武汉理工大学学报（交通科学与工程版）
武漢理工大學學報（交通科學與工程版）
무한리공대학학보（교통과학여공정판）
JOURNAL OF WUHAN UNIVERSITY OF TECHNOLOGY(TRANSPORTATION SCIENCE & ENGINEERING)
2014年
1期
227-231
,共5页
机场场面管理%场面监视系统%推出决策优化%最有可能状态(MLS)启发式算法%跑道利用率
機場場麵管理%場麵鑑視繫統%推齣決策優化%最有可能狀態(MLS)啟髮式算法%跑道利用率
궤장장면관리%장면감시계통%추출결책우화%최유가능상태(MLS)계발식산법%포도이용솔
airport surface management%airport surface surveillance system%pushback decisions opti-mization%most likely state(MLS) heuristic algorithm%runway utilization ratio
航空器推出决策一直是机场场面管理的重要研究方向和研究难点．目前，航空器推出决策一般是基于航班飞行计划和地面管制员而给出的，基于航班飞行计划是一种被动型不灵活的手段，地面管制员是根据人工估计滑行道的航空器架次和起飞跑道容量，从而发出推出许可指令，这种做法造成了跑道和滑行道利用率的降低．文中提出一种基于场面监视系统的航空器推出决策优化方法；然后建立了航空器推出决策优化模型，并使用最有可能状态（MLS）启发式算法进行求解；最后对武汉天河国际机场的航空器推出决策优化进行仿真验证，结果表明，优化的航空器推出决策与传统方法相比跑道利用率最大可提高4．8％．
航空器推齣決策一直是機場場麵管理的重要研究方嚮和研究難點．目前，航空器推齣決策一般是基于航班飛行計劃和地麵管製員而給齣的，基于航班飛行計劃是一種被動型不靈活的手段，地麵管製員是根據人工估計滑行道的航空器架次和起飛跑道容量，從而髮齣推齣許可指令，這種做法造成瞭跑道和滑行道利用率的降低．文中提齣一種基于場麵鑑視繫統的航空器推齣決策優化方法；然後建立瞭航空器推齣決策優化模型，併使用最有可能狀態（MLS）啟髮式算法進行求解；最後對武漢天河國際機場的航空器推齣決策優化進行倣真驗證，結果錶明，優化的航空器推齣決策與傳統方法相比跑道利用率最大可提高4．8％．
항공기추출결책일직시궤장장면관리적중요연구방향화연구난점．목전，항공기추출결책일반시기우항반비행계화화지면관제원이급출적，기우항반비행계화시일충피동형불령활적수단，지면관제원시근거인공고계활행도적항공기가차화기비포도용량，종이발출추출허가지령，저충주법조성료포도화활행도이용솔적강저．문중제출일충기우장면감시계통적항공기추출결책우화방법；연후건립료항공기추출결책우화모형，병사용최유가능상태（MLS）계발식산법진행구해；최후대무한천하국제궤장적항공기추출결책우화진행방진험증，결과표명，우화적항공기추출결책여전통방법상비포도이용솔최대가제고4．8％．
The aircraft pushback decision has been an important research direction of the airport surface management and research difficulties .Currently ,aircraft pushback decision is generally based on the flight plan and given by ground controllers .The method based on the flight plan will be lack flexible and initiative .Ground controllers send pushback decision based on artificial estimated taxiway aircraft numbers and takeoff runway capacity ,this practice has caused a reduction in the utilization of runways and taxiways ,increased fuel consumption and exhaust emissions .The paper presents a scene monito-ring system based on aircraft pushback decision optimization method ;then established aircraft push-back optimization model ,then the most like state heuristic algorithm was used to solve the model .Fi-nally ,an example of the aircraft pushback decision of Wuhan Tianhe International Airport was given to verify the practice and effective of the model .The results show that the optimized aircraft decision was better than the traditional method in the utilization of runways and taxiways .
