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Investigation of methods and approaches for collecting and recording highway inventory data.

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English


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  • Abstract:
    Many techniques for collecting highway inventory data have been used by state and local agencies in the U.S. These

    techniques include field inventory, photo/video log, integrated GPS/GIS mapping systems, aerial photography, satellite

    imagery, virtual photo tourism, terrestrial laser scanners, mobile mapping systems (i.e., vehicle-based LiDAR, and airborne

    LiDAR). These highway inventory data collection methods vary in terms of equipment used, time requirements, and costs.

    Each of these techniques has its specific advantages, disadvantages, and limitations. This research project sought to

    determine cost-effective methods to collect highway inventory data not currently stored in IDOT databases for implementing

    the recently published Highway Safety Manual (HSM). The highway inventory data collected using the identified methods can

    also be used for other functions within the Bureau of Safety Engineering, other IDOT offices, or local agencies. A thorough

    literature review was conducted to summarize the available techniques, costs, benefits, logistics, and other issues associated

    with all relevant methods of collecting, analyzing, storing, retrieving, and viewing the relevant data. In addition, a web-based

    survey of 49 U.S. states and 7 Canadian provinces has been conducted to evaluate the strengths and weaknesses of various

    highway inventory data collection methods from different state departments of transportation. To better understand the

    importance of the data to be collected, sensitivity analyses of input variables for the HSM models of different roadway types

    were performed. The field experiments and data collection were conducted at four types of roadway segments (rural two-lane

    highway, rural multi-lane highway, urban and suburban arterial, and freeway). A comprehensive evaluation matrix was

    developed to compare various data collection techniques based on different criteria. Recommendations were developed for

    selecting data collection techniques for data requirements and roadway conditions.

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    urn:sha-512:8f555735b3e020c5b89ea235301f87f4ad5cce556d7f00385e3a709f8c553dc2aacad44f1c9566fccaabad696e599c130c8d3010986dfdff8baa2c2bf7c2aa97
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    Filetype[PDF - 3.93 MB ]
File Language:
English
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