Herbert Wertheim College of Engineering
Smart, Equitable, Resilient Mobility Systems Lab (SERMOS)
Led by Xilei Zhao · Civil and Coastal Engineering
What we study
The SERMOS Lab uses AI and data science to study smart, fair, and resilient transportation systems, including ridesourcing, micromobility, and evacuation planning. They analyze travel behavior, model evacuation routes, and assess infrastructure resilience using large-scale data.
What working here is like
- Computational
- No organisms (data only)
- Coding required
- Papers
- 5
Recent papers, explained
- Wildfire evacuation analysis using facebook data: Evidence from Palisades and Eaton fires
2026 · Transportation Research Part D Transport and Environment
- Hurricane evacuation analysis with large-scale mobile device location data during hurricane Ian
2025 · Transportation Research Part D: Transport and Environment
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- Simulating human behavior under earthquake early warning
2025 · Heliyon
Simulates how people react to earthquake early warnings in a basic apartment setting.
- Gamification for Wildfire Education and Safety Training: A Systematic Literature Review and Meta‐Analysis
2025 · Journal of Computer Assisted Learning
Reviews how gamification improves wildfire education and safety training compared to traditional methods.
- Analyzing evacuation route choices during the 2021 Marshall Fire
2025 · Safety Science
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
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