An origin–destination passenger flow prediction system based on convolutional neural network and passenger source-based attention mechanism
S Lv, K Wang, H Yang, P Wang - Expert Systems with Applications, 2024 - Elsevier
An accurate origin–destination (OD) passenger flow prediction system is crucially important
for urban metro operation and management. However, there are still lacking targeted …
for urban metro operation and management. However, there are still lacking targeted …
Graph transformer embedded deep learning for short-term passenger flow prediction in urban rail transit systems: A multi-gate mixture-of-experts model
S Hu, J Chen, W Zhang, G Liu, X Chang - Information Sciences, 2024 - Elsevier
Urban rail transit (URT) plays a crucial role in mitigating urban traffic congestion by offering
faster and higher-quality travel services. Short-term passenger flow predictions have …
faster and higher-quality travel services. Short-term passenger flow predictions have …
A new FCM-XGBoost system for predicting Pavement Condition Index
L Lin, S Li, K Wang, B Guo, H Yang, W Zhong… - Expert Systems with …, 2024 - Elsevier
Abstract Predicting Pavement Condition Index (PCI) is crucial for identifying potential
pavement distresses and develo** effective pavement maintenance strategies. Here, a …
pavement distresses and develo** effective pavement maintenance strategies. Here, a …
A semi-supervised co-training model for predicting passenger flow change in expanding subways
Subways in many big cities are experiencing rapid development with new lines being
planned, built and put into operations. Understanding passenger flow change in expanding …
planned, built and put into operations. Understanding passenger flow change in expanding …
A new anomalous travel demand prediction method combining Markov model and complex network model
Accurate prediction of travel demand is crucial for the development of intelligent
transportation systems. However, we are still lacking methods to predict travel demand in …
transportation systems. However, we are still lacking methods to predict travel demand in …
Exploring the association between network centralities and passenger flows in metro systems
Network science offers valuable tools for planning and managing public transportation
systems, with measures such as network centralities proposed as complementary predictors …
systems, with measures such as network centralities proposed as complementary predictors …
An interpretable approach to passenger flow prediction and irregular passenger travel patterns understanding in metro system
F Wu, C Zheng, S Zhou, Y Lu, Z Wu, S Zheng - Expert Systems with …, 2025 - Elsevier
Metro passenger flow prediction is an essential aspect of intelligent transportation systems.
However, despite the emergence of deep learning technologies and the development of …
However, despite the emergence of deep learning technologies and the development of …
A graph deep learning model for station ridership prediction in expanding metro networks
Due to their reliability, efficiency, and environmental friendliness, metro systems have
become a crucial solution to transportation challenges associated with urbanization. Many …
become a crucial solution to transportation challenges associated with urbanization. Many …
STContext: A Multifaceted Dataset for Develo** Context-aware Spatio-temporal Crowd Mobility Prediction Models
L Chen, J Fang, T Liu, F Gao, L Wang - arxiv preprint arxiv:2501.03583, 2025 - arxiv.org
In smart cities, context-aware spatio-temporal crowd flow prediction (STCFP) models
leverage contextual features (eg, weather) to identify unusual crowd mobility patterns and …
leverage contextual features (eg, weather) to identify unusual crowd mobility patterns and …
[HTML][HTML] Exploring the Spatiotemporal Patterns of Passenger Flows in Expanding Urban Metros: A Case Study of Shenzhen
Despite extensive investigations on urban metro passenger flows, their evolving
spatiotemporal patterns with the extensions of urban metro networks have not been well …
spatiotemporal patterns with the extensions of urban metro networks have not been well …