More Works from Our Lab and Partners

A unified dataset for the city-scale traffic assignment model in 20 U.S. cities

Proposing a unified approach for producing city-scale traffic data using the classic traffic assignment model in transportation studies

Scientific Data
Data-driven solar forecasting enables near-optimal economic decisions

Presenting SunCastNet, a lightweight data-driven forecasting system.

arvix
Hurricane Ida’s blackout-heatwave compound risk in a changing climate

Employing projections of TCs, sea level rise, and heatwaves, in conjunction with power system resilience modeling, to evaluate historical and future TC-blackout-heatwave compound risk in Louisiana, US.

Nature Communications
Reinforcement learning–based adaptive strategies for climate change adaptation: An application for coastal flood risk management

The study highlights the strong potential of reinforcement learning (RL) in modeling and informing adaptive climate decision-making.

PNAS
Tropical cyclone-blackout-heatwave compound hazard resilience in a changing climate

Coupling TC and heatwave projections and power outage and recovery process analysis to investigate how TC-blackout-heatwave compound hazard risk may vary in a changing climate, with Harris County, Texas as an example.

Nature Communications

Forcasting four representative cities of their future traffic conditions

First Author1 2*, Second Author1 2*, Third Author1 2, Fourth Author1, Fivth Author1, Sixth Author2, Seventh Author1 2†
1Nvidia
2National Key Laboratory
3Shanghai Institute
Conference name and year
*Indicates Equal Contribution
Paper Supplementary Code--Coming soon Dataset arXiv

The changes of traffic assignment in different years, different situations, and different cities, for example, sf and sea.

Abstract

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BibTeX

@article{YourPaperKey2024,
  title={Your Paper Title Here},
  author={First Author and Second Author and Third Author},
  journal={Conference/Journal Name},
  year={2024},
  url={https://your-domain.com/your-project-page}
}