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
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.ResearchData
format
matlab files and python files
funding
- China Scholarship Council (CSC)
organizations
TU Delft, Faculty of Mechanical, Maritime and Materials Engineering (3mE), Delft Center for Systems and Control
DATA
files (7)
- 851 bytesMD5:
20a38b1e7e55295626b3e0512126f6ea
ReadMe.txt - 13,365,913 bytesMD5:
bd71dce591f4386e61cce5fda0e4c924
Chapter2.zip - 104,484,618 bytesMD5:
ea7e436c753f08db3d72c3b472febf8c
Chapter3_implementation.zip - 34,057,074 bytesMD5:
d51b98aafe112637c74a4421795fc73b
Chapter3_learning.zip - 92,219,055 bytesMD5:
327c996c60b22523cb9d4abc1f83d4d4
Chapter4_learning.zip - 2,022,999 bytesMD5:
493de4c499e0e9800ca5b2fc4b16913c
Chapter4_plot.zip - 997,522,680 bytesMD5:
bce62417a73ca3bc411c7c307ab1b7dc
Chapter5.zip -
download all files (zip)
1,243,673,190 bytes unzipped