A risk-based UAS traffic network model for adaptive urban airspace management
This paper presents a risk-based model for UAV path planning in urban low altitude environments. Firstly, the risks in urban environments were identified and classified into four groups, and the corresponding risk costs were categorized into five different levels. A general risk cost model was then...
| Главные авторы: | , , , |
|---|---|
| Другие авторы: | |
| Формат: | Conference Paper |
| Язык: | English |
| Опубликовано: |
2021
|
| Предметы: | |
| Online-ссылка: | https://hdl.handle.net/10356/147356 |
| _version_ | 1826110205454188544 |
|---|---|
| author | Pang, Bizhao Tan, Qingyu Ra, Thu Low, Kin Huat |
| author2 | School of Mechanical and Aerospace Engineering |
| author_facet | School of Mechanical and Aerospace Engineering Pang, Bizhao Tan, Qingyu Ra, Thu Low, Kin Huat |
| author_sort | Pang, Bizhao |
| collection | NTU |
| description | This paper presents a risk-based model for UAV path planning in urban low altitude environments. Firstly, the risks in urban environments were identified and classified into four groups, and the corresponding risk costs were categorized into five different levels. A general risk cost model was then developed for qualifying all related risk costs. Secondly, a ConOps for urban air route network with plane and cubical diagonals was built and the obtained risk cost information were ingested into the network to assist path planning. Finally, an A*cost algorithm was developed to generate a safe and cost-effective path for UAVs in urban low altitude airspace. Simulation results show that the novel route network structure with diagonals has better performance, with an average reduction of 17.56% for path distance. While the proposed A*cost algorithm has good results in terms of total cost and computational time, outperforming traditional Dijkstra and Ant Colony algorithm. |
| first_indexed | 2024-10-01T02:30:55Z |
| format | Conference Paper |
| id | ntu-10356/147356 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:30:55Z |
| publishDate | 2021 |
| record_format | dspace |
| spelling | ntu-10356/1473562021-05-08T20:10:20Z A risk-based UAS traffic network model for adaptive urban airspace management Pang, Bizhao Tan, Qingyu Ra, Thu Low, Kin Huat School of Mechanical and Aerospace Engineering AIAA Aviation 2020 Forum Air Traffic Management Research Institute Engineering Engineering::Mathematics and analysis Airspace Genetic Algorithm This paper presents a risk-based model for UAV path planning in urban low altitude environments. Firstly, the risks in urban environments were identified and classified into four groups, and the corresponding risk costs were categorized into five different levels. A general risk cost model was then developed for qualifying all related risk costs. Secondly, a ConOps for urban air route network with plane and cubical diagonals was built and the obtained risk cost information were ingested into the network to assist path planning. Finally, an A*cost algorithm was developed to generate a safe and cost-effective path for UAVs in urban low altitude airspace. Simulation results show that the novel route network structure with diagonals has better performance, with an average reduction of 17.56% for path distance. While the proposed A*cost algorithm has good results in terms of total cost and computational time, outperforming traditional Dijkstra and Ant Colony algorithm. Civil Aviation Authority of Singapore (CAAS) Accepted version This research is supported by the Civil Aviation Authority of Singapore and Nanyang Technological University, Singapore under their collaboration in the Air Traffic Management Research Institute. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the Civil Aviation Authority of Singapore. 2021-05-06T04:25:26Z 2021-05-06T04:25:26Z 2020 Conference Paper Pang, B., Tan, Q., Ra, T. & Low, K. H. (2020). A risk-based UAS traffic network model for adaptive urban airspace management. AIAA Aviation 2020 Forum, 1 PartF. https://dx.doi.org/10.2514/6.2020-2900 9781624105982 https://hdl.handle.net/10356/147356 10.2514/6.2020-2900 2-s2.0-85090322133 1 PartF en © 2020 by Nanyang Technological University. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. application/pdf |
| spellingShingle | Engineering Engineering::Mathematics and analysis Airspace Genetic Algorithm Pang, Bizhao Tan, Qingyu Ra, Thu Low, Kin Huat A risk-based UAS traffic network model for adaptive urban airspace management |
| title | A risk-based UAS traffic network model for adaptive urban airspace management |
| title_full | A risk-based UAS traffic network model for adaptive urban airspace management |
| title_fullStr | A risk-based UAS traffic network model for adaptive urban airspace management |
| title_full_unstemmed | A risk-based UAS traffic network model for adaptive urban airspace management |
| title_short | A risk-based UAS traffic network model for adaptive urban airspace management |
| title_sort | risk based uas traffic network model for adaptive urban airspace management |
| topic | Engineering Engineering::Mathematics and analysis Airspace Genetic Algorithm |
| url | https://hdl.handle.net/10356/147356 |
| work_keys_str_mv | AT pangbizhao ariskbaseduastrafficnetworkmodelforadaptiveurbanairspacemanagement AT tanqingyu ariskbaseduastrafficnetworkmodelforadaptiveurbanairspacemanagement AT rathu ariskbaseduastrafficnetworkmodelforadaptiveurbanairspacemanagement AT lowkinhuat ariskbaseduastrafficnetworkmodelforadaptiveurbanairspacemanagement AT pangbizhao riskbaseduastrafficnetworkmodelforadaptiveurbanairspacemanagement AT tanqingyu riskbaseduastrafficnetworkmodelforadaptiveurbanairspacemanagement AT rathu riskbaseduastrafficnetworkmodelforadaptiveurbanairspacemanagement AT lowkinhuat riskbaseduastrafficnetworkmodelforadaptiveurbanairspacemanagement |