Data Fusion to Improve the Accuracy of Traffic Counts [supporting dataset]
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Data Fusion to Improve the Accuracy of Traffic Counts [supporting dataset]

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  • Resource Type:
    Dataset
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  • Corporate Publisher:
    Center for Connected Multimodal Mobility, Clemson University
  • Abstract:
    This study investigated the use of data fusion of two different traffic counting and classification methods. While sensor level fusion using thermal and optical images was investigated, it was not found useful by our approaches. The decision-level fusion method for pneumatic tube and infrared video is presented. The method was validated at three different locations in South Carolina. Errors in vehicle counts and vehicle classification were calculated using manual data collection from recorded videos as the baseline. In all locations, the results of data fusion are more accurate in both vehicle counts and vehicle classification when compared to either of the methods alone.

    The total size of both zip files is over 95 GB. The .xlsx, .xlsm and .xls file types are Microsoft Excel files, which can be opened with Excel, and other free available spreadsheet software, such as OpenRefine. The .xml file type is commonly used for files written in Extensible Markup Language (XML). XML is a human-readable, machine-understandable, general syntax for describing hierarchical data, applicable to a wide range of applications (for more information on .xml files and software, please visit https://www.file-extensions.org/xml-file-extension). The .jpg file extension is associated with JPEG (Joint Photographic Experts Group) file format. JPEG is a lossy image compression algorithm that significantly reduces the file size of the original image at the cost of quality. The higher the compression ratio the lower the quality of the .jpg file (for more information on .jpg files and software, please visit https://www.file-extensions.org/jpg-file-extension). The file format .avi is an audiovisual file format. This file can be opened using most video players, including VLC media player (for more information on .avi files and software, please visit https://www.file-extensions.org/avi-file-extension). The file extension .png is commonly used for images in Portable Network Graphics file format. PNG is a bitmap graphics format similar to GIF, that uses image compression mainly for web purposes (for more information on .png files and software, please visit https://www.file-extensions.org/png-file-extension). The .bmp file extension is the bitmap file format. Bitmap images, also known as rastar files, are standard, non-compressed bit-mapped graphics format used by Windows and GIS software (for more information on .bmp files and software, please visit https://www.file-extensions.org/bmp-file-extension). The .sqlite file type is a SQL database file. This file functions as an in-process library and can implement a self-contained, server-less, zero-configuration, transactional SQL database engine (for more information on .sqlite files and software, please visit https://www.file-extensions.org/sqlite-file-extension). The .torrent file format is for peer-to-peer file distribution, usually associated with BitTorrent. These files are not the download itself, but instead the protocol that facilitates the downloading and sharing of files (for more information on .torrent files and software, please visit https://www.file-extensions.org/torrent-file-extension).

  • Content Notes:
    Dataset Location: The main dataset page is a GitHub README file with 2 links (https://github.com/reek129/C2m2). The dataset is currently stored on the Internet Archive. The item "c2m2_qeloise_data" is currently too large to be zipped by the Internet Archive. To access this item, please contact the Internet Archive team (info@archive.org).

    GitHub: https://github.com/reek129/C2m2

    c2m2_qeloise_data: https://archive.org/details/c2m2_qeloise_data

    c2m2_qeloise_thermal_data_combined: https://archive.org/details/c2m2-qeloise-thermal-data-combined

    National Transportation Library (NTL) Curation Note: As this dataset is preserved in a repository outside U.S. DOT control, as allowed by the U.S. DOT’s Public Access Plan (https://doi.org/10.21949/1503647) Section 7.4.2 Data, the NTL staff has performed NO additional curation actions on this dataset. This dataset has been curated to CoreTrustSeal's curation level "C. Initial Curation." To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.8083359). NTL staff last accessed this dataset at its repository URL on 2024-0-30. If, in the future, you have trouble accessing this dataset at the host repository, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.

  • Format:
    ZIP
  • Funding:
    69A3551747117
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