For different intelligent transports applications, the vehicular ad hoc network (VANET) is one of the most used and facilitating systems for the autonomous driving, easing of congestion in the networks and avoiding any particular traffic accidents. This paper focuses mainly on the safety application with which vehicles sense and process safety signals that have strict requirements on the timeliness and reliability. This research project is motivated by the urgency of generating the VANET’s disseminated safety alerts in a very reliable time frame. This research is performed by developing a reliable Vector Clustering (RVC) model including vehicle cluster construction, neighbor node identification, and network coding based broadcasting coded data to reliably deliver the broadcasted safety signals. We report the results of simulation studies and an analytical model made to test this generated model. The developed method efficacy has been contrasted in simulation experiments, and the analytical framework has proposed a criterion to help in selecting the best vehicle to act as the cluster head node. Our simulation tests have shown that the proposed RVC method outperforms the existing approaches for improved packet delivery ratio and probability of packet error recovery. Simulate QoS factors such as packet delivery ratio and packet drop in vehicle ad hoc networks.