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Forecasting
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Traffic Propagation in Road Network from a Data-Driven Analysis Perspective
Traffic Condition Uncertainty Quantification under Nonnormal Distributions
Simultaneous Prediction of Midblock and Intersection Traffic States on Urban Arterials
PSO-GRNN–Based Adaptive Online Vehicle Velocity Prediction Strategy Considering Traffic Information
Prediction of Traffic Incident Duration Using Clustering-Based Ensemble Learning Method
Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning
Predictability of Vehicle Fuel Consumption Using LSTM: Findings from Field Experiments
Network-Scale Passenger Flow Forecasting Methods in URT Based on Similarity Measurement
Designing a Novel Two-Stage Fusion Framework to Predict Short-Term Origin–Destination Flow
A Deep Architecture Combining CNNS and GRBMS for Traffic Speed Prediction