Over the past three decades, wireless communication has seen a significant surge, with Vehicular Networks emerging as a prominent area of interest for researchers. Managing mobility in these networks presents a considerable challenge. Vehicles moving between roadside units or base stations can experience disruptions in real-time services such as Voice over IP (VoIP), media streaming, safety-critical data transmission, and gaming. Due to the typically high speed of vehicles, these movements often result in handovers and packet loss. This research introduces a novel approach to mobility management and handover execution for mobile vehicles travelling on highways, differing from traditional methods. The proposed model predicts a vehicle’s movement from one base station to the next using a probabilistic method by the correspondent node, which then initiates the binding refresh procedure accordingly. This approach reduces control traffic overhead and packet loss, leading to more efficient use of limited wireless resources. The performance of the proposed algorithm has been evaluated through simulation, demonstrating its effectiveness in reducing packet loss, handover delay, and control traffic overhead.