Collision probability between intruding drone and commercial aircraft in airport restricted area based on collision-course trajectory planning
With the significant improvements in drone technology and the popularization of drones among their hobbyists, the incidents of drones intruding airports have resulted in a large number of flight delays and temporary closure of runways. To minimize the interference of drones on normal operations in t...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/148322 |
| _version_ | 1811677787899035648 |
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| author | Zhang, Na Liu, Hu Ng, Bing Feng Low, Kin Huat |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Zhang, Na Liu, Hu Ng, Bing Feng Low, Kin Huat |
| author_sort | Zhang, Na |
| collection | NTU |
| description | With the significant improvements in drone technology and the popularization of drones among their hobbyists, the incidents of drones intruding airports have resulted in a large number of flight delays and temporary closure of runways. To minimize the interference of drones on normal operations in the airports, a collision probability evaluation scheme based on collision-course trajectories modeling is proposed in this work. Firstly, a trajectory planning model of drones intruding restricted airspace is derived based on a given trajectory of the commercial aircraft (CA) and the collision-course scenario of the drone. Subsequently, according to the trajectories of the drone and CA, a probabilistic model based on the stochastic kinematic model is developed to implement the collision risk evaluation. The proposed method is first comparatively demonstrated with the Monte-Carlo (MC) simulation and several special cases with known drone’s trajectories. Subsequently, the cases covering different drone’s initial positions, positions updates, and different collision zones are simulated and analyzed using the proposed collision-course based model. The simulation results show that the established model can be employed to evaluate the collision probability, even if the trajectory information of the intruding drone is limited. |
| first_indexed | 2024-10-01T02:42:55Z |
| format | Journal Article |
| id | ntu-10356/148322 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:42:55Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1483222021-05-01T20:10:33Z Collision probability between intruding drone and commercial aircraft in airport restricted area based on collision-course trajectory planning Zhang, Na Liu, Hu Ng, Bing Feng Low, Kin Huat School of Mechanical and Aerospace Engineering Air Traffic Management Research Institute Engineering Trajectory Planning Stochastic Kinematic Model With the significant improvements in drone technology and the popularization of drones among their hobbyists, the incidents of drones intruding airports have resulted in a large number of flight delays and temporary closure of runways. To minimize the interference of drones on normal operations in the airports, a collision probability evaluation scheme based on collision-course trajectories modeling is proposed in this work. Firstly, a trajectory planning model of drones intruding restricted airspace is derived based on a given trajectory of the commercial aircraft (CA) and the collision-course scenario of the drone. Subsequently, according to the trajectories of the drone and CA, a probabilistic model based on the stochastic kinematic model is developed to implement the collision risk evaluation. The proposed method is first comparatively demonstrated with the Monte-Carlo (MC) simulation and several special cases with known drone’s trajectories. Subsequently, the cases covering different drone’s initial positions, positions updates, and different collision zones are simulated and analyzed using the proposed collision-course based model. The simulation results show that the established model can be employed to evaluate the collision probability, even if the trajectory information of the intruding drone is limited. Civil Aviation Authority of Singapore (CAAS) Accepted version This research is supported by the Civil Aviation Authority of Singapore and the Nanyang Technological University, Singapore under their collaboration in the Air Traffic Management Research Institute. Any opinions, findings, and conclusions or recommendations expressed in this manuscript are those of the authors and do not reflect the views of the Civil Aviation Authority of Singapore. 2021-04-26T01:50:33Z 2021-04-26T01:50:33Z 2020 Journal Article Zhang, N., Liu, H., Ng, B. F. & Low, K. H. (2020). Collision probability between intruding drone and commercial aircraft in airport restricted area based on collision-course trajectory planning. Transportation Research Part C: Emerging Technologies, 120, 102736-. https://dx.doi.org/10.1016/j.trc.2020.102736 0968-090X https://hdl.handle.net/10356/148322 10.1016/j.trc.2020.102736 120 102736 en Transportation Research Part C: Emerging Technologies © 2020 Elsevier Ltd. All rights reserved. This paper was published in Transportation Research Part C: Emerging Technologies and is made available with permission of Elsevier Ltd. application/pdf |
| spellingShingle | Engineering Trajectory Planning Stochastic Kinematic Model Zhang, Na Liu, Hu Ng, Bing Feng Low, Kin Huat Collision probability between intruding drone and commercial aircraft in airport restricted area based on collision-course trajectory planning |
| title | Collision probability between intruding drone and commercial aircraft in airport restricted area based on collision-course trajectory planning |
| title_full | Collision probability between intruding drone and commercial aircraft in airport restricted area based on collision-course trajectory planning |
| title_fullStr | Collision probability between intruding drone and commercial aircraft in airport restricted area based on collision-course trajectory planning |
| title_full_unstemmed | Collision probability between intruding drone and commercial aircraft in airport restricted area based on collision-course trajectory planning |
| title_short | Collision probability between intruding drone and commercial aircraft in airport restricted area based on collision-course trajectory planning |
| title_sort | collision probability between intruding drone and commercial aircraft in airport restricted area based on collision course trajectory planning |
| topic | Engineering Trajectory Planning Stochastic Kinematic Model |
| url | https://hdl.handle.net/10356/148322 |
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