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learning
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keywords:(learning)
Machine learning algorithms in ship design optimization
A robust machine learning structure for driving events recognition using smartphone motion sensors
An automatic methodology to measure drivers’ behavior in public transport
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Revisiting residential self-selection and travel behavior connection using a double machine learning
Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors
Fake it till you make it: Synthetic data for emerging carsharing programs
Traffic Flow Forecasting Based on Transformer with Diffusion Graph Attention Network
Price incentive strategy for the E-scooter sharing service using deep reinforcement learning
Individual and synergistic associations among transit allowance, land use, and transit commuting
Reinforcement-Tracking: An End-to-End Trajectory Tracking Method Based on Self-Attention Mechanism
Built environment’s nonlinear effects on mode shares around BRT and rail stations
Development of Indoor Wear Test Method for Passenger Car Tires Reflecting Road Driving Conditions
Simulation-driven design of a fast monohull
Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Joint associations of environmental and sociodemographic attributes with active and sedentary travel
Using open data and deep learning to explore walkability in Shenzhen, China
Arterial corridor travel time prediction under non-recurring conditions
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
A human-centric machine learning based personalized route choice prediction in navigation systems
Evaluation of the Explanatory Power Of Layer-wise Relevance Propagation using Adversarial Examples
Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis
Propeller optimization by interactive genetic algorithms and machine learning
Nonlinear, threshold and synergistic effects of first/last-mile facilities on metro ridership
Short-term electric vehicle battery swapping demand prediction: Deep learning methods
High Definition Map Aided Object Detection for Autonomous Driving in Urban Areas
Worst-Case Analysis of Complex Nonlinear Flight Control Designs Using Deep Q-Learning
Fuel-Saving Control Strategy for Fuel Vehicles with Deep Reinforcement Learning and Computer Vision
Examining active travel behavior through explainable machine learning: Insights from Beijing, China