Transportation systems that are intelligent are frequently referred to as vehicular ad hoc networks (VANET). Road safety and traffic flow efficiency are increased by VANET, which guarantees prompt and accurate communications between vehicles and infrastructure (V2V and V2I). Given its strong mobility and open wireless boundaries, the most difficult issues in VANET are thought to be security and data transfer dependability. In order to improve data transmission security and reliability in automotive networks, this study proposes the creation of an architecture that incorporates random forest functions and exercises the trust algorithm notion. We create a simulation model based on real-world communication and traffic patterns. According to the simulation results, the suggested protocol used by the random forest framework with a trust foundation operates very well in terms of safe and secure and also dependability than the traditional methods of CDP and HEPPA. In addition, the simulation model is shown along with a point-by-point execution evaluation to show the feasibility and scalability of the suggested approach. The suggested TRFA scheme's performance is assessed in relation to various evolution metrics like packet delivery ratio, packet drop ratio, end-to-end time delay, and throughput performances across a range of network scenarios. The results show that the suggested trust-based random forest algorithm (TRFA) for secure data dissemination in VANET approach performs satisfactorily comparing than the existing systems of Cisco Delivery Protocol (CDP), Highly Efficient Privacy Preserving Authority (HEPPA) in the VANET environment.