Data underlaying the PhD Dissertation of Yiru Jiao (collection)

Data underlaying the PhD Dissertation of Yiru Jiao

DOI:10.4121/8636d409-2f19-4ba3-8093-dff79843537f.v1

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DOI: 10.4121/8636d409-2f19-4ba3-8093-dff79843537f

Datacite citation style

Jiao, Yiru (2025): Data underlaying the PhD Dissertation of Yiru Jiao. Version 1. 4TU.ResearchData. collection. https://doi.org/10.4121/8636d409-2f19-4ba3-8093-dff79843537f.v1

Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Collection

Keywords

Autonomous driving Collision risk Proactive traffic safety Self-supervised learning Traffic interaction

by Yiru Jiao

This is a collection of datasets, each of which is for a chapter in the PhD dissertation of Yiru Jiao. The datasets contain processed data and generated results from the underlying research experiments. These include:

Chapter 2: Measurement of multi-directional traffic interactions (published as Inferring vehicle spacing in urban traffic from trajectory data);
Chapter 3: Adaptive boundary between safe and unsafe traffic interactions (published as Minimising missed and false alarms: a vehicle spacing based approach to conflict detection);
Chapter 4: Unified detection of potential collisions across interaction contexts (published as A unified probabilistic approach to traffic conflict detection);
Chapter 5: Self-supervised collision risk quantification of traffic interactions (published as Learning collision risk proactively from naturalistic driving data at scale);
Chapter 6: Spatial-temporal information preservation of traffic interactions (published as Structure-preserving contrastive learning for spatial time series).