Imagine trying to get a permit to fly a drone over a city, but the paperwork takes forever because no one knows exactly how safe it is. This project creates a digital calculator that predicts the chance of accidents in the air or on the ground. It helps regulators say 'yes' faster by proving that the flight is safe using real-world data and smart simulations.
Drone operators face slow, manual, and expensive approval processes because current risk assessments cannot accurately quantify safety in complex urban environments.
A set of quantitative air and ground risk models and a digital version of the SORA methodology integrated into U-space simulators.
If you are a delivery service dealing with slow permit approvals for city flights — this project developed quantitative risk models that prove safety levels. This allows you to launch business models that are currently too expensive or risky to operate.
If you are an inspection firm dealing with strict safety rules when flying near critical power lines or bridges — this project developed specific operational scenarios for linear infrastructures. This reduces the burden of meeting safety objectives manually.
If you are an air taxi operator dealing with the complexity of landing in crowded city hubs — this project developed risk models specifically for vertiports. This enables a faster and more reliable approval process for passenger flights.
Based on available project data, there is no pricing or cost information provided for the resulting models.
Yes, the project integrates models into state-of-the-art U-space simulators to ensure they work for real-world deployment and variable demand.
Based on available project data, specific IP and licensing terms are not mentioned.
The project proposes amendments to the SORA methodology, aiming for swifter operational approval processes through digital implementations.
A first version for short-term needs is delivered one year after kick-off, with a second version for long-term needs by February 28, 2027.
The consortium is well-balanced for commercialization, featuring 10 partners across 6 countries. With a 40% industry ratio (4 companies), the project ensures that the mathematical models are grounded in commercial reality rather than just academic theory.
Contact Universitat Politècnica de València regarding U-space risk model integration.
Contact us to find out how to integrate these risk models into your drone operation permits.
