Effects of Automated Vehicle Models at the Mixed Traffic Situation on a Motorway Scenario

There is consensus in industry and academia that Highly Automated Vehicles (HAV) Connected (CAV) will be launched into the market near future due to emerging autonomous driving technology. In this paper, a mixed traffic simulation framework integrates vehicle models with different automated systems microscopic was proposed. Currently, some of more mature Driving Systems (ADS) functions (e.g., Adaptive Cruise Control (ACC), Lane Keeping Assistant (LKA), etc.) are already equipped vehicles, very next step towards higher represented by Level 3 vehicles CAV which show great promise helping avoid crashes, ease congestion, improve environment. Therefore, better predict simulate behavior on motorway scenario, virtual test proposed includes Highway Chauffeur (HWC) Vehicle-to-Vehicle (V2V) communication function. These implemented as an external driver model PTV Vissim. The uses detailed digital twin based M86 road network located southwestern Hungary, constructed for tests. With framework, effect evaluated simulator A case study penetration rates HAV performed motorway. Preliminary results presented paper demonstrated introducing current individually cause negative effects performance. However, certain ratio traffic, 60% 40% Human Driver (HDV), could reduce impact. also high has fine stability less travel delay.