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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2019  >  19(6): 125-136
ZHANG Qi-qian, WANG Zhong-ye, ZHANG Hong-hai, JIANG Cheng-peng, HU Ming-hua. SMILO-VTAC model based multi-aircraft conflict resolution method in complex low-altitude airspace[J]. Journal of Traffic and Transportation Engineering, 2019, 19(6): 125-136. doi: 10.19818/j.cnki.1671-1637.2019.06.012
Citation: ZHANG Qi-qian, WANG Zhong-ye, ZHANG Hong-hai, JIANG Cheng-peng, HU Ming-hua. SMILO-VTAC model based multi-aircraft conflict resolution method in complex low-altitude airspace[J]. Journal of Traffic and Transportation Engineering, 2019, 19(6): 125-136. doi: 10.19818/j.cnki.1671-1637.2019.06.012
shu

SMILO-VTAC model based multi-aircraft conflict resolution method in complex low-altitude airspace

doi: 10.19818/j.cnki.1671-1637.2019.06.012

  • School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, Jiangsu, China

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    Abstract
  • Aiming at the two uncontrolled cases of traditional sequential mixed integer linear optimization-velocity change, turn change and altitude change(SMILO-VTAC) model, a new multi-aircraft conflict resolution model in complex low-altitude airspace under uncontrolled cases was proposed. Considering the constraints of terrain obstacles in complex low-altitude airspace, a low-altitude multi-aircraft conflict detection and resolution model for the obstacle-oriented scenarios was proposed based on the traditional SMILO-VTAC model. Combined with the priority of general aviation tasks, the rules and procedures of multi-aircraft conflict detection and resolution were established based on the task priority. A multi-aircraft head-to-head convergence scenario was established. Simulation and verification were performed based on the proposed method. Analysis result shows that compared with the traditional SMILO-VTAC model, the proposed method can meet the actual needs of multi-aircraft conflict detection and resolution in uncontrolled cases, and resolve the schemes based on task priority. The resolution cost allocation is reasonable, and the method is more suitable for the characteristics of aircrafts in complex low-altitude airspace. The solution time of the proposed method is slightly longer when the number of aircrafts is no more than 4, but it is basically controlled within 1 s. When the number of aircrafts is more than 4, the solution time of the proposed method is generally less than that of the traditional SMILO-VTAC model. When the number of aircrafts is no less than 7, the solution time of the proposed method is much lower than that of the traditional SMILO-VTAC model. Considering the priority factors, the average resolution cost of new method is 10%-20% higher than that of the traditional SMILO-VTAC model. Along with the small increase in the average resolution cost, the resolution cost is allocated in order of priority. The resolution cost of high-priority aircraft is passed to low-priority aircraft. Obviously, the improved method has higher resolution efficiency in multi-aircraft operation and multi-priority scenario, and has a higher limit of resolution amount in the same calculation time.

     

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