Hybrid model for predicting anomalous large passenger flow in urban metros
LightGBM-based model for metro passenger volume forecasting
Use of ubiquitous real-time bus passenger information
Multistation coordinated and dynamic passenger inflow control for a metro line
Analysis of the departure time choices of metro passengers during peak hours
Forecasting usage and bike distribution of dockless bike-sharing using journey data
Bus scheduling considering trip-varying travel times, vehicle availability and capacity
Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit