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基于Petri网与遗传算法的航空器滑行初始路径规划

朱新平 汤新民 韩松臣

朱新平, 汤新民, 韩松臣. 基于Petri网与遗传算法的航空器滑行初始路径规划[J]. 西南交通大学学报, 2013, 26(3): 565-573. doi: 10.3969/j.issn.0258-2724.2013.03.027
引用本文: 朱新平, 汤新民, 韩松臣. 基于Petri网与遗传算法的航空器滑行初始路径规划[J]. 西南交通大学学报, 2013, 26(3): 565-573. doi: 10.3969/j.issn.0258-2724.2013.03.027
ZHU Xinping, TANG Xinmin, HAN Songchen. Aircraft Initial Taxiing Route Planning Based on Petri Net and Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2013, 26(3): 565-573. doi: 10.3969/j.issn.0258-2724.2013.03.027
Citation: ZHU Xinping, TANG Xinmin, HAN Songchen. Aircraft Initial Taxiing Route Planning Based on Petri Net and Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2013, 26(3): 565-573. doi: 10.3969/j.issn.0258-2724.2013.03.027

基于Petri网与遗传算法的航空器滑行初始路径规划

doi: 10.3969/j.issn.0258-2724.2013.03.027
基金项目: 

国家科技支撑计划项目(2011BAH24B06)

国家自然科学基金与民航局联合基金资助项目(60879011,U1233105)

详细信息
    通讯作者:

    韩松臣(1963-),男,教授,博士,研究方向为空中交通安全、空域规划管理,E-mail:hansongchen@nuaa.edu.cn

Aircraft Initial Taxiing Route Planning Based on Petri Net and Genetic Algorithm

  • 摘要: 为支持先进机场场面活动引导与控制系统(A-SMGCS,advanced surface movement guidance and control system)实施航空器滑行的精确引导,将场面分为滑行道交叉口和直线段等典型运行单元,利用改进的扩展赋时库所Petri网,建立了场面运行模块化模型;采用该模型进行染色体编码,并考虑场面运行管制规则,提出了染色体合法性检测与修复算法,以及染色体交叉和变异算法.基于首都国际机场01号跑道实际运行数据,用本文模型和算法进行了多个航班滑行初始路径规划,研究结果表明:与节点-路段类模型相比,本文模型能更充分地描述场面管制规则约束,可避免生成违反管制规则的路径;本文算法的每个航班初始路径规划耗时小于10 s,符合A-SMGCS的要求;由于考虑了航空器滑行速度调整特征,更符合场面运行的实际情况.

     

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出版历程
  • 收稿日期:  2011-10-09
  • 刊出日期:  2013-06-25

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