Lateral collision risk model based on CNS position error

In order to confirm the safe separation of routes and evaluate the collision risk effectively, the lateral collision risk based on CNS (communication, navigation and surveillance) position error was studied.The multi-dimensional random variable covariance matrix was applied to gain the distribution function of the lateral position error under CNS environment, then the lateral collision risk model under CNS position error was established, and an example was calculated.Analysis result shows that the lateral collision risk of studied route is 4.8×10^-13, which is in the safety target level of 5.0×10^-9, so the route under existing CNS environment is safe.