Analysis and Initial Observations on Varying Penetration Rates of Automated Vehicles in Mixed Traffic Flow utilizing SUMO Understanding the effects of having automated vehicles in the future traffic scenarios is an important research topic that attracts a great deal of attention currently. The difficulty in studying this problem is the fact that real life measurement and testing of these scenarios can not be made as there are still a very small fraction of automated vehicles in the traffic. So analyzing and understanding the effects of mixed traffic requires extensive simulative analysis. In this paper we analyze this problem using real traffic data in combination with the opensource SUMO traffic simulation software. The traffic flow is modeled based on the measurement data from a section of the Austrian A2 motorway, while the effects of automated vehicles at various penetration rates is simulated and consequently some observation are made.

Control of Mixed Platoons Consist of Automated and Manual Vehicles Platooning has a great potential for improving highway traffic flow. Platooning research focuses on fully automated platoons. However, in the near future traffic will be mixed and will consist of automated and manually driven vehicles. This work introduces a new concept of mixed platoons, i.e., platoons consist of automated and manual vehicles. In a mixed platoon the automated vehicles are controlled as part of the mixed traffic, using global sight on traffic. This way the mixed traffic flow can be optimized using the automated vehicles. The mixed platoons control developed in this paper implements the same control components that are used for automated platoons, but modifies them to suit mixed traffic environment. That is, a new Information Flow Topology (IFT) and new Distributed Controller (DC) are developed for mixed platoons using  mathcalH_infty  control methods. Subsequently, a string stability analysis for a mixed platoon is shown, demonstrates the feasibility and potential of mixed platoons.