Short-term Bus Passenger Flow Prediction Based on Convolutional Long-short-term Memory Network

Authors

Jing Chen, School of Information Technology and Engineering, Tianjin University of Technology and Education, Tianjin 300222, ChinaFollow
Zhaochong Zhang, School of Information Technology and Engineering, Tianjin University of Technology and Education, Tianjin 300222, ChinaFollow
Linkai Wang, School of Information Technology and Engineering, Tianjin University of Technology and Education, Tianjin 300222, China
Mai An, Smart City Development Authority, Sino-Singapore Tianjin Eco-city Management Committee, Tianjin 300467, China
Wei Wang, School of Information Technology and Engineering, Tianjin University of Technology and Education, Tianjin 300222, China

Abstract

Abstract: To address the problem that the traditional short-time passenger flow prediction method does not consider the temporal characteristics similarity between the inter-temporal passenger flows, a shorttime passenger flow prediction model k-CNN-LSTM is proposed by combining the improved k-means clustering algorithm with the CNN and the LSTM. The k-means is used to cluster the intertemporal timeseries data, the k-value is determined by using the gap-statistic, and a traffic flow matrix model is constructed. A CNN-LSTM network is used to process the short-time passenger flows with spatial and temporal characteristics. The model is tested and parameter tuned by the real dataset. The test results show the model is able to predict the spatially correlated data more accurately.

Recommended Citation

Chen, Jing; Zhang, Zhaochong; Wang, Linkai; An, Mai; and Wang, Wei (2024) "Short-term Bus Passenger Flow Prediction Based on Convolutional Long-short-term Memory Network," Journal of System Simulation: Vol. 36: Iss. 2, Article 16.
DOI: 10.16182/j.issn1004731x.joss.22-1168
Available at: https://dc-china-simulation.researchcommons.org/journal/vol36/iss2/16

First Page

476

Last Page

486

CLC

TP181

Recommended Citation

Chen Jing, Zhang Zhaochong, Wang Linkai, et al. Short-term Bus Passenger Flow Prediction Based on Convolutional Long-short-term Memory Network[J]. Journal of System Simulation, 2024, 36(2): 476-486.

Corresponding Author

Zhang Zhaochong

DOI

10.16182/j.issn1004731x.joss.22-1168