Recent research on location privacy in Vehicular Ad Hoc Networks (VANETs) delves into protecting the movement and identity of vehicles against tracking and inference attacks by adversaries exploiting broadcast beacons and shared location data. Key advancements include context-aware pseudonym?changing strategies, cryptographic mix-zones, and obfuscation techniques that increase the anonymity set and unlinkability of vehicle trajectories. Mechanisms such as density-based location privacy, group pseudonym updates, and federated or blockchain-enabled protocols are being introduced to balance the trade-off between privacy and service quality in high-mobility vehicular environments. Concurrently, papers highlight how intelligent adversaries can optimize eavesdropper placement using traffic and topology knowledge, underscoring the need for adaptive, scalable solutions tailored to realistic attack models and varying density road scenarios.