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Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
Using reinforcement learning to minimize taxi idle times
A cold-start-free reinforcement learning approach for traffic signal control
Artificial intelligence for traffic signal control based solely on video images
Machine learning algorithms in ship design optimization
A robust machine learning structure for driving events recognition using smartphone motion sensors
Learning Drivers’ Behavior to Improve Adaptive Cruise Control
Efficient Exploitation of Existing Corporate Knowledge in Conceptual Ship Design
Reinforcement learning-enabled genetic algorithm for school bus scheduling
An automatic methodology to measure drivers’ behavior in public transport
Asynchronous n-step Q-learning adaptive traffic signal control
Using kinematic driving data to detect sleep apnea treatment adherence
Estimating cycle-level real-time traffic movements at signalized intersections
Neural-network-based modelling and analysis for time series prediction of ship motion
Electric vehicle charging demand forecasting using deep learning model
Arterial corridor travel time prediction under non-recurring conditions
Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information
Multimode trip information detection using personal trajectory data
Problems Encountered during Implementation of the Backpropagation
Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic
Price incentive strategy for the E-scooter sharing service using deep reinforcement learning
A human-centric machine learning based personalized route choice prediction in navigation systems
Identifying traffic conditions from non-traffic related sources
Traffic Route Generation and Adaptation Using Case-Based Reasoning