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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

Fully Distributed Prescribed-Time Optimization With Time-Varying Cost Function

DPDRF: Dynamic Predictive Driving Risk Field Based on Multi-Agent Trajectory Prediction and Digital Twins System

Hierarchical Federated Learning in Inland Waterways via Dataset Distillation and Resource Allocation

SiamTADT: A Task-Aware Drone Tracker for Aerial Autonomous Vehicles

Real-Time Navigation of Unmanned Ground Vehicles in Complex Terrains With Enhanced Perception and Memory-Guided Strategies

Adaptive Path-Tracking Controller Embedded With Reinforcement Learning and Preview Model for Autonomous Driving

Event-Triggered Formation Control of Unknown Autonomous Underwater Vehicles Subject to Arbitrarily Large Time-Varying Communication Delays

Dynamic Cumulative Human-Like Brake Control Modeling for Autonomous Vehicle Collision Analysis

Transactions on Vehicular Technology Popular Articles

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

Deep Reinforcement Learning Based Resource Allocation for V2V Communications

Multi-UAV Adaptive Cooperative Formation Trajectory Planning Based on an Improved MATD3 Algorithm of Deep Reinforcement Learning

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

Secure Rate Maximization for ISAC-UAV Assisted Communication Amidst Multiple Eavesdroppers