交通运输系统工程与信息
交通運輸繫統工程與信息
교통운수계통공정여신식
JOURNAL OF COMMUNICATION AND TRANSPORTATION SYSTEMS ENGINEERING AND INFORMATION
2014年
6期
58-64
,共7页
张洪海%许炎%张哲铭%杨磊
張洪海%許炎%張哲銘%楊磊
장홍해%허염%장철명%양뢰
航空运输%终端区系统%交通流特性%元胞传输模型%系统仿真
航空運輸%終耑區繫統%交通流特性%元胞傳輸模型%繫統倣真
항공운수%종단구계통%교통류특성%원포전수모형%계통방진
air transportation%terminal area system%traffic flow characteristics%cell transmission model%system simulation
研究机场终端区空中交通流参数的时空特性及演变规律,可为缓解终端区交通拥挤,优化管控策略提供科学的依据。采用数理推导和仿真演析相结合的方法,首先基于元胞传输模型建立了终端区进场交通系统模型,阐明空中交通流的速度、密度和流量三项基本特性参数相互关系及影响要素;然后运用Netlogo仿真系统对增量后的进场交通流的宏观涌现行为进行模拟,推演空中交通流基本参数的变化趋势,并进行敏感性分析;最后,采用基于空管实测数据拟合的交通流参数关系对模型进行验证。研究结果表明,本文建立的交通流参数模型符合实际且对终端区交通态势的判断具有应用价值,终端区空中交通流基本参数间存在明显相关性,并随飞行程序、管制间隔、管制策略的改变而改变。
研究機場終耑區空中交通流參數的時空特性及縯變規律,可為緩解終耑區交通擁擠,優化管控策略提供科學的依據。採用數理推導和倣真縯析相結閤的方法,首先基于元胞傳輸模型建立瞭終耑區進場交通繫統模型,闡明空中交通流的速度、密度和流量三項基本特性參數相互關繫及影響要素;然後運用Netlogo倣真繫統對增量後的進場交通流的宏觀湧現行為進行模擬,推縯空中交通流基本參數的變化趨勢,併進行敏感性分析;最後,採用基于空管實測數據擬閤的交通流參數關繫對模型進行驗證。研究結果錶明,本文建立的交通流參數模型符閤實際且對終耑區交通態勢的判斷具有應用價值,終耑區空中交通流基本參數間存在明顯相關性,併隨飛行程序、管製間隔、管製策略的改變而改變。
연구궤장종단구공중교통류삼수적시공특성급연변규률,가위완해종단구교통옹제,우화관공책략제공과학적의거。채용수리추도화방진연석상결합적방법,수선기우원포전수모형건립료종단구진장교통계통모형,천명공중교통류적속도、밀도화류량삼항기본특성삼수상호관계급영향요소;연후운용Netlogo방진계통대증량후적진장교통류적굉관용현행위진행모의,추연공중교통류기본삼수적변화추세,병진행민감성분석;최후,채용기우공관실측수거의합적교통류삼수관계대모형진행험증。연구결과표명,본문건립적교통류삼수모형부합실제차대종단구교통태세적판단구유응용개치,종단구공중교통류기본삼수간존재명현상관성,병수비행정서、관제간격、관제책략적개변이개변。
This paper studies the time-space characteristic and its evolution rule of the air traffic flow in terminal area, which aims at providing scientific basis to alleviate air traffic congestion and optimize control strategies. The method combines with mathematical induction and simulation analysis. First, based on cell transmission model, the model of landing approach air traffic flow in terminal area is established, and further to elucidate the interrelationship and influential factors of the three basic parameters as velocity, density and traffic flux. Then, the macroscopic emergence behavior of traffic flow in terminal area is simulated on the Netlogo platform, and the correlativity of basic traffic flow parameters is deduced with a sensitivity analysis. Finally, the model is verified by ATC radar data. The results demonstrate that this model is correspond to reality and is feasible for traffic states identification. Also, there are obvious relationships to the three basic parameters of air traffic flow in terminal area, and such relationship evolves distinctly with the flight procedure, control separation, and control strategy.