The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/c4c551f2-799d-4c44-a604-febd3a4cec17

Poland, Jesse (2024): Code underlying the MSc thesis: Transitioning to autonomous driving: Mixed vehicle autonomy levels on freeways. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/c4c551f2-799d-4c44-a604-febd3a4cec17.v1

Dataset

• Civil Engineering
• Other Engineering
• Interdisciplinary Engineering
• Automotive Engineering
• Engineering

autonomous driving, data analysis, human factors, mixed traffic, simulation

CC0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Jesse Poland

GraduationOTS-main zipfile contains the source code for the Master Thesis project on vehicle automation on freeways. This includes Python and Java files to run OpenTrafficSim simulations and perform data analysis. This research compares driving styles and penetration rates of automation levels 0, 1, 2, and 3 vehicles in OpenTrafficSim. The underlying research report is presented in MasterThesis_JessePoland.pdf. Also, the generated data files that are used for the data analysis are included in the zipfile GeneratedTrafficData.

The source code for this project can be found at: https://github.com/J-Poland/GraduationOTS.

• 2024-12-12 first online, published, posted

4TU.ResearchData

pdf, zipped folder with csv, txt, java, py, and ipynb files

• https://resolver.tudelft.nl/uuid:accddd1c-df3d-403a-b582-b99b56c72dd4

https://github.com/J-Poland/GraduationOTS

TU Delft, Faculty of Technology, Policy and Management