Traffic forecasting has been regarded as the basis for many intelligent transportation system
(ITS) applications, including but not limited to trip planning, road traffic control, and vehicle …

With the continuous evolution and refinement of urban functional spaces, the escalating
reliance of commuters on public transportation for work-related travel has surged with time …

An accurate origin–destination (OD) passenger flow prediction system is crucially important
for urban metro operation and management. However, there are still lacking targeted …

Accurately predicting short-term passenger flow is essential to optimize operation resources
and improve transportation services in urban metro systems. However, it has become a …

Predicting urban metro ridership holds significant practical value for optimizing operational
scheduling and guiding individual travel planning. Understanding the complexity of metro …

Accurate prediction of metro passenger flow is crucial for the public and metro managers as
it can provide decision support. Previous research has predominantly focused on predicting …

The primary objective of this study is to address the taxiing uncertainty in airport ground
movement optimization with a novel dynamic control method considering adaptive traffic …

Exploring the delay causality between airports and comparing the delay propagation
patterns across different airport networks is critical to better understand delay propagation …

With the explosive growth of user-generated content, multi-view learning has become a
rapidly growing direction in pattern recognition and data analysis areas. Due to the …

For sophisticated management, advertisement placement, and epidemic prevention control
of urban rail transit (URT), accurate and real-time predictions of passenger flows at different …