High-Level Assessment ofStatewide GNSS-RTN Business Models

Loading...
Thumbnail Image

Date

2023-06

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

The applications of geospatial technologies and positioning data embrace every sphere of modern-day science and industry where geographical positioning matters. Among all other fields, geospatial technology plays a remarkable role in the transportation sector and has the potential to play an even more critical role in future autonomous transportation systems. In this regard, the GNSS-Real-Time Network (GNSS-RTN) technology is promising in meeting the needs of automation in most advanced transportation applications. The GNSS-RTN is a satellite-based positioning system that uses a network of reference stations to provide centimeter-level accuracy in positioning data in real-time. The technical aspect and working technology of GNSS-RTN are widely studied, however, only limited research has been conducted on the various GNSS-RTN business models currently in use nationally and internationally. Therefore, this study aims at assessing the various GNSS-RTN business models currently used in practice as well as those that are deemed potentially viable but have not yet moved to practice. Eight different business models were cataloged and used in the current assessment. All business models were assessed using three criteria: state control, sustainability, and state/agency costs. The findings of this research are important in helping state agencies make informed decisions as they build, expand or manage their own GNSS-RTN systems.

Description

This material may be downloaded for personal use only. Any other use requires prior permission of the American Society of Civil Engineers. This material may be found at [URL/link of abstract in the ASCE Library or Civil Engineering Database].

Keywords

GNSS-RTN, business model, geospatial data, highly accurate location services

Citation

Al-Kaisy, A., & Raza, S. (2023). High-Level Assessment of Statewide GNSS-RTN Business Models. In International Conference on Transportation and Development 2023 (pp. 424-437).
Copyright (c) 2002-2022, LYRASIS. All rights reserved.