Research data for PhD thesis "Multi-Level and Learning-Based Model Predictive Control for Traffic Management"
DOI:10.4121/97751b97-e421-426b-b09a-d7b975e0f2b0.v1
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DOI: 10.4121/97751b97-e421-426b-b09a-d7b975e0f2b0
DOI: 10.4121/97751b97-e421-426b-b09a-d7b975e0f2b0
Datacite citation style
Sun, Dingshan (2023): Research data for PhD thesis "Multi-Level and Learning-Based Model Predictive Control for Traffic Management". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/97751b97-e421-426b-b09a-d7b975e0f2b0.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
Usage statistics
246
views
355
downloads
Time coverage 2019.03-2023-06
Licence CC BY 4.0
Interoperability
This is the data related to the PhD thesis "Multi-Level and Learning-Based Model Predictive Control for Traffic Management". The thesis is a collection of four papers, each of which corresponds to one chapter (i.e., chapter 2 - chapter 5). The relevant codes are packed according to different chapters. Learning-based methods are used. For simplicity, most of the data files generated by learning methods are not uploaded here to save space. The readers can use the provided source files to generate their own data.
History
- 2023-06-01 first online, published, posted
Publisher
4TU.ResearchDataFormat
matlab files and python filesFunding
- China Scholarship Council (CSC)
Organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Delft Center for Systems and ControlDATA
Files (7)
- 851 bytesMD5:
20a38b1e7e55295626b3e0512126f6eaReadMe.txt - 13,365,913 bytesMD5:
bd71dce591f4386e61cce5fda0e4c924Chapter2.zip - 104,484,618 bytesMD5:
ea7e436c753f08db3d72c3b472febf8cChapter3_implementation.zip - 34,057,074 bytesMD5:
d51b98aafe112637c74a4421795fc73bChapter3_learning.zip - 92,219,055 bytesMD5:
327c996c60b22523cb9d4abc1f83d4d4Chapter4_learning.zip - 2,022,999 bytesMD5:
493de4c499e0e9800ca5b2fc4b16913cChapter4_plot.zip - 997,522,680 bytesMD5:
bce62417a73ca3bc411c7c307ab1b7dcChapter5.zip -
download all files (zip)
1,243,673,190 bytes unzipped





