High-Level Assessment ofStatewide GNSS-RTN Business Models

dc.contributor.authorAl-Kaisy, Ahmed
dc.contributor.authorRaza, Sajid
dc.date.accessioned2023-07-13T21:58:04Z
dc.date.available2023-07-13T21:58:04Z
dc.date.issued2023-06
dc.descriptionThis 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].en_US
dc.description.abstractThe 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.en_US
dc.identifier.citationAl-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).en_US
dc.identifier.urihttps://scholarworks.montana.edu/handle/1/17970
dc.language.isoenen_US
dc.rightscopyright ASCE Library 2023en_US
dc.rights.urihttps://ascelibrary.org/author-center/rights-permissionsen_US
dc.subjectGNSS-RTNen_US
dc.subjectbusiness modelen_US
dc.subjectgeospatial dataen_US
dc.subjecthighly accurate location servicesen_US
dc.titleHigh-Level Assessment ofStatewide GNSS-RTN Business Modelsen_US
dc.typeArticleen_US
mus.citation.conferenceInternational Conference on Transportation and Development 2023en_US
mus.citation.extentfirstpage1en_US
mus.citation.extentlastpage12en_US
mus.data.thumbpage2en_US
mus.relation.collegeCollege of Engineeringen_US
mus.relation.departmentCivil Engineering.en_US
mus.relation.universityMontana State University - Bozemanen_US

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