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中文摘要：
跑道理论容量计算是机场容量评估的一项重要内容.传统方法是针对跑道实际运行情况建立特定的数学模型进行粗略计算,本研究则采用随机Petri网（stochastic Petri net,SPN）建立通用的近距平行跑道运行模型,通过同构马尔科夫链,建立系统稳态概率表达式,进而建立跑道容量数学模型.在此基础之上,将跑道容量的影响因素映射成相应变迁的激发率,通过对激发率的调整,实现了不同条件下交替起降近距平行跑道容量的计算与分析.与传统方法相比,该方法所建模型可复用性强,参数调整更为灵活,为跑道理论容量的计算与分析提供了新的解决方案.
英文摘要：
Runway capacity plays an important role in airport capacity assessment. Traditional methods focus on special rough mathematical model building according to runway operational cases. A novel assessment model for closely parallel runway capacity is proposed based on stochastic Petri net（SPN）. Firstly, an SPN model is built to depict the assessment process. Secondly, the homogeneous Markov chain is induced and system steady-state probability is established in accordance with SPN model. Then a consequence representation for a given runway operation is attained to assess runway capacity in different situations. Concretely, the influencial factors of runway capacity are mapped into corresponding transition firing rates. Compared with traditional methods, this one has a high reusability in model and more flexibility in parameter adjustment, which can be seen as a new solution for runway capacity calculation and analysis.
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