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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
An automatic methodology to measure drivers’ behavior in public transport
Reinforcement learning-enabled genetic algorithm for school bus scheduling
Using kinematic driving data to detect sleep apnea treatment adherence
Asynchronous n-step Q-learning adaptive traffic signal control
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Arterial corridor travel time prediction under non-recurring conditions
Estimating cycle-level real-time traffic movements at signalized intersections
Multimode trip information detection using personal trajectory data
Neural-network-based modelling and analysis for time series prediction of ship motion
Electric vehicle charging demand forecasting using deep learning model
Deep Architecture for Citywide Travel Time Estimation Incorporating Contextual Information
Problems Encountered during Implementation of the Backpropagation
Price incentive strategy for the E-scooter sharing service using deep reinforcement learning
Driver’s black box: a system for driver risk assessment using machine learning and fuzzy logic
Fusion attention mechanism bidirectional LSTM for short-term traffic flow prediction
A human-centric machine learning based personalized route choice prediction in navigation systems
Identifying traffic conditions from non-traffic related sources
Propeller optimization by interactive genetic algorithms and machine learning
Traffic Route Generation and Adaptation Using Case-Based Reasoning
Simulation-driven design of a fast monohull