# Dr. Yu Jiang — OptimalTransit Research

> Associate Professor at Lancaster University. Stanford/Elsevier World's Top 2% Scientist. Specialising in public transport optimisation, transit assignment, AI for sustainable mobility, and operations research.

## About

Dr. Yu Jiang (姜宇博士) is an Associate Professor at Lancaster University, UK. Previously at the Technical University of Denmark, University of Oxford, and University of Hong Kong. He has published 80+ peer-reviewed articles and is the world's top author in "transit assignment" — the mathematical modelling of public transport passenger route choices. His work has been funded by the European Union (Horizon Europe), the Royal Society, Independent Research Fund Denmark, and the Otto Mønsted Foundation.

## Research Areas

- Transit Assignment (frequency-based and schedule-based)
- Public Transport Optimisation (timetabling, network design, schedule synchronisation)
- AI for Transit and Sustainable Mobility
- Bi-level Optimisation for Transport Systems
- Crowdsourced Last-mile Delivery
- Ridesourcing and Taxi Market Regulation
- Home Healthcare Routing and Scheduling
- Electric Vehicle Systems and Bus Electrification
- Autonomous Shuttle Planning and Connected Automated Mobility (CCAM)

## Books

- [Patience and Iteration: Craft Your AI into a Second Mind for Science](https://www.dryujiang.uk/news/book-patience-iteration): A guide for researchers on building AI-powered research workflows.
- [Harnessing Multi-Source Heterogeneous Data for Public Transit](https://www.dryujiang.uk/news/book-harnessing-multi-source-data-public-transit): Springer monograph on problem diagnosis and stochastic optimisation for transit systems.

## Key Pages

- [About](https://www.dryujiang.uk/about)
- [News & Updates](https://www.dryujiang.uk/news)
- [Blog — Expert Commentary on Transport](https://www.dryujiang.uk/blog)
- [Research Projects](https://www.dryujiang.uk/projects)
- [Presentations](https://www.dryujiang.uk/presentations)
- [Team Members](https://www.dryujiang.uk/members)
- [Prospective Students](https://www.dryujiang.uk/prospective-students)
- [Contact](https://www.dryujiang.uk/contact)

## Optional

- [Full details for LLMs](https://www.dryujiang.uk/llms-full.txt)