不确定条件下机场群系统均衡配流模型研究

为探索客流在机场群的分布规律,以整个航空出行链为视角,综合考虑空中交通、地面交通和旅客出行选择偏好,构建机场群系统均衡配流模型.以路径时间、机场停留时间、出行票价和旅客类型为主要参考属性,提出机场群系统旅客出行成本模型.由于路径时间与流量相关且存在不确定性,基于预算超出时间对路径时间的均值与方差进行统一度量.综合路径时间、出行票价、机场停留时间与旅客类型,基于Logit模型建立旅客对航空出行路径的选择模型,将机场群系统的客流均衡条件转换为变分不等式.基于投影收缩算法对变分不等式求解,从而得出客流在机场群间的均衡分布状态.算例结果表明,机场群系统均衡配流模型有效建立了客流分布状态,调整路径时间、机场服务水平、票价等因素均可促进客流在机场群间的均衡分布.

基于空中、地面、旅客偏好的机场群系统配流

对乘坐飞机出行的旅客在整个出行过程中基于地面、空中交通及其个人偏好的机场群系统均衡配流模型进行了研究。以旅客类型、出行成本、机场等待时间、行程时间为主要变量,在Logit模型的基础上构建旅客对乘坐飞机出行时不同交通路径的选择模型,其中以变分不等式替换机场群系统客流均衡分布的条件。实际计算结果表明,文中所构建的模型充分描述了机场群系统中客流的分布情况,通过飞机票价、候机时机场的服务、行程时间等因素的调整能够强化客流在机场群系统中分布的均衡性。

Collaboration Optimization of Flight Schedule in Beijing⁃Tianjin⁃Hebei Airport Group

The coordinated and integrated development of regional airport group system has been identified as an important research topic in the field of air traffic management in China.However,due to the clear limitation on airspace resources and severe traffic congestion,it is necessary to further study the problem of flight schedule coordination optimization for airport clusters.We take the Beijing-Tianjin-Hebei airport Group as an example and construct an optimization model of flight schedule with the minimum adjustment and delay.The design of the implementation algorithm is proposed.As demonstrated by the simulation results,the flight delay in the Beijing-Tianjin-Hebei multi-airport system is noticeably reduced by applying both the optimization model and the algorithm proposed in this paper.