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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
File Language:
English
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