I'm a passionate researcher working on autonomous road safety, methodologically in a geospatial time series data-driven way. My research aims at safer traffic for all modes of road users utilising automated technologies, including but not limited to automated vehicles, data-empowered traffic monitoring, and data-driven improvement of infrastructure&policy.

I have a mixed education background in Operations Research and Management Information Systems. My scientific interests are thus generally in collective patterns emerged in individual interactions, of which the curiousity also motivated me to pursue a PhD degree. I'm currently in the last year and approaching the end of my PhD journey at TU Delft. My doctoral research is focused on safety quantification of road user interactions. Most of my papers published during PhD are openly accessible thanks to the TU Delft Library. For every paper, experiment code and instructions are open-sourced here on GitHub. Below is a more detailed list, where we

• measured two-dimensional spacing between road users [code] [pdf],
• assessed bias-induced explanations for shorter time gaps when human drivers follow automated vehicles [code] [pdf],
• proposed the first consistent and generalisable approach to traffic conflict detection [code] [pdf],
• are proposing (under single-blind review) structure-preserving contrastive learning for geospatial time series to learn representations that facilitate downstream tasks [code][pdf],
• are developing an adaptive and scalable framework to quantify the safety of traffic interactions without pre-assumptions of accidents.

I enjoy thinking, reading, and writing (in both machine and human language), although unfavourably my mind gets overloaded sometimes. I actively post work-relevant updates on LinkedIn and other thoughts on Mastodon.

My digital CV is avaiable at https://yiru-jiao.github.io/cv -- which is very bibliometrically formed for HR's or quantitative eyes. But please, if in any way possible, use a qualitative view to look at me and my research. I believe all researchers in academia would ask the same. We work for a better world, not for producing publications.

Other interesting repositories I have made public include:

• Documented Knowledge Sharing makes open access to the documented knowledge created or summarised by me and my collaborators;
• SSMsOnPlane shares vectorised algorithms to calculate various surrogate safety measures (SSMs), or in another way called, surrogate measures of safety (SMoS) for pairs of road users on an abstracted plane of road, i.e., in a two-dimensional space;
• Two-Dimensional-Time-To-Collision allows for fast computation of two-dimensional adaption of the longitudinal SSMs including TTC, DRAC, and MTTC;
• Reconstruct100CarNDSData reconstructs bird's eye view trajectories of vehicles involved in crashes and near-crashes from 100-Car Naturalistic Driving Study (NDS) radar data;
• MakingRandomBingoCards generates randomised bingo cards (for party games) with custom cells with LaTeX and Python.