Traffic flow prediction plays a crucial role in the management and operation of urban
transportation systems. While extensive research has been conducted on predictions for …

Urban rail transit (URT) systems face the challenge of sharp increases in passenger flow
during large-scale events. However, existing research mainly focuses on normal short-term …

Predicting metro traffic flow is crucial for efficient urban planning and transit management. It
enables cities to optimize resource allocation, reduce congestion, and enhance the overall …

Urban traffic congestion significantly affects economic productivity, environmental
sustainability, and quality of life. Traditional traffic congestion prediction models, which are …

With the refinement of the urban transportation network, more and more passengers choose
the combined mode. To provide better inter-trip services, it is necessary to integrate and …

To improve real-time operation and management in urban rail transit (URT) systems,
accurate and reliable short-term passenger flow forecasting at the network level is a crucial …

Purpose Linear addition is commonly used to generate ensemble forecasts for
decomposition ensemble models but traditionally treats individual modes with equal weights …

The urban transportation system is a combination of multiple transport modes, and the
interdependencies across those modes exist. This means that the travel demand across …

The rapid growth of passengers has led to overcrowding in urban rail transit (URT) systems,
especially during holidays, posing significant challenges to the safe management and …

Online ride-hailing services play a crucial role in daily transportation, However, challenges
persist in certain regions with limited access, and drivers encounter difficulties in receiving …