Recent research in trust management for Vehicular Ad Hoc Networks (VANETs) focuses on establishing reliable communication among vehicles while mitigating malicious behavior and false information dissemination. Modern trust frameworks employ blockchain technology, fuzzy logic, Bayesian inference, and machine learning to evaluate vehicle credibility based on behavior, message consistency, and context awareness. These mechanisms enhance security, privacy, and cooperation in dynamic vehicular environments. Studies have also explored lightweight and scalable trust models suitable for 5G-enabled VANETs and Internet of Vehicles (IoV), ensuring low latency and high detection accuracy. Overall, the latest advancements emphasize decentralized, adaptive, and privacy-preserving trust management schemes to strengthen security and reliability in next-generation vehicular networks.