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Advanced accident prediction models and impacts assessment
Automatic classification of traffic incident's severity using machine learning approaches
Comparative analysis of implicit models for real‐time short‐term traffic predictions
Deep learning methods in transportation domain: a review
Detecting and interpreting non‐recurrent congestion from traffic and social media data
Driver identification in intelligent vehicle systems using machine learning algorithms
GSA‐ELM: A hybrid learning model for short‐term traffic flow forecasting
Hybrid machine learning and optimisation method to solve a tri‐level road network protection problem
Hybrid model for predicting anomalous large passenger flow in urban metros
Lane detection method based on lane structural analysis and CNNs
Machine‐learning methodology for energy efficient routing
PLSAV: Parallel loop searching and verifying for loop closure detection
Prediction of energy consumption for new electric vehicle models by machine learning
Recent Advancements and Research Challenges in Design and Implementation of Autonomous Vehicles
Smartphone‐based fatigue detection system using progressive locating method
Understanding drivers' route choice behaviours in the urban network with machine learning models
Unsupervised hybrid anomaly detection model for logistics fleet management systems
Use of learning classifier systems in microscopic toll plaza simulation models
Value‐based deep reinforcement learning for adaptive isolated intersection signal control