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DOI: 10.4121/0dbf6809-9c88-4967-8556-c798621ebfa4

Yao, Xue (2025): Data pertaining to Chapter 4 "Identification of Driving Heterogeneity using Action-chains". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/0dbf6809-9c88-4967-8556-c798621ebfa4.v1

Categories

• Civil Engineering
• Environmentally Sustainable Transport
• Interdisciplinary Engineering
• Ground Transport
• Engineering
• Transport

Keywords

Action phase Driving behavior Driving behaviour Identification Traffic flow analysis

Licence

CC BY-NC 4.0

Interoperability

• RO-Crate Metadata

Collection

• PhD dissertation: Driving Heterogeneity in Traffic Flow Theory: An Action-based Framework for Identification, Modelling, and Simulation

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by Xue Yao

This dataset accompanies the paper “Identification of Driving Heterogeneity using Action-chains” (Chapter 4 of the PhD dissertation). The research introduces a comprehensive framework for identifying driving heterogeneity from an action perspective. Driving trajectories are identified into Action phases with physical meanings based on rule-based segmentation techniques. The Action chain concept is then introduced by implementing the Action phase transition probability. Evaluating using a naturalistic dataset indicates that this approach effectively identifies driving heterogeneity while providing clear interpretations. The research includes data preprocessing to clean data, rule-based segmentation to extract Action phases, driving behaviour map establishment, Action chain modelling, and heterogeneous traffic flow evaluation. The dataset is provided as a zipped folder containing four Jupyter notebooks (.ipynb) and supporting files in .xlsx, .csv, .mat, .m, .txt, and .pdf formats. A ch4_Readme.txt file is included to guide users on the structure, usage, and purpose of the data.

History

• 2025-07-07 first online, published, posted

Publisher

4TU.ResearchData

Format

*.xlsx, *.pdf, *.txt, *.csv i.e., script/.py, spreadsheet/.xlsx, image/.jpeg, image/.pdf

Associated peer-reviewed publication

Identification of Driving Heterogeneity using Action-chains

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Transport and Planning, Traffic Systems Engineering