United States Department of Transportation
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Integration and Operation of an Advanced Weigh-in-Motion (A-WIM) System for Autonomous Enforcement of Overweight Trucks [Supporting Dataset]
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2022-03-01
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Alternative Title:BQE WIM Data Year 5 (Integration and Operation of an Advanced Weigh-in-Motion (A-WIM) System for Autonomous Enforcement of Overweight Trucks)
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Edition:Final Report 03/01/21-09/30/22
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Abstract:The ultimate objective of this project is to assist and support the NYCDOT in establishing the legislation to operate the autonomous OW enforcement system and extend the service life of the BQE corridor. This project evaluates the effectiveness of the implemented enforcement system. The report first presents the work on the existing advanced weight-in-motion system (A-WIM) and proposed new A-WIM system, as well as the automated license plate recognition (ALPR) system. A new structural health monitoring (SHM) system was also implemented in the testbed to evaluate the responses of structures under the traffic. Then evaluations of the multiple systems in the testbed are presented by presenting the results of accuracy of different weighing sensors, and practices of automated enforcement. Lastly, reliability-based live load factors for bridge load rating are developed.
The total size of the described zip file is 1.83 GB. 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.
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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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