Implementing Suburban Transport Demand Planning with Metaverse and Digital Twin Models

• Published in: Systems of Signals Generating and Processing in the Field of on Board Communications (Online) pp. 1 - 5
• Main Authors: Ostroukh, A. V., Kuftinova, N. G., Pronin, C. B., Ivanov, A. M., Silakov, A. V.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 12.03.2024
• Subjects: Artificial Intelligence (AI); Correlation; data model correlation; Data models; digital twin (DT); mathematical model of transport planning; Mathematical models; Metaverse; Planning; Solid modeling; structured data sets; suburban transport planning model; Training; virtual reality (VR)
• ISSN: 2768-0118
• DOI: 10.1109/IEEECONF60226.2024.10496746

This article discusses the issue of developing transport systems based on metaverse technology for planning decisions on managing transport suburban in an augmented reality and virtual reality environment when collecting and analyzing digital data to understand the forecast of the future display of the virtual world based on the rapid response of various transport units based on rapid training on real simulated objects of the transport and road network. Thus, the use of virtual reality in planning a transport suburban helps to increase the efficiency and safety of the transport system, as well as improve the quality of life of citizens. The mathematical model of the transport network under study considered, based on the technology of the metaverse, augmented reality and data from the digital twin of the urban suburban.