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

Jaiteg Singh (), Noopur Tyagi, Saravjeet Singh, Ahmad Ali AlZubi (), Firas Ibrahim AlZubi, Sukhjit Singh Sehra and Farman Ali
Additional contact information
Jaiteg Singh: Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India
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

Sustainability, 2023, vol. 15, issue 22, 1-17

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.

Keywords: 3D RIF; QGIS; PostgreSQL; routing; 3D modelling; indoor positioning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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