Abstract:With the continuous upgrading of autonomous driving technology, the capacity of existing transportation facilities will also change with technological innovation. Traditional vehicles will not immediately withdraw from the historical stage. In the future, autonomous vehicles will share the existing infrastructure with traditional vehicles. The research on the traffic capacity under mixed traffic conditions will help to re-examine the capacity of existing transportation facilities. And some guidance on the direction of management and technological development in this scenario is provided. Combined with the operation characteristics of autonomous vehicles, the impact of various parameters on the potential traffic of macro roads under the conditions of different autonomous driving mixing rates is studied. The probability theory and Monte Carlo method are used to theoretically calculate and simulate the position and space-time demand of autonomous vehicles in the fleet, and analyze the different teaming strategies in detail. The trend and impact degree of traffic capacity improvement under mixed traffic conditions are roughly estimated. A method for calculating the mixed traffic capacity is put forward and the development direction of management and autonomous driving technology is proposed, which provide the useful reference for further adapting to the transformation of autonomous driving technology.