The Implementation Challenges of Immersive Technologies in Transportation Simulation

Innovation, effective management of change, and integrating human factor elements into flight operations control distinguishing features of the aviation sector. Immersive technologies (Augmented, Virtual, and Mixed Reality – Digital Twins technology) can be used in aviation training programs to provide an immersive and interactive learning experience for all aviation professionals. Adapting an aviation immersive technology environment in transportation simulation can allow the implementation of new training approaches in a safe and controlled environment without the risk of actual flight or equipment damage. Digital twins are used to create realistic flight simulations, allowing aviation ecosystem actors to practice their skills in various scenarios and conditions. This helps to improve safety and prepare aviation experts for unexpected events during actual flight. Another use for Augmented, Virtual, and Mixed Reality Simulation in aviation training programs is maintenance training. Moreover, Digital Twins can simulate maintenance procedures on aircraft and aviation systems, allowing SMEs to enhance their knowledge and practice their skills in a safe, cost-effective, and controlled environment. Purdue University School of Aviation and Transportation Technology (SATT) Ecosystems' Artificial Intelligence (AI) research roadmap aims to introduce digital twins in aviation training programs to simulate flight-airport operations and air traffic scenarios. Moreover, Purdue's Artificial Intelligence approach for Augmented, Virtual, and Mixed Reality Simulation / Digital Twins focuses on the potential to improve the effectiveness and efficiency of aviation training programs (CBTA globally) by providing a more realistic and immersive learning experience {lean process for training/certification, transition to AI – Advanced Air Mobility (AAM) environment}. Furthermore, this research focuses on implementing challenges and mitigating residual risk in the 'AI black box.' Results were analyzed and evaluated the Artificial Intelligence certification and learning assurance challenges under the Augmented, Virtual, and Mixed Reality Simulation – Digital Twins aspects.