Unlocking Urban Airspace for Drone Transport

该项目旨在通过创建新的数据驱动碰撞风险建模技术，准确量化与城市空域低空无人驾驶操作相关的空中碰撞风险。 如果没有这些技术，无人机行动仍然受到抑制，因此无法实现其真正的潜力。碰撞风险模型通过提供关键的缺失知识来解决这一问题，这些知识可以支持/实现重要的无人驾驶交通管理应用，包括空域设计和间隔标准的制定。这最终可以在不影响空中安全的情况下更好地进入城市空域，从而释放无人机使用的商业和社会效益，并帮助实现城市空中交通的现代化。

This project aims to accurately quantify the mid-air collision risk associated with low-altitude unmanned operations in urban airspace through the creation of new data-driven collision risk modelling techniques. Without such techniques, drone operations remain suppressed so their true potential cannot be realised. The collision risk models address this by providing the key missing knowledge that can underpin/enable vital unmanned traffic management applications, including airspace design and the development of separation standards. This can ultimately enable greater access to urban airspace without compromising air safety such that we unlock the commercial and societal benefits of drone use and help modernise urban air transportation.