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Recent Advancements and Research Challenges in Design and Implementation of Autonomous Vehicles
GSA‐ELM: A hybrid learning model for short‐term traffic flow forecasting
PLSAV: Parallel loop searching and verifying for loop closure detection
Detecting and interpreting non‐recurrent congestion from traffic and social media data
Hybrid model for predicting anomalous large passenger flow in urban metros
Understanding drivers' route choice behaviours in the urban network with machine learning models
Use of learning classifier systems in microscopic toll plaza simulation models
Unsupervised hybrid anomaly detection model for logistics fleet management systems
Driver identification in intelligent vehicle systems using machine learning algorithms
Lane detection method based on lane structural analysis and CNNs
Prediction of energy consumption for new electric vehicle models by machine learning