Design and Application of Airport Barrier-free Guide System Based on Virtual Reality Technology
Abstract
The Civil Aviation Administration of China (CAAC) has introduced a series of policies on airport accessibility infrastructure, which has clarified the direction for upgrading airport accessibility services and created urgent demands for the development and implementation of intelligent accessibility devices. Currently, most domestic airports still face challenges in accessibility design, including reliance on traditional facilities, lack of smart navigation systems, insufficient coverage in complex areas, and difficulties in adapting to the personalized travel needs of visually impaired passengers. These issues significantly impact the efficiency and experience of airport travel for the visually impaired community. The rapid development of virtual reality (VR) technology, with its capabilities in high-fidelity scene replication, immersive interactive perception, and precise spatial modeling, provides critical technical support for overcoming bottlenecks in airport accessibility smart device development. This holds significant practical value for enhancing the scene adaptability and user-friendliness of accessibility devices. Based on this, this paper focuses on airport accessibility guidance as a core application scenario, conducting research on the design and application of VR-integrated guidance systems. The study defines core system requirements and design principles, completes hardware selection and software module development, and validates system performance through scenario simulation tests. The research confirms that this VR-guided system effectively addresses pain points in existing airport accessibility services, aligns with CAAC's policy requirements, and creates safe, efficient, and convenient travel paths for visually impaired passengers. It also provides a practical model for technological innovation and application implementation of accessibility smart devices in the transportation sector.
Full Text:
PDFDOI: https://doi.org/10.22158/mmse.v8n1p1
Refbacks
- There are currently no refbacks.
Copyright (c) 2026 Yang Zhang, Yongqiang Shan, Yifei Su

This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright © SCHOLINK INC. ISSN 2052-2576