UTC 2022 Funding - Cycle 2 Research Projects

Project No.: CY3-TAMU-04
Title: Data-Driven Resilience Planning for Transportation Infrastructure: Pilot Study in Texas
Performing Institution: Texas A&M Transportation Institute and Texas A&M University
Principal Investigator: Jason Wu and Minh Le, Texas A&M Transportation Institute; Zhe Zhang, Texas A&M University
Start and Anticipated Completion Dates: 09/01/2025 to 08/30/2026
Abstract: This one-year pilot proposes marrying three rich but rarely combined data streams—high-resolution weather data (freeze/thaw, temperature, rainfall, snow/ice, etc.) supplied by the Southern Regional Climate Center (SRCC), Connected-Vehicle Data (movements, windshield wiper events, delay, etc.) that capture real-time operating conditions, and TxDOT’s own asset and condition inventories (e.g., pavement condition data,) - into a cohesive, decision-ready framework. The research team will begin by geolinking these datasets and mining them for hazard frequency, traffic exposure, and structural vulnerability signals. Machine-learning and stochastic life-cycle cost models will then translate those signals into corridor-level risk profiles and economic damage curves under three strategies: do-nothing, reactive repair, and proactive hardening.  
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