalability and computational-complexity evaluation of distributed safety-control algorithms for sparse interconnected systems.