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A behavioral analysis of freight mode choice decisions
A bibliometric analysis and review on reinforcement learning for transportation applications
A cold-start-free reinforcement learning approach for traffic signal control
Active learning metamodelling for survival rate analysis of simulated emergency medical systems
A data-driven dynamics simulation framework for railway vehicles
A data-driven lane-changing behavior detection system based on sequence learning
A deep learning traffic flow prediction framework based on multi-channel graph convolution
Agent-based modeling of cognitive learning of dynamic activity-travel patterns
A human-centric machine learning based personalized route choice prediction in navigation systems
Alighting stop determination using two-step algorithms in bus transit systems
A machine learning-based method for simulation of ship speed profile in a complex ice field
Analyzing travel behavior in Hanoi using Support Vector Machine
An automated GPS-based prompted recall survey with learning algorithms
An automatic methodology to measure drivers’ behavior in public transport
An evacuation guidance model for pedestrians with limited vision
An iterative learning approach for anticipatory traffic signal control on urban networks
A novel algorithm for ship characteristic points extraction based on density clustering
Application of machine learning with a surrogate model to explore seniors’ daily activity patterns
Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems
A residential location search model based on the reasons for moving out
A robust machine learning structure for driving events recognition using smartphone motion sensors
Arterial corridor travel time prediction under non-recurring conditions
Artificial intelligence for traffic signal control based solely on video images
A self-learning system for local ramp metering with queue management
Assessing influential factors for lane change behavior using full real-world vehicle-by-vehicle data
Asynchronous n-step Q-learning adaptive traffic signal control
A unified framework of proactive self-learning dynamic pricing for high-occupancy/toll lanes
Automatic clustering-based approach for train wheels condition monitoring
Bayesian and machine learning-based fault detection and diagnostics for marine applications
Calibrating microscopic traffic simulators using machine learning and particle swarm optimization
Characterizing parking systems from sensor data through a data-driven approach
Collaborative Stakeholder Dialogue: A Catalyst for Better Transport Policy Choices