融合车站分类和数据降噪的城市轨道交通短时客流预测.

朱才华, 孙晓黎, 李培坤, 张景辰… - Journal of Railway …, 2022 - search.ebscohost.com
准确掌握城市轨道交通客流的短时变化规律是制定应急措施和提高运营效率的关键依据.
从影响客流预测精度因素的视角探索车站分类, 建立小波变换-自回归移动平均(Wavelet …

变分模态分解与自适应图卷积门控循环网络的交通流量组合预测模型

龚循强, 邱万锦, 吕开云, 张通, 张瑞… - 武汉大学学报(信息科学版), 2024 - ch.whu.edu.cn
针对交通流量预测中预定义静态图结构难以包含全局时空信息和非平稳性的问题,
提出一种结合变分模态分解(VMD) 和自适应图卷积门控循环网络(AGCGRN) …

A Combined Traffic Flow Prediction Model Based on Variational Mode Decomposition and Adaptive Graph Convolutional Gated Recurrent Network

X GONG, W QIU, K LÜ, T ZHANG… - … Information Science of …, 2024 - ch.whu.edu.cn
Objectives: Aiming at the problem that the pre-defined static graph structure cannot contain
global spatiotemporal information and non-stationarity in traffic flow prediction, a traffic flow …

Multi-time granularity subway line network short-time OD passenger flow forecasting based on LightGBM model

H Zhang, W Xiao, M Zhang - … and Big Data Forum (AIBDF 2022 …, 2023 - spiedigitallibrary.org
In order to accurately obtain the short-time OD passenger flow distribution of the subway line
network, so as to efficiently coordinate the transportation capacity and passenger demand, a …

Research on short-term forecast of product demand based on SARIMAX model

J Jia, R Yan - … International Conference on Applied Physics and …, 2023 - ieeexplore.ieee.org
As the external environment of enterprises is constantly changing, the accuracy of demand
forecasting, as the first line of defense of enterprise supply chain, is generally low due to the …

Rail transit passenger volume forecasting method based on support vector machine

S Che, Y Chen - … , Network, and Internet of Things (CNIoT 2023 …, 2023 - spiedigitallibrary.org
At present, the main problem of urban rail transit is the long-term smooth traffic forecast
based on the operation process. Because there is no reasonable distinction and prediction …