参数优化的图卷积门控循环网络地铁客流预测

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中图分类号：U293.5 文献标志码：A

本文引用格式：，李露，.参数优化的图卷积门控循环网络地铁客流预测[J].华东交通大学学报，2025，42（（3））：77-

Parameter Optimization of Graph Convolution Gated Recurrent Neural Network for Subway Passenger Flow Prediction

Zhang Yang，Li Lubin， Chen Yanling （SchoolofTransportation，FujianUniversityofTechnology，Fuzhou35o118，China）

Abstract：Fully exploiting the spatial correlation of passenger flow between related stations in the subway network has a positive effect on the improvement of subway passenger flow prediction accuracy. Capturing and quantifying spatial paterns in passenger flow data is dificult due to the difficulty of learning and transferring spatial correlations between metro stations.An improved graph-convolution gated recurrent neural network （GCGRU） metro passenger flow prediction model was proposed to enhance the model’s ability to handle different data types by integrating multivariate spatio-temporal data.The spider wasp optimisation （SWO） algorithm based on Tent chaotic mapping and Levy flight disturbance strategy was used to dynamically adjust the model structural parameters inorder to optimize the hidden layer structure of the gated recurrent neural network.The experimental results show thatthe prediction accuracy of the model is significantly higher on weekdays than on weekends，and the root mean square error， mean absolute eror，and mean absolute percentage error are reduced by 13 percentage points，12 percentage points，and O.O8 percentage points，respectively，during weekdays compared to wekends.Dynamic optimization ofthe hidden structure of gated recurrent networks can lead to beter convergence of the prediction model and higher prediction accuracy.

Key Words： gated recurent neural network; graph convolution operation; attention mechanism; Levy flight disturbance; subway passenger flow prediction

Citation format： ZHANG Y，LI L B，CHENYL.Parameter optimization of graph convolution gated recurrent neural network for subway passenger flow prediction[J].Journal ofEast China Jiaotong University，2O25，42（3）： 77-86.

随着我国城市化进程的加快，城市人口逐年增长，地铁面临着越来越大的客流压力，合理的列车调度及客流管控策略受到地铁运营方的重视。（剩余12413字）