Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

3D Virtual Reality System for Digital Tourism Visualization in Smart Cities

Download98 downloads
  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342639,
        author={Suiling  Ou},
        title={3D Virtual Reality System for Digital Tourism Visualization in Smart Cities},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={smart city digital tourism 3d virtual reality system urban planning 3d modeling},
        doi={10.4108/eai.17-11-2023.2342639}
    }
    
  • Suiling Ou
    Year: 2024
    3D Virtual Reality System for Digital Tourism Visualization in Smart Cities
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342639
Suiling Ou1,*
  • 1: Guangdong Business and Technology University, Zhaoqing, 526060, Guangdong, China
*Contact email: ousuiling@163.com

Abstract

As a high-tech emerging in the field of graphics and images in recent years, three-dimensional virtual reality systems mainly rely on computer simulation to create a three-dimensional virtual world. However, through the simulation of visual, jerk, and tactile organs, users can feel incredibly realistic. This high-tech has started to be applied in various fields in recent years, so this article aims to study whether the digital tourism industry in the context of smart cities is suitable for using this technology. At the end of this article, the passenger flow of a certain scenic spot before and after loading the 3D virtual reality system is statistically analyzed. The average passenger flow before loading is about 3314 people, and the average passenger flow after loading is about 4536 people. It can be seen that with the support of this technology, the passenger flow has been significantly improved.