Vehicular Adhoc Networks(VANETs) plays a vital role in many real-time applications due to its topology structure, network size and communication. Node clustering , node inter clustering and intra clustering and node trustiness are the key parameters to improve the overall VANET efficiency. Conventional VANET clustering models are difficult to find and create the clusters based on dynamically changing locations and velocities. Also, in the intra clustering variation, as the number of cluster members are increasing in size, it is difficult create dynamic clusters based on the network topology. In order to overcome these issues, a hybrid VANET clustering framework is implemented based on node properties and trust values. Experimental results show that the present model has better efficiency than the traditional models.