Novel Hybrid Spatiotemporal Convolution Neural Network Model for Short-Term Passenger Flow Prediction in a Large-Scale Metro System-Reference-Cited by-同舟云学术

Novel Hybrid Spatiotemporal Convolution Neural Network Model for Short-Term Passenger Flow Prediction in a Large-Scale Metro System

Published:2024-05 Issue:5 Volume:150 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Li Zhihong¹^ORCID,Wang Xiaoyu²^ORCID,Cai Hua³,Xu Han⁴

Affiliation:

1. Associate Professor, Dept. of Transportation, Beijing Univ. of Civil Engineering and Architecture, Beijing 102616, China; mailing address: No. 15 YongYuan Rd., Daxing District, Beijing 102616, China (corresponding author). ORCID: .

2. Master’s Student, Dept. of Transportation, Beijing Univ. of Civil Engineering and Architecture, Beijing 102616, China; mailing address: No. 15 YongYuan Rd., Daxing District, Beijing 102616, China. ORCID: .

3. Associate Professor, Dept. of Industrial Engineering, Purdue Univ., West Lafayette, IN 47907; Associate Professor, Dept. of Environmental and Ecological Engineering, Purdue Univ., West Lafayette, IN 47907; mailing address: 315 N. Grant St., West Lafayette, IN 47907-2023.

4. Engineer and Assistant Professor, Research and Development Center, Beijing Transport Institute, Beijing 100073, China; mailing address: No. 9 Liuliqiao South Rd., Fengtai District, Beijing 100073, China.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-7997

Reference37 articles.

1. Bahdanau D. K. Cho and Y. Bengio. 2014. “Neural machine translation by jointly learning to align and translate.” Preprint submitted September 1 2014. https://arxiv.org/abs/1409.0473.

2. Short-term electrical load forecasting using the support vector regression (SVR) model to calculate the demand response baseline for office buildings;Chen Y.;Appl. Energy,2017

3. Defferrard M. X. Bresson and P. Vandergheynst. 2016. “Convolutional neural networks on graphs with fast localized spectral filtering.” In Proc. Advances in Neural Information Processing Systems 3844–3852. Red Hook NY: Curran Associates Inc.

4. Attention-based BiLSTM fused CNN with gating mechanism model for Chinese long text classification;Deng J.;Comput. Speech Lang.,2021

5. Fu R. Z. Zhang and L. Li. 2016. “Using LSTM and GRU neural network methods for traffic flow prediction.” In Proc. 2016 31st Youth Academic Annual Conf. of Chinese Association of Automation (YAC) 324–328. New York: IEEE.