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The purpose of the IEEE Transactions on Vehicular Technology is to publish high-quality, peer-reviewed papers on electrical and electronics technology in vehicles and vehicular systems.

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Transactions on Vehicular Technology Current Issue

Table of Contents

IEEE Vehicular Technology Society Publication Information

IEEE Vehicular Technology Society Information

Make Sufficient Probing: A Reinforcement Learning-Based Motion Planning Method for Dense Merging Scenarios

Efficient Deep Reinforcement Learning With Expert Demonstrations for Human–Machine Shared Steering Control Under Emergency Obstacle Avoidance Conditions

A Novel Option Policy Driven Hierarchical Deep Reinforcement Learning for Autonomous Vehicle Overtaking Maneuver

Cloud-Enabled Workflow-Based Real-Time MPC for Autonomous Vehicle Dynamical Trajectory Tracking

Unsignalized Intersection Management Strategy for Mixed Autonomy Traffic Streams

Trajectory Prediction for Connected and Autonomous Vehicles in Adverse Weather Conditions: A Deep Learning Approach Integrating Turning Maneuver Recognition

A Path Planning Method for Autonomous Vehicles on Off-Road Terrain Considering Driving Comfort and Distance

Transactions on Vehicular Technology Popular Articles

PPRU: A Privacy-Preserving Reputation Updating Scheme for Cloud-Assisted Vehicular Networks

SiC MOSFETs: The Inevitable Trend for 800V Electric Vehicle Air Conditioning Compressors

Deep Reinforcement Learning Based Resource Allocation for V2V Communications

Embedded Pilot-Aided Channel Estimation for OTFS in Delay–Doppler Channels

Joint Beamforming and Trajectory Design for Multi-Antenna UAV-Enabled ISAC