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Traffic Speed Prediction for Urban Arterial Roads Using Deep Neural Networks
Urban Road Traffic State Level Classification Based on Dynamic Ensemble Learning Algorithm
Human-Like Longitudinal Velocity Control Based on Continuous Reinforcement Learning
Traffic Congestion Prediction Based on Long-Short Term Memory Neural Network Models
A Deep Architecture Combining CNNS and GRBMS for Traffic Speed Prediction
Pavement Surface Condition Index Prediction Based on Random Forest Algorithm
Optimization Model of Life Cycle Repair Decisions for Track Network
Prediction of Public Bus Passenger Flow Using Spatial–Temporal Hybrid Model of Deep Learning
Minimization of Cable-Net Reflector Shape Error by Target-Approaching and Procedural-Learning Method
Attitude Control of a Moving Mass–Actuated UAV Based on Deep Reinforcement Learning
Prediction of Traffic Incident Duration Using Clustering-Based Ensemble Learning Method
Self-Supervised Deep Learning Framework for Anomaly Detection in Traffic Data
Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification
Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis
Adaptive Prescribed-Time Tracking Control of Spacecraft with Deferred Full-State Constraints
Network-Scale Passenger Flow Forecasting Methods in URT Based on Similarity Measurement
Short-Time Bus Route Passenger Flow Prediction Based on a Secondary Decomposition Integration Method
Multiagent Soft Actor–Critic for Traffic Light Timing
Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps
Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
Machine Learning–Aided Synthetic Air Data System for Commercial Aircraft
Data-Driven Method for Real-Time Reconstruction of the Structural Displacement Field