<p>Vehicular Ad hoc Networks (VANETs) are designed to facilitate communication between vehicles on the road. These networks have a crucial role in improving road safety, traffic efficiency, and provide various infotainment and communication services to vehicle occupants. Routing protocols in VANETs are responsible for determining the routes that data packets should take to reach their intended destinations. In recent years, many research efforts have focused on modifying existing routing protocols to enhance the stability of the source-destination route in VANETs. However, these protocols still have some notable technical limitations, particularly in terms of the limited available bandwidth and the mobility of vehicles. VANETs require specialized routing protocols that can adapt to rapidly changing network topologies and deliver messages efficiently. To overcome these issues, a novel routing protocol named Mobility Prediction and Reliable Aware (MPRA) routing protocol based on fuzzy logic is proposed for VANETs. The proposed routing scheme uses fuzzy logic to assess the link quality between two vehicles by capturing multiple metrics such as available bandwidth, link delay estimation, and hop count. In this routing scheme, all available resources are combined into a single fuzzy cost function. Furthermore, a novel mobility prediction mechanism is proposed to find the remaining lifetime of the route. The optimal route will be selected to transmit data that has the maximum lifetime and fuzzy cost function. This routing scheme can potentially lead to more efficient and reliable data transmission in VANETs. The simulation results reveal that the proposed routing protocol outperforms LSENN, EHACORP, and AODV routing protocols. The proposed routing scheme improves packet delivery ratio by 3.71%, and reduces end-to-end delay by 7.65%. Additionally, it achieves a 36.32% reduction in routing overhead load. The proposed routing scheme also significantly improves the network throughput by 12.75%.</p>