United States Department of Transportation
i
Machine Learning-Based High-Fidelity Mesoscopic Modeling Tool for Traffic Network Optimization [supporting dataset]
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2023-06-13
[JSON-2.71 KB]
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Alternative Title:Replication Data for: Machine Learning-Based High-Fidelity Mesoscopic Modeling Tool for Traffic Network Optimization
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Abstract:Traffic signal control of the future will adapt in real time to traffic, driving, and environmental conditions. The adaptations will require real-time optimization based on traffic monitoring. However, for optimization to work, it must be able to predict what traffic will do in response to changes in signal timing. Furthermore, it must do this prediction very efficiently, in a short time horizon, so that the optimization process can evaluate many alternative signal timing parameters. Instead of using a “one size fits all” legacy function for prediction of traffic flow, this project took steps to pioneer the use of machine learning techniques to learn how traffic behaves on particular segments of streets in response to traffic and driving conditions and used that learning to build a high-speed simulator to predict the arrival times of cars at intersections.
The size of the zip file is 75.2 KB. The .txt file type is a common text file, which can be opened with a basic text editor. The most common software used to open .txt files are Microsoft Windows Notepad, Sublime Text, Atom, and TextEdit (for more information on .txt files and software, please visit https://www.file-extensions.org/txt-file-extension). 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. The most common software used to open .csv files are Microsoft Excel and RecordEditor, (for more information on .csv files and software, please visit https://www.file-extensions.org/csv-file-extension). The .py file extension is commonly used for files containing source code written in Python programming language. Python is a dynamic object-oriented programming language that can be used for many kinds of software development (for more information on .py files and software, please visit https://www.file-extensions.org/py-file-extension).
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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 2023-12-07. 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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