基于排队论的除冰飞机延误分析
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摘要
针对除冰飞机到达率动态变化条件下除冰飞机延误问题,研究飞机地面除冰排队延误形成机理,提出除冰飞机到达率的Markov描述及平均除冰服务率的多项式描述。建立基于QBD过程的除冰排队模型,分析多除冰坪不同天气下除冰飞机延误参数。利用首都机场离港航班动态及历史除冰运行数据,对除冰飞机延误参数进行了仿真验证。结果表明:离港高峰时段航班平均延误架次及延误时间与实际数据接近,误差在5.2%以内;且各随机环境下的航班延误架次随着除冰飞机到达率动态变化,反映了各除冰坪不同时段的延误状况,进而更加客观真实地反映除冰运行状况。
Under the condition of dynamic arrival rate, we studied the deicing aircraft delay problem. The delay formation mechanism of ground aircraft deicing queuing was studied, and this paper proposed the Markov description of deicing aircraft arrival rate and polynomial description of average deicing service rate. Then we established the deicing queuing model based on QBD process, and analyzed the delay parameters of deicing aircraft under different weather conditions on multiple deicing pads. Using the departure flights information and the past deicing operation data of the Capital Airport, the simulation of the deicing aircraft delay parameters was verified. The results indicate that during the departure peak-hour, the average delay amount and delay time are close to the actual data, with the error within 5.2%. Also, under random environment, the flight delay amount is varied dynamically according to the deicing aircraft arrival rate, which reflects delay situation of each deicing pads at different times. It objectely and truly shows the operation status of deicing.
Under the condition of dynamic arrival rate, we studied the deicing aircraft delay problem. The delay formation mechanism of ground aircraft deicing queuing was studied, and this paper proposed the Markov description of deicing aircraft arrival rate and polynomial description of average deicing service rate. Then we established the deicing queuing model based on QBD process, and analyzed the delay parameters of deicing aircraft under different weather conditions on multiple deicing pads. Using the departure flights information and the past deicing operation data of the Capital Airport, the simulation of the deicing aircraft delay parameters was verified. The results indicate that during the departure peak-hour, the average delay amount and delay time are close to the actual data, with the error within 5.2%. Also, under random environment, the flight delay amount is varied dynamically according to the deicing aircraft arrival rate, which reflects delay situation of each deicing pads at different times. It objectely and truly shows the operation status of deicing.
引文
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[15] 黄寅飞,王泊,白硕.基于排队论的交易系统时延分析[J].计算机应用与软件,2016,33(11):326-330.
[16] 周玉科,刘建文,王妍.马尔科夫链蒙特卡洛算法并行化设计与性能分析[J].计算机应用与软件,2017,34(12):250-255,272.
[2] 陈斌,王立文.飞机地面除冰效能与除冰参数相关性分析[J].系统仿真学报,2018,30(3):1118-1126.
[3] Mogford R,Peknik D,Duley A,et al.Flight awareness collaboration tool development[C]//Digital Avionics Systems Conference.IEEE,2016.
[4] Chen B,Gao D W,Wang L W.Research of Multi-Information Integration for the Aircraft Ground Centralized Deicing Monitoring System Based on Wireless Data Transmission[J].IEEE Access,2018,6:52460-52470.
[5] Fan H,Tarun P K,Chen V C P,et al.Data-driven optimization for Dallas Fort Worth International Airport deicing activities[J].Annals of Operations Research,2018,263(1/2):361-384.
[6] Lee J T,Chen S,Daskalakis A.Deicing decision support tool[C]//Digital Avionics Systems Conference.IEEE,2004.
[7] 沈文兴.基于排队论的机场除冰问题研究[D].大连:大连理工大学,2013.
[8] Zou Y M,Zhang L.Research on Airport Deicing Based on Queuing Theory——Take an airport in the west as an example[C]//IOP Conference Series:Materials Science and Engineering.IOP Publishing,2018,394.
[9] 陈飞.冰雪条件下机场除冰保障技术研究[J].中国民航大学学报,2016,34(6):21-25.
[10] 邢志伟,乔晓辉.飞机地面除冰运行的非合作博弈研究[J].系统仿真学报,2011,23(3):433-437.
[11] 张伟,李彪.飞机地面除冰运行调度模型研究[J].中国民航大学学报,2017,35(5):22-25.
[12] Xing Z W,Li J H,Zhang P C.Game Theoretical Research for Airlines Apply for Deicing Resources[J].Advanced Materials Research,2011,339:411-415.
[13] 吴孟丽,于梦飞,周蕊,等.一种飞机地面集中除冰的新型优化调度方法[J].计算机仿真,2015,32(12):26-29.
[14] Wang L W,Yang H Z,Chen B.Multi-Information Integration System of Aircraft Ground Concentrated De-icing[J].Lecture Notes in Electrical Engineering,2013,216:891-897.
[15] 黄寅飞,王泊,白硕.基于排队论的交易系统时延分析[J].计算机应用与软件,2016,33(11):326-330.
[16] 周玉科,刘建文,王妍.马尔科夫链蒙特卡洛算法并行化设计与性能分析[J].计算机应用与软件,2017,34(12):250-255,272.