Correlation-based feature selection and parallel spatiotemporal networks for efficient passenger flow forecasting in metro systems

IF 3.6 2区 工程技术 Q2 TRANSPORTATION Transportmetrica A-Transport Science Pub Date : 2024-04-04 DOI:10.1080/23249935.2024.2335244
Cong Xiu, Shuguang Zhan, Jinyi Pan, Qiyuan Peng, Zhiyuan Lin, S.C. Wong
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Abstract

This paper presents a novel framework for predicting metro passenger flow that is both interpretable and computationally efficient. The proposed method first uses a correlation-based spatiotemporal...
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基于相关性的特征选择和并行时空网络用于地铁系统的高效客流预测
本文提出了一种新颖的地铁客流预测框架,该框架既可解释,又具有计算效率。所提出的方法首先使用基于相关性的时空...
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来源期刊
Transportmetrica A-Transport Science
Transportmetrica A-Transport Science TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
8.10
自引率
12.10%
发文量
55
期刊介绍: Transportmetrica A provides a forum for original discourse in transport science. The international journal''s focus is on the scientific approach to transport research methodology and empirical analysis of moving people and goods. Papers related to all aspects of transportation are welcome. A rigorous peer review that involves editor screening and anonymous refereeing for submitted articles facilitates quality output.
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