
Research theme · 01
Infrastructure Systems Interdependency
Using data to understand the interdependency among transportation, energy, and water/sewer systems — a new paradigm for predicting and decision-making across urban systems.
Overview
Our research utilizes data to understand the interdependency among three infrastructure systems: transportation, energy, and water/sewer. This work creates a new paradigm for leveraging the complex relationships among urban systems to assist prediction and decision-making, examining interdependencies across roadway, transit, parking, and building systems through data analysis.

Featured Projects
- EAGER: User-Centric Interdependent Urban Systems: Using Multi-Modal Transportation Data for Demand Prediction and Management in Buildings — Co-PIs: Xuesong Liu, Mario Berges (CMU).
- From Twitter to traffic predictor: Next-day morning traffic prediction using social media data — Team: Weiran Yao.
Projects
EAGER: User-Centric Interdependent Urban SystemsUsing multi-modal transportation data — particularly Wi-Fi probe-request logs — for occupancy estimation and predictive HVAC control in buildings.
Sean Qian · National Science Foundation
- From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data
Mining Twitter data to capture how evening and overnight behavioral patterns influence next-morning traffic congestion.
Sean Qian · National Science Foundation, U.S. Department of Transportation