Developing a Scalable, AI-Enhanced VR Platform for Aviation Training: Commercial Aircraft Case Studies
Received: 6 October 2025 | Revised: 9 November 2025, 30 November 2025, and 20 December 2025 | Accepted: 21 December 2025 | Online: 4 February 2026
Corresponding author: Hoang Nguyen The
Abstract
The need for resilient and adaptable training solutions in the aviation industry requires innovation beyond traditional methods. Virtual Reality (VR) provides immersive simulation, while Artificial Intelligence (AI) enables greater personalization and interaction. This paper presents the development of an evolving self-designed VR platform for aviation training, outlining a scalable design process and its progression from baseline applications to AI-augmented functionality using commercial aircraft (Airbus A320) case studies. The proposed method establishes the principles for the development of the core VR platform to ensure scalability, applicability, and efficiency across related projects. Progressive development is illustrated through case studies ranging from VR-based landing-gear maintenance to VR/AI-integrated aircraft walkaround procedures. Early feedback indicates positive perceptions of the platform among trainees, even within short pilot interventions. The combination of VR environments and AI-powered extensions, supported by an extensible architecture, offers a promising path toward more customized, effective, and intelligent training, with the potential for operational efficiency for aviation stakeholders.
Keywords:
Virtual Reality (VR), Artificial Intelligence (AI), scalable architecture, aviation training, commercial aircraftDownloads
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