The Upgrade of Passenger Service Management for High-Speed Railway Station in the Era of Big Data
The Scale of the Urban Functions Development of the Integrated Passenger Transport Hub
Study on the Traffic Congestion Index of Urban Rail Transit Stations
Study on the Improvement of Highway Transportation Service
Spatiotemporal Heterogeneity Analysis of Influence Factor on Urban Rail Transit Station Ridership
Short-Time Bus Route Passenger Flow Prediction Based on a Secondary Decomposition Integration Method
Route Choice Probability Model Based on Urban Rail Transit Passenger Classification
Research on Short-Term Passenger Flow Forecast of Urban Rail Transit
Research on Bus Priority Control of Intersection Downstream Stop
Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning
Prediction of High-Speed Railway Passenger Traffic Volume Based on Integrated Method
Optimizaton of Train Stop Plan Adjustment Based on Passenger Flow Matching
Optimization for Urban Rail Timetable under Dynamic Passenger Demand on Different Days
Network-Scale Passenger Flow Forecasting Methods in URT Based on Similarity Measurement
Mathematical Programming Model for Passenger Inflow Control of Urban Metro Stations in Peak Hours
Impact of Capacity Definition on the HCM-6 Passenger Car Equivalent Values
Generating Alternative Pre-Trip Guidance for Metro Users by Considering Travel Time and Trip Feeling
Design and Implementation of the Key Issues Prompt System for Railway Passenger Transport Production
Coordinated Passenger Flow Control and Bus Connection Setting during Peak Hour of Urban Rail Transit
Capacity of Passenger Passageway in Large-Scale Railway Passenger Station
Calculation of Affected Passenger Flow for Rail Transit Operation Disruption Based on Timetable
Bus Timetable Investigation Based on Smart IC Card Data
Bus Passenger Flow and Running Status Analyzation System Based on MAC Address
Analysis of Rail Transit Passenger Flow in Nanjing
A Method of Building Bus Satisfaction Evaluation Index System Based on Passengers' Perception