Experimental verification platform for connected vehicle networks

In this paper we propose a framework for experimentally evaluating the dynamics of connected vehicle networks using production vehicles. Connected vehicle networks contain human-driven connected vehicles which use wireless vehicle-to-vehicle (V2V) communication to transmit and receive messages, and connected automated vehicles that may use the received information to control their longitudinal motion. We use the developed framework to perform experiments on a connected vehicle network featuring two connected vehicles and one connected automated vehicle on public roads. The experiments show that by letting the connected automated vehicle utilize long-range connections we can benefit the traffic flow in connected vehicle networks. Lastly, we demonstrate that an analytical model of the connected vehicle network with matched parameters is able to reproduce the experimental results.