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Enhancing Indoor Navigation in Intelligent Transportation Systems with 3D RIF and Quantum GIS

Author

Listed:
  • Jaiteg Singh

    (Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India
    These authors contributed equally to this work and are co-first authors.)

  • Noopur Tyagi

    (Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India)

  • Saravjeet Singh

    (Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India)

  • Ahmad Ali AlZubi

    (Department of Computer Science, Community College, King Saud University, Riyadh 11495, Saudi Arabia)

  • Firas Ibrahim AlZubi

    (Information System & Networks Department, The World Islamic Sciences & Education University W.I.S.E, Amman 11947, Jordan)

  • Sukhjit Singh Sehra

    (Department of Physics and Computer Science, Wilfrid Laurier University, Waterloo, ON N2L 3C5, Canada)

  • Farman Ali

    (Department of Computer Science and Engineering, School of Convergence, College of Computing and Informatics, Sungkyunkwan University, Seoul 03063, Republic of Korea
    These authors contributed equally to this work and are co-first authors.)

Abstract

Innovative technologies have been incorporated into intelligent transportation systems (ITS) to improve sustainability, safety, and efficiency, hence revolutionising traditional transportation. The combination of three-dimensional (3D) indoor building mapping and navigation is a groundbreaking development in the field of ITS. A novel methodology, the “Three-Dimensional Routing Information Framework “(3D RIF), is designed to improve indoor navigation systems in the field of ITS. By leveraging the Quantum Geographic Information System (QGIS), this framework can produce three-dimensional routing data and incorporate sophisticated routing algorithms to handle the complexities associated with indoor navigation. The paper provides a detailed examination of how the framework can be implemented in transport systems in urban environments, with a specific focus on optimising indoor navigation for various applications, including emergency services, tourism, and logistics. The framework includes real-time updates and point-of-interest information, thereby enhancing the overall indoor navigation experience. The 3D RIF’s framework boosts the efficiency and effectiveness of intelligent transportation services by optimising the utilisation of internal resources. The research outcomes are emphasised, demonstrating a mean enhancement of around 25.51% in travel. The measurable enhancement highlighted in this statement emphasises the beneficial influence of ITS on the efficiency of travel, hence underscoring the significance of the ongoing progress in this field.

Suggested Citation

  • Jaiteg Singh & Noopur Tyagi & Saravjeet Singh & Ahmad Ali AlZubi & Firas Ibrahim AlZubi & Sukhjit Singh Sehra & Farman Ali, 2023. "Enhancing Indoor Navigation in Intelligent Transportation Systems with 3D RIF and Quantum GIS," Sustainability, MDPI, vol. 15(22), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15833-:d:1277863
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    References listed on IDEAS

    as
    1. Huajun Zhang & Qin Zhao & Zihui Cheng & Linfan Liu & Yixin Su, 2021. "Dynamic Path Optimization with Real-Time Information for Emergency Evacuation," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-9, August.
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