摘要
航站楼车道边是旅客实现陆空转换的关键节点,其规模对陆侧交通的正常运行有着至关重要的作用。针对航站楼离港车道边送客车辆的个体行为,基于元胞自动机提出一种改进型离港车道边停车容量仿真模型并利用实测数据对模型的准确性进行验证,最后利用文中模型分析了不同停车方式及停靠时间对停车容量的影响。试验结果表明,仿真结果与实测数据基本一致,可用于评估离港车道边停车容量;在车道边规模不变的前提下,竖向停车方式可以显著增加车道边停车容量;两种停车方式的车道边停车容量都随停靠时间的增加而减小。
The terminal curbside is a crucial node for passengers to realize the land-air transition,and its scale has a vital impact on the normal operation of the landside traffic.For the individual behavior of drop-off vehicles at the departure curbside of the terminal,an improved simulation model of parking capacity at the departure curbside is proposed based on a cellular automata and the accuracy of the model is verified by using the measured data,and finally the impact of different parking methods and stopping time on the parking capacity is analyzed by using this model.The experiment results show that the simulation results are basically consistent with the measured data and can be used to evaluate the departure curbside parking capacity.Apart from this,the vertical parking method can significantly increase the curbside parking capacity with the same size of the curbside,and the curbside parking capacity of both parking methods decreases with the increase of the stopping time.
作者
张龙财
刘斌
徐健平
刘明辉
ZHANG Long-cai;LIU Bin;XU Jian-ping;LIU Ming-hui(Airport College,Civil Aviation Flight University of China,Guanghan 618307,Sichuan Province,China)
出处
《信息技术》
2024年第4期70-75,共6页
Information Technology
基金
2022年度中央高校基本科研业务费基金项目(J2022-041)
中国民用航空飞行学院研究生科研创新项目(X2022-21)。
关键词
航站楼离港车道边
停车容量
元胞自动机
停车方式
停靠时间
terminal departure curbside
parking capacity
cellular automata
parking method
stopping time
