This repository offers code to reuse methodology and repeat experiments in the study "Learning Collision Risk Proactively from Naturalistic Driving at Scale".

GitHub stats for profile page.

GitHub profile page.

This repository hosts my GitHub Pages site.

A safe, scenario-based simulation for researchers to explore ethical dilemmas, understand complex trade-offs, and build professional confidence in a supportive environment.

This repository offers code to reuse methodology and repeat experiments in the study "Structure-preserving contrastive learning for spatial time series".

This repository shares information and guidelines to use the reconstructed trajectories of naturalistic crashes and near-crashes in the SHRP2 NDS.

This repository offers code to repeat experiments and reuse the method in the study "Inferring vehicle spacing in urban traffic from trajectory data".

This repository allows for fast computation of two-dimensional Time-To-Collision (TTC), DRAC, and MTTC.

This repository offers code to repeat the experiments and reuse the method in the paper "Minimising missed and false alarms: a vehicle spacing based approach to conflict detection".

This repository offers code to reuse methodology and repeat experiments in the study "A Unified Probabilistic Approach to Traffic Conflict Detection".

This repository offers code to repeat experiments and reuse the method in the study "Beyond behaviour change: investigating alternative explanations for shorter time headways when human drivers fol…

This repository shares vectorised python scripts to calculate various surrogate safety measures (SSMs), or in another way called, surrogate measures of safety (SMoS) for pairs of road users on an a…

Open access to the documented knowledge created or summarised by me and my collaborators.

This repository reconstructs bird's eye view trajectories of vehicles involved in crashes and near-crashes from 100-Car Naturalistic Driving Study (NDS) radar data.

This repository saves experiments of and visualises the study "An active opinion dynamics model: the gap between voting result and group opinion".

A notepad to record my (perhaps) strange coding needs and tricks that meet the needs with "ah yes, it makes sense".

A convenient toolbox to look up and utilize the machine learning algorithms provided by scikit-learn.

These files are to classify spam emails using Support Vector Mechine, SVM.

This is a small NetLogo simulation about the COVID-19 contagion concerning the question of "Is an earlier warning better?"

This repository provides code for the study "A proposal for Kansei knowledge extraction method based on natural language processing technology and online product reviews".

This repository provides matlab code for the study "A novel model and its algorithms for the shortest path problem of dynamic weight-varying networks in Intelligent Transportation Systems".