A Method of User Travel Mode Recognition Based on Convolutional Neural Network and Cell Phone Signaling Data
Zhibing Yang,
Zhiqiang Xie,
Zhiqun Hou
et al.
Abstract:As urbanization accelerates, traffic congestion in cities has become a problem. Therefore, accurately identifying urban residents’ travel patterns is crucial for urban traffic planning and intelligent transportation systems. In this study, a convolutional neural network (CNN) approach based on multichannel feature extraction using mobile phone signaling data to identify user travel modes is proposed. Here, a trajectory generation method was designed for five types of travel modes. By designing a spatiotemporal… Show more
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