目前,随着AI(人工智能)技术的兴起,无人驾驶汽车正成为当前交通领域研究的重点内容。随着机械及其自动化等领域的发展,无人驾驶汽车的硬件设计已有初步构架。但由于实地交通的复杂性,基于场景重建的无人机控制系统还未得到有效解决。本文基于实地交通的运行状况构建了交通流模型,从而为无人驾驶汽车的场景重建提供支持。 Currently, with the rise of AI (Artificial Intelligence) technology, driverless cars are becoming the focus of current research in the field of transportation. With the development in the fields of machinery and automation, the preliminary design of the hardware design of driverless vehicles has been made. However, the UAV control system based on scene reconstruction has not been effectively solved due to the complexity of traffic on the ground. This paper builds a traffic flow model based on the operational status of field traffic to support the scene reconstruction of driverless vehicles.