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Small-amplitude bogie hunting identification method for high-speed trains based on machine learning
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles
Revisiting residential self-selection and travel behavior connection using a double machine learning
Research on the air brake system of heavy haul trains based on neural network
Individual and synergistic associations among transit allowance, land use, and transit commuting
Fake it till you make it: Synthetic data for emerging carsharing programs
Built environment’s nonlinear effects on mode shares around BRT and rail stations
Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning
Adaptive human-robot policy blending for shared control teleoperation
A Multiagency Long Short-Term Model Beamforming Prediction Model for Cellular Vehicle to Everything
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Exploring user satisfaction and improvement priorities in electric vehicle segments
A Real-World Data-Driven approach for estimating environmental impacts of traffic accidents
Analysis and estimation of energy consumption of electric buses using real-world data
An Electric Vehicle Transitioning Framework for Public Fleet Planning
Prediction of Zenith tropospheric delay in GNSS observations using support vector regression
Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Examining active travel behavior through explainable machine learning: Insights from Beijing, China
Artificial Intelligence for Spectral Analysis: a Comprehensive Framework
Designing [with] machines : task- and site-specific robotic teams for architectural in situ making
Learning motion skills for a humanoid robot
Time-Series fuel consumption prediction assessing delay impacts on energy using vehicular trajectory
Overview of Catenary Detection of Electrified Railways
Catenary Support Components and Their Characteristics in High-Speed Railways
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
Self-supervised learning of primitive-based robotic manipulation
An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network
Intelligent System for Railway Joint Diagnostics
EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically
Sampling-based exploration strategies for mobile robot autonomy
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Deep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways
AI-based Wave Prediction in Complex Plasmas
Nonlinear effects of the built environment on metro-integrated ridesourcing usage