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Analyzing Road Coverage of Public Vehicles According to Number and Time Period for Installation of Road Inspection Systems

Bibliographic Data

ID22031763
AuthorsTakehiro Kashiyama (0000-0002-3097-2877, The University of Tokyo, corresponding author), Yoshihide Sekimoto (0000-0003-0305-7056, The University of Tokyo), Toshikazu Seto (0000-0003-0281-1790, Tokyo University of Information Sciences), Ko Ko Lwin (0000-0002-2750-3260, The University of Tokyo)
Year2020
Volume9
Issue3
Pages161
Publication date2020-03-10
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi9030161
OpenAlexW3012233154
LanguageEN
Citations received1
References cited13

Shortages of engineers and financial resources have made it difficult for municipalities to identify and address problems with aging road infrastructures. To resolve these problems, numerous studies have focused on automating road inspection, including a study in which we developed a smartphone-based road inspection system. For efficient operation of the system, it is necessary to understand the usage of vehicles in which the system will be installed. In this study, we analyzed the usage of public vehicles with long-term global positioning system (GPS) probe data collected from public vehicles operating in Kakogawa city and Fujisawa city in Japan. As a result, we discovered that local governments of the same size have similar tendencies in terms of road coverage. Moreover, we found that installing road inspection systems on only a few public vehicles can cover the entire road inspection area. We anticipate that these results will assist local governments in making informed decisions during the system introduction process and provide an indicator of the accuracy required for road inspection systems to future researchers

Business · Economic shortage · Geography · Global Positioning System · Installation · Public work · Road map · Telecommunications · Transport engineering · Computer Science · Engineering · Infrastructure Maintenance and Monitoring · Traffic Prediction and Management Techniques · Underground infrastructure and sustainability

  • Spatial Data Science

    Open Access•Fernando Bação, Maribel Yasmina Santos et al.•ISPRS International Journal of…•2020

Citations per year0.17
Citation span2020 - 2020 (1)
Highly citedNo

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