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learning
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Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Optimization Model of Life Cycle Repair Decisions for Track Network
Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning
Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification
Prediction of Traffic Incident Duration Using Clustering-Based Ensemble Learning Method
Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis
Pavement Surface Condition Index Prediction Based on Random Forest Algorithm
Network-Scale Passenger Flow Forecasting Methods in URT Based on Similarity Measurement
Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data
Short-Time Bus Route Passenger Flow Prediction Based on a Secondary Decomposition Integration Method
Multiagent Soft Actor–Critic for Traffic Light Timing