Herbert Wertheim College of Engineering

Just and Green Transportation Lab

Led by Xiang Yan · Civil and Coastal Engineering

Auto-generated from UF undergraduate research symposium abstractsMentored undergrads in Spring 2025

What we study

The lab uses data science and AI to improve public transit and shared mobility, focusing on making transportation more equitable and sustainable. They collaborate with public agencies and community groups to develop smart tools for better planning.

What working here is like

  • Computational
  • No organisms (data only)
  • Coding required
Projects
2
Papers
5

Current projects

Annual Research-to-Practice Transit Symposium

A yearly event where transit researchers and practitioners share insights on using research to improve transit planning.

A Machine Learning Framework for Travel Mode Classification from Sparse GPS Data

The team built a computer model that learns from a small set of labeled GPS trips and then predicts whether new, sparsely recorded trips are walking, driving, or bus rides, helping planners see travel patterns without dense data collection.

From the Spring 2025 UF Undergraduate Research Symposium · abstract book, p. 585

Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.

Recent papers, explained

Show 3 more papers

Plain-language summaries are AI-written and reviewed by us; check the paper for details.

How to reach out

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Open positions

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Just and Green Transportation Lab · Xiang Yan | JoinLattice