  The use case of C-V2X for road safety requires real-time network connection
and information exchanging between vehicles. In order to improve the
reliability and safety of the system, intelligent networked vehicles need to
move cooperatively to achieve network optimization. In this paper, we use the
C-V2X sidelink mode 4 abstraction and the regression results of C-V2X network
level simulation to formulate the optimization of packet reception rate (PRR)
with fairness in the road safety scenario. Under the optimization framework, we
design a controlled mobility algorithm for the transmission node to adaptively
adjust its position to maximize the aggregated PRR using only one-hop
information. Simulation result shows that the algorithm converges and improve
the aggregated PRR and fairness for C-V2X mode broadcast messages.
