中国民航大学学报 ›› 2025, Vol. 43 ›› Issue (6): 68-74.

• 通用航空与无人机 • 上一篇    下一篇

基于四方演化博弈的无人机安全监管策略研究

  

  1. 中国民航大学 a. 民航热灾害防控与应急重点实验室; b. 安全科学与工程学院,天津
    300300
  • 收稿日期:2024-06-15 修回日期:2024-07-15 出版日期:2025-12-20 发布日期:2026-01-10
  • 作者简介:张青松(1977— )男,河北晋州人,博士,教授,研究方向为锂电池安全与防控技术.
  • 基金资助:
    国家重点研发计划项目(2016YFC080201601)

Research on UAV safety supervision strategies based on a four-party
evolutionary game model

  1. a. Key Laboratory of Civil Aviation Thermal Hazards Prevention and Emergency Response;
    b. College of Safety Science and Engineering, CAUC, Tianjin 300300, China
  • Received:2024-06-15 Revised:2024-07-15 Online:2025-12-20 Published:2026-01-10

摘要:

为提高中国民用无人机监督管理效能,降低无人机事故率,进一步保障中国通用航空运输安全,本文运用
演化博弈理论,构建中国民用航空局通航无人机安全监管部门、地方政府、无人机企业和无人机操控者多
个利益主体间的无人机市场流通的全流程监督管理四方演化博弈模型,探索了多主体在动态博弈分析中
的策略选择路径、演化趋势及不同关键策略影响下系统稳定控制场景,为中国民用无人机的监管策略提
出了合理性建议。 结果表明,大幅度提高无人机监管效率和降低无人机事故率需要加大对无人机企业的
追责力度及采用分级监管策略。

关键词:

Abstract:

In order to improve the supervision and management efficiency of civil unmanned aerial vehicles (UAVs) in China, reduce their accident rate, and further ensure the safety of general aviation, this study applies evolutionary
game theory to construct a four-party evolutionary game model for the full-process supervision of UAV market
circulation. The model involves multiple stakeholders, including the Civil Aviation Administration of China
(CAAC) safety supervision department, local governments, UAV enterprises, and UAV operators. The study explores the strategy selection paths, evolutionary trends, and system stability and control scenarios under the influence of different strategies, and proposes reasonable regulatory strategies for civil UAVs in China. The results indicate that significantly improving UAV regulatory efficiency and reducing UAV accident rates require strengthening accountability for UAV enterprises and adopting a hierarchical supervision strategy.

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