基于多用户配流的空港集疏运交通量预测  

Airport Traffic Flows Forecast Based on Multi-user Distribution

作　　者：柯水平[1] 白子建[1] 孙峣 KE Shuiping;BAI Zijian;SUN Yao(Tianjin Municipal Engineering Design&Research Institute,Tianjin 300051,China)

机构地区：[1]天津市市政工程设计研究院,天津300051

出　　处：《交通与运输》2019年第5期19-22,共4页Traffic & Transportation

摘　　要：针对各运输方式的容量规划及场站、配套设施设计的问题,对空港集疏运交通量进行预测。由空港吞吐量确定进出空港集疏运交通量,按照不同的出行方式的特点确定各自分配的交通量;通过运输量与交通量的转化模型,采用粒子群优化算法求解,最终得到预测的空港集疏运交通量。研究发现:预测的结果与实际调查基本一致,为机场交通枢纽与机场规划、各种运输方式容量规划及设计等提供基础研究支持和具体方法。Aiming at the capacity planning of each transportation mode and the design of the station and supporting facilities,the traffic flows of the airport collection and transportation is predicted.Airport traffic flow is determined by the airport throughput,and the traffic volume allocated by each airport is determined according to the characteristics of different travel modes.The particle swarm optimization algorithm is used to solve the traffic volume and transportation volume conversion model,and finally the predicted airport set is obtained.The results show that the predicted are basically consistent with the actual survey and it provides basic research support and specific methods for airport transportation hub and airport planning,capacity planning and design of various transportation modes.

关 键 词：空港集疏运交通量 陆侧接入交通系统 多用户配流 粒子群算法 

分 类 号：U491[交通运输工程—交通运输规划与管理]