United States Department of Transportation
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Development and Application of Environmentally Friendly Intelligent Transportation System (ECO-ITS) Freight Strategies [Supporting Dataset]
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2022-06-01
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Alternative Title:Real-World Heavy-Duty Truck Trajectories on Signalized Corridors [Dataset landing page Title]
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Abstract:In the last few decades, efforts to reduce emissions from heavy-duty diesel trucks (HDDTs) and their health impacts have been focused on imposing increasingly stringent emissions standards. This has led to significant advancements in emission control technologies and alternative fuel vehicle technologies. While these technologies are effective at reducing emissions from HDDTs, the turnover of the existing HDDT population to these advanced technologies would require a large amount of investment and along time. In the near term, other efforts to reduce emissions of the existing HDDTs and mitigate their impacts on communities are needed. Many studies have shown the promise of intelligent transportation systems (ITS) technologies in reducing the energy consumption and environmental footprint of people and goods movement through various means. This research is aimed at developing and evaluating eco-friendly ITS strategies for freight vehicles and traffic, with a focus on strategies that are applicable to the transportation systems in the South Coast Air Basin. Four specific strategies are examined in this research, including: 1) connected eco-driving, 2) truck eco-routing, 3) integrated traffic control, and 4) intelligent parking assist. This report describes the evaluation of each strategy, discusses results, and provide recommendations for future implementation. The total size of the described zip file is 3.52 MB. 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.
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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 2022-11-11. 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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