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Introduction: Rabi’s Driver Training (RDT) model is obtained due to an enhanced Recognition Primed Decision (RPD) component of the Integrated Decision-making Model (IDM). Originally, the IDM had only six (6) training factors which meant for the decision process of pilots, while the enhanced model had additional eighteen (18) training factors making a total of twenty-for (24). Generally, the IDM had twelve (12) factors, 6 from the awareness component of the model that deals with the Situation Awareness (SA) and 6 from the training component that deals with the prime decision making process of the pilots respectively. The RDT model had thirty-one (31) factors, seven (7) for the awareness that deals with the Situation Awareness (SA) of the driver while the twenty-four (24) deals with the training and prime decision-making process of the drivers respectively. Problem: The model was developed conceptually based on cognitive and decision-making theories. However, it is not been evaluated. Solution: In this paper, the evaluation of the model is achieved in two phase approach; verification and validation. The verification is achieved via automated and mathematical analyses. The validation is realized by testing application using human experiment. Contribution: The main contribution of this research is the evaluated model. Method: For the model to be evaluated, it has passed through the developmental stage where conceptual model after it formation was transformed into mathematical model. The mathematical models obtained was computerised and simulated using MATrix LABoratory (MATLAB) to become Computational Rabi’s Driver Training model (C-RDT). Result: The two methods used for evaluating the model proved that additional training factors to the RDT model improved driver’s prime decision-making. Conclusion: This paper presented an evaluation of C-RDT model for Primed Decision-making using verification and validation analyses approach.