Designing a reliable Vehicular Adhoc Network is challenging, due to the critical constraints in providing reliability with ensured data delivery and minimal latency simultaneously. Here, a fuzzy-based congestion control technique, to minimize latency and packet loss for high priority safety messages is proposed. Fuzzy logic is employed to provide multi-level priority assignment to the vehicles contending for channel access. Based on this priority, the queued messages in the Cluster Head are scheduled. NS-2 simulations prove that this technique improves the packet delivery and minimizes packet loss and channel access delay compared to cognitive radio based implementations at largely densed vehicular network.