| 基于“时间-特征”协同注意力的机场快轨客流预测 |
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| 引用本文： | 杜文博,石婉君,廖盛时,朱熙.基于“时间-特征”协同注意力的机场快轨客流预测[J].北京航空航天大学学报,2022,48(9):1605-1612. |
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| 作者姓名： | 杜文博 石婉君 廖盛时 朱熙 |
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| 作者单位： | 1.北京航空航天大学 电子信息工程学院，北京 100083 |
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| 基金项目： | 国家重点研发计划2019YFF0301400 |
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| 摘 要： | 机场快轨客流的准确预测是实现机场轨道交通系统智能化、精细化、高效化管控的基础，对提升机场服务水平和运行效率有着重要意义。由于影响因素众多、相互耦合，且因素对客流时序影响机理复杂，机场快轨客流的准确预测极具挑战。提出了一种基于“时间-特征”协同注意力机制的机场快轨客流预测模型，实现了精准捕捉多维因素在不同时序上对机场快轨客流的影响。基于北京首都国际机场快轨实际客流数据进行实验，结果表明了所提方法的有效性。
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| 关 键 词： | 机场快轨 时间序列 客流预测 “时间-特征”协同注意力 长短时记忆网络 |
| 收稿时间： | 2022-05-06 |
Passenger flow forecasting of airport express based on time and feature cooperative attention |
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| Affiliation: | 1.School of Electronic and Information Engineering, Beihang University, Beijing 100083, China2.Research Institute for Frontier Science, Beihang University, Beijing 100083, China |
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| Abstract: | Accurate prediction of passenger flow of airport express rail is the basis for realizing intelligent, refined and efficient control of airport rail transit system. And it is of great significance to improve airport service levels and operational efficiency. The correct prediction of airport express rail passenger flow is particularly difficult due to the complex interplay of multiple factors that influence passenger flow in complicated ways. In this paper, an airport express passenger flow prediction model based on time and feature cooperative attention mechanism is proposed to accurately capture the influence degree of multi-dimensional factors on express passenger flow in different time series. Based on the actual passenger flow data of Beijing Capital International Airport, the experiment results show that the proposed method is effective. |
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