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DOI: 10.4121/7c2ff599-9474-40fc-b251-49da9085cf46

Yao, Xue (2025): Data pertaining to Chapter 3 "Investigation on Car-Following Heterogeneity and Its Impacts on Traffic Flow Performance". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/7c2ff599-9474-40fc-b251-49da9085cf46.v1

Categories

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

Keywords

Car-followingdriving heterogeneity Identification Micro-simulation Sustainability Traffic safety

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 supports the paper “Investigation on Car-Following Heterogeneity and Its Impacts on Traffic Flow Performance” (Chapter 3 of the PhD dissertation). The study focuses on behavioural modelling and simulation, aiming to investigate car-following heterogeneity and assess its effects on traffic safety and sustainability. The framework incorporates rigorous driving style classification using a semi-supervised learning technique and a micro-simulation process that includes 66 fine-grained traffic scenarios exhibiting varying degrees of heterogeneity. Based on two distinct real-world datasets, the impacts of driving heterogeneity are effectively elucidated from the mechanism of underlying characteristics of driving behaviour and traffic flow dynamics. The data is organised into three folders, corresponding to model parameter calibration, behavioural classification, and traffic flow simulation components of the research. The data was generated and processed using MATLAB and includes files in .xlsx, .csv, .mat, .m, .txt, and .pdf formats. A ch3_Readme.txt file is provided to guide users through the dataset structure and usage.

History

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

Publisher

4TU.ResearchData

Format

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

Associated peer-reviewed publication

Investigation on car-following heterogeneity and its impacts on traffic safety and sustainability

Organizations

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