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Conflict resolution for UAVs in head-on flight scenario based on improved sparrow search algorithm
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Jian Zhang1, 2, Yongbo Zhang1, Yifei Zhao1, **, Fei Lu1, Jingnan Fang1
China Safety Science Journal | 2026, 36(5) : 122 - 130
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China Safety Science Journal | 2026, 36(5): 122-130
Safety Technology and Engineering
Conflict resolution for UAVs in head-on flight scenario based on improved sparrow search algorithm
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Jian Zhang1, 2, Yongbo Zhang1, Yifei Zhao1, **, Fei Lu1, Jingnan Fang1
Affiliations
  • 1 School of Air Traffic Management, Civil Aviation University of China, Tianjin 300300
  • 2 Institute of Science and Technology Innovation, Civil Aviation University of China, Tianjin 300300
Published: 2026-05-28 doi: 10.16265/j.cnki.issn1003-3033.2026.05.1015
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Focusing on the path planning problem for the resolution of high-risk head-on flight conflicts, a UAV resolution path model based on minimum energy consumption was proposed. Multiple factors, such as paths and turns, obstacles, and safety separation, were comprehensively considered in this model. In the model solution, an improved SSA with multi-strategy integration was proposed by improving the chaotic mapping, the golden sine and the follower position update strategy. Its effectiveness was demonstrated by comparing it against 3 other mainstream swarm-intelligence algorithms on 8 standard benchmark functions. For the issue of flight conflict resolution, multi-aircraft conflict scenarios and reduced conflict scenarios were constructed, and 4 algorithms were applied for multiple trials. The comparison was made from two aspects: convergence performance and running time. Simulation results show that, in 4-UAV head-on conflicts scenario, a fitness of 8.86 with a runtime of 4.06 s are achieved by the improved algorithm, while a fitness of 1.26 and a runtime of 3.03 s are obtained in the 3-UAV induced-conflict scenario. All results are optimal, indicating that reasonable resolution paths for head-on conflicts among multiple UAVs can be rapidly provided by the proposed approach. When dealing with complex conflict problems, both computational efficiency and accuracy are taken into account. The new algorithm can quickly plan paths for the resolution of multi-machine head on flight conflicts.

sparrow search algorithm(SSA)  /  unmanned aerial vehicles(UAV)  /  head-on flight conflicts  /  conflict resolution  /  path planning
Jian Zhang, Yongbo Zhang, Yifei Zhao, Fei Lu, Jingnan Fang. Conflict resolution for UAVs in head-on flight scenario based on improved sparrow search algorithm[J]. China Safety Science Journal, 2026 , 36 (5) : 122 -130 . DOI: 10.16265/j.cnki.issn1003-3033.2026.05.1015
Year 2026 volume 36 Issue 5
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Article Info
doi: 10.16265/j.cnki.issn1003-3033.2026.05.1015
  • Receive Date:2025-12-10
  • Online Date:2026-06-26
  • Published:2026-05-28
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  • Received:2025-12-10
  • Revised:2026-03-12
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    1 School of Air Traffic Management, Civil Aviation University of China, Tianjin 300300
    2 Institute of Science and Technology Innovation, Civil Aviation University of China, Tianjin 300300
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多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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