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Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
An Agent-Based Modelling Framework for Driving Policy Learning in Connected and Autonomous Vehicles
Exploring Deep Learning in Road Traffic Accident Recognition for Roadside Sensing Technologies
A Review on Behavioural Biometric GAIT Recognition
Object Detection and Pattern Analysis in an Autonomous Car
Multi-agent reinforcement learning for autonomous vehicles: a survey
Towards Ontology-Guided Learning for Shepherding
A Study on Web2.0 Blending Learning
A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management
Modeling Human Motor Skills to Enhance Robots’ Physical Interaction
Traffic Rule Violation Detection System: Deep Learning Approach
ML of Choosing: Architecting Intelligent Choice Framework
An Overview of Real-Time Traffic Sign Detection and Classification
Explainable AI in ITS: Ethical Concerns
Vehicle Classification for Autonomous Vehicles Using Transfer Deep Learning
DCOP: Deep Learning for Road Safety System
Apprenticeship Bootstrapping Reinforcement Learning for Sky Shepherding of a Ground Swarm in Gazebo