Cameras are the most popular sensors deployed on unmanned aerial vehicles (UAV) and many studies since 2000 have shown their ability to track vehicles and monitor traffic. At the same time, dedicated short-range communication (DSRC) and cellular vehicle to everything (C-V2X) communication technologies are gaining momentum in both standardization and implementation. In this work, we create a simulation environment that provides capabilities to simulate connected ground and air traffic in a single application. This environment is built alongside PTV Vissim and has the goal of being one of the default tools used by transportation professionals to simulate air vehicles and communication for ground traffic use cases. Vissim event-based scripts and a custom Python package called PyPTV form the foundation of this simulation environment. This work first discusses the simulation capabilities, software architecture, and techniques used to improve simulation speed. The results then show that this simulation environment can be used in many different cases. Videos are given to show example simulations.

摄像头是部署在无人机上的最流行的传感器，自2000年以来的许多研究表明，摄像头具有跟踪车辆和监视交通的能力。同时，专用的短距离通信（DSRC）和蜂窝电话到万物（C-V2X）通信技术在标准化和实施方面都获得了动力。在这项工作中，我们创建了一个模拟环境，该环境提供了在单个应用程序中模拟连接的地面和空中交通的功能。该环境与PTV Vissim一起构建，其目标是成为运输专业人员用来模拟飞机和地面交通用例通信的默认工具之一。Vissim基于事件的脚本和一个名为PyPTV的自定义Python包构成了此仿真环境的基础。这项工作首先讨论了仿真功能，软件体系结构以及用于提高仿真速度的技术。结果表明，该仿真环境可以在许多不同的情况下使用。提供视频以显示示例模拟。