华南理工大学学报（自然科学版）2026，Vol.54Issue(4)：144-155,12.DOI:10.12141/j.issn.1000-565X.250308
基于相空间重构的电动公交车辆行为预测
Behavior Prediction of Electric Buses Based on Phase Space Reconstruction
摘要
Abstract
To identify the driving activities of urban buses while avoiding privacy infringement on drivers and other road users caused by the use of on-board surveillance cameras,this study establishes a bus vehicle behavior predic-tion model that takes vehicle motion and driving operation data as inputs.First,experiments were carried out to co-llect the natural driving data of urban buses,and vehicle movement and driver behavior operation data were co-llected through the CAN protocol.Then,segments corresponding to station entry,station exit,intersections,turning and lane changing were selected.Based on Takens'delay embedding method,phase space reconstruction was per-formed to map time-series data into a high-dimensional space to generate two-dimension recurrence plots.After-wards,multi-channel stacking was applied to construct RGB images.To address the issue of class imbalance,Focal Loss function was adopted to enhance the model's feature extraction capability for minority classes.On this basis,an E-bus vehicle behavior prediction model marked as E-VBPM was developed using the ConvNeXt network.The results indicate that E-VBPM achieves an accuracy of 84.62%in predicting 5 kinds of driving activities.As com-pared with the machine learning algorithm that uses time-series data as the input,the proposed model achieves an absolute increase in accuracy,precision,and recall by 6.79%,10.98%and 8.86%,respectively.The results of this research provide support for electric bus on-board systems to identify the current operating modes and assist the driver in a safer and more intelligent way.关键词
安全工程/电动公交车/车辆行为/相空间重构/卷积神经网络Key words
safety engineering/electric bus/vehicle behavior/phase space reconstruction/convolutional neu-ral network分类
交通工程引用本文复制引用
李坤宸,张雅丽,袁伟,张会明,王畅,付锐..基于相空间重构的电动公交车辆行为预测[J].华南理工大学学报（自然科学版）,2026,54(4):144-155,12.基金项目
国家自然科学基金项目(52272412) （52272412）
陕西省重点研发计划项目(2024CY2-GJHX-87) （2024CY2-GJHX-87）
长安大学中央高校基本科研业务费专项资金项目(300102224501,300102224302) （300102224501,300102224302）
国家建设高水平公派研究生奖学金项目(CSC202306560067) Supported by the National Natural Science Foundation of China(52272412)and the Key Research and Deve-lopment Program of Shaanxi(2024CY2-GJHX-87) （CSC202306560067）
