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    Transportation Distance Measurement Data Quality

    Source: Journal of Computing in Civil Engineering:;2003:;Volume ( 017 ):;issue: 002
    Author:
    William Rasdorf
    ,
    Hubo Cai
    ,
    Chris Tilley
    ,
    Soren Brun
    ,
    Hassan Karimi
    ,
    Forrest Robson
    DOI: 10.1061/(ASCE)0887-3801(2003)17:2(75)
    Publisher: American Society of Civil Engineers
    Abstract: Data quality and spatial data accuracy issues are critical to any geographic information systems (GIS) application, especially GIS applications in the transportation community. This paper addresses one specific aspect of spatial data accuracy issues, namely, linear measurement (length measurement), through a transportation case study. In the case study, an alternative to distance measurement instruments (DMI) was proposed to determine road lengths for interstate highways in North Carolina. In the proposed alternative, the road lengths were calculated by overlaying GIS roadway linework over elevation data—in this case the National Elevation Dataset, which was developed based on U.S. Geological Survey 7.5 min digital elevation models and calculating a centerline roadway slope distance. The results of this approach were collected and compared with DMI lengths to assess the accuracy of the proposed approach. Error sources were tentatively identified and control mechanisms were discussed. Computer tools and models used to model surfaces and roadway linework are emphasized in this paper. The computer algorithms used for length calculations and accuracy assessment are described. This research concluded that, by carefully controlling quality of both the roadway linework data and the elevation data, GIS programs can be written to provide accurate length measurements to the transportation community. Furthermore, instrumentation like global positioning systems, high resolution cameras, and precise odometers can be combined to create productivity enhancing automated engineering systems.
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      Transportation Distance Measurement Data Quality

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    http://yetl.yabesh.ir/yetl1/handle/yetl/43127
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    contributor authorWilliam Rasdorf
    contributor authorHubo Cai
    contributor authorChris Tilley
    contributor authorSoren Brun
    contributor authorHassan Karimi
    contributor authorForrest Robson
    date accessioned2017-05-08T21:13:00Z
    date available2017-05-08T21:13:00Z
    date copyrightApril 2003
    date issued2003
    identifier other%28asce%290887-3801%282003%2917%3A2%2875%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/43127
    description abstractData quality and spatial data accuracy issues are critical to any geographic information systems (GIS) application, especially GIS applications in the transportation community. This paper addresses one specific aspect of spatial data accuracy issues, namely, linear measurement (length measurement), through a transportation case study. In the case study, an alternative to distance measurement instruments (DMI) was proposed to determine road lengths for interstate highways in North Carolina. In the proposed alternative, the road lengths were calculated by overlaying GIS roadway linework over elevation data—in this case the National Elevation Dataset, which was developed based on U.S. Geological Survey 7.5 min digital elevation models and calculating a centerline roadway slope distance. The results of this approach were collected and compared with DMI lengths to assess the accuracy of the proposed approach. Error sources were tentatively identified and control mechanisms were discussed. Computer tools and models used to model surfaces and roadway linework are emphasized in this paper. The computer algorithms used for length calculations and accuracy assessment are described. This research concluded that, by carefully controlling quality of both the roadway linework data and the elevation data, GIS programs can be written to provide accurate length measurements to the transportation community. Furthermore, instrumentation like global positioning systems, high resolution cameras, and precise odometers can be combined to create productivity enhancing automated engineering systems.
    publisherAmerican Society of Civil Engineers
    titleTransportation Distance Measurement Data Quality
    typeJournal Paper
    journal volume17
    journal issue2
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/(ASCE)0887-3801(2003)17:2(75)
    treeJournal of Computing in Civil Engineering:;2003:;Volume ( 017 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian