Multi-Criteria Hazmat Routing on Rail with Railroad-Highway Crossing Considerations [Supporting Dataset]
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2019-01-01
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Abstract:This project analyzes different approaches for multi-criteria route selection for hazardous materials (hazmat) transportation on rail. Considering that hazmat transportation planning should regard many safety and risk factors, selecting a route for a shipment can be a challenging decision making problem. Furthermore, the safety and risk factors should be considered in an unbiased objective manner. Three unsupervised approaches are described route selection. A solution methodology is presented with these approaches. A set of numerical analyses is used to compare different approaches. Based on the results of the numerical analyses, it is discussed that, while each approach will output the best route based on a specific value, one of the approaches is more robust compared to the other two approaches. These approaches can be used by decision makers to select routes without a need for ranking and/or comparing various criteria. The total size of the described zip file is 51.1 MB. Files with the .xlsx extension are Microsoft Excel spreadsheet files. These can be opened in Excel or open-source spreadsheet programs. A file that ends in .m are files written in Objective-C. They help initialize variables and functions from other Objective-C source files. They can be viewed with Apple Xcode or using an iOS simulator. This file is used in conjunction with the .MAT file, which is a binary data container format used by MATLAB, an open source program.
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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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