A traffic flow prediction method based on constrained dynamic graph convolutional recurrent networks

H Xiao, Z Zhao, T Yang - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
To enhance the efficiency of predicting future traffic flow trends within a transportation
network, we propose a traffic flow prediction approach based on Constrained Dynamic …

A hybrid neural network for urban rail transit short-term flow prediction

C Zhu, X Sun, Y Li, Z Wang, Y Li - The Journal of Supercomputing, 2024 - Springer
Accurate and rapid short-term passenger flow prediction is the foundation for safe and
efficient operation of urban rail transit systems. The urban rail transit passenger flow is …

[HTML][HTML] Multi-Spatio-Temporal Convolutional Neural Network for Short-Term Metro Passenger Flow Prediction

Y Lu, C Zheng, S Zheng, J Ma, Z Wu, F Wu, Y Shen - Electronics, 2023 - mdpi.com
Accurate short-term prediction of metro passenger flow can offer significant assistance in
optimizing train schedules, reducing congestion during peak times, and improving the …

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

Z Li, X Wang, H Cai, H Xu - Journal of Transportation Engineering …, 2024 - ascelibrary.org
Accurate and reliable prediction of subway passenger flow is a particularly challenging
application of spatiotemporal forecasting, due to the time-varying travel patterns and the …

Metro passenger flow prediction: a double-stage decomposition combined with Enhanced-BiGRU model considering multiple factors

Z Zhao, D Yang, P Wang, E Li - … of the 4th International Conference on …, 2023 - dl.acm.org
Accurate and reliable passenger flow prediction is essential to formulate operational plans,
improve service quality, and alleviate traffic pressure for the metro transportation system …