United States Department of Transportation
i
Towards Data-Driven and Continuous Safety Inspection of Commercial Trucks and Trailers [Supporting Dataset]
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2023-03-24
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By Tang, Pingbo
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Alternative Title:Commercial-Fleet-Management
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Edition:Final report
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Abstract:Currently, highway trucks (a.k.a. tractors) and trailers are subject to a patchwork of state and federal safety inspections which manually and periodically check safety components like tires, brakes, and lights either through planned or unannounced roadside inspections, which can delay deliveries and increase costs. We will partner with two Pennsylvania firms to create a connected truck system platform that can continuously monitor tractor-trailer safety, perform comparative analytics, and report the results of safety systems to entities like state police and departments of transportation (DOTs).
The total size of the described file is 225 KB. Files with the .xlsx extension are Microsoft Excel spreadsheet files. These can be opened in Excel or open-source spreadsheet programs. The .csv, Comma Separated Value, file is a simple format that is designed for a database table and supported by many applications. The .csv file is often used for moving tabular data between two different computer programs, due to its open format. Any text editor or spreadsheet program will open .csv files. Text files can be view in notepad or any document reading software. Python Files hold python project. They can be opened using open source software such as PyCharm. File extension .md is a standard markdown file and can be opened in a basic text editor.
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Content Notes: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. The current level of dataset documentation is the responsibility of the dataset creator. NTL staff last accessed this dataset at its repository URL on 2023-07-27. 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.
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