摘要
为了由航空OD(起讫点)客流数据及航线距离数据估计机场旅客吞吐量,结合哈密顿图简化算法机理,推导了简化代数算法.以我国15个主要机场之间航空OD客流数据为例,标定了模型参数,并利用两种逆向代数算法预测机场旅客吞吐量,结果吻合良好.与标准代数算法相比,简化代数算法需要的数据少,尤其适合于缺乏完整数据的大规模OD矩阵分析.
To estimate passenger traffic at airports based on air passenger OD （origin-destination） traffic flows and air route distances, a simplified algebraic algorithm was proposed with the help of Hamiltonian graphs. The parameters in the reverse gravity model were calibrated with the statistic data of 15 major airports in China. The simplified algebraic algorithm and conventional algebraic algorithm were used to calculate the passenger traffic of 15 airports. Their results are reasonably consistent. Compared with the conventional algebraic algorithm, the simplified one needs only a smaller number of data, and it is especially suitable for large-scale OD matrix analyses without compete inter-airport data.
出处
《西南交通大学学报》
EI
CSCD
北大核心
2008年第3期409-414,共6页
Journal of Southwest Jiaotong University
基金
国家自然科学与民航联合基金资助项目(60672167)
关键词
重力模型
航空OD客流
机场
旅客吞吐量
代数算法
gravity model
OD traffic flow of air passenger
airport
passenger traffic
algebraic algorithm
