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CAIT-UTC-REG56

The primary goal of this proposal is to increase safety and minimize the risks of building major underground infrastructure systems by enhancing existing methods for stochastic subsurface characterization, hazard and risk assessment and management. The specific goals of the project are to develop a framework calibrated f…

IPProject Status: In Progress Fiscal Year: FY2021/2022
CAIT-UTC-REG63

Successful implementation and effectiveness of monitoring systems requires good understanding of (1) structure being monitored, (2) existence of various monitoring technologies and their advantages and limitations, (3) monitoring process and (4) roles of involved parties. In the case of tunnels, lack of understanding of …

IPProject Status: In Progress Fiscal Year: FY2021/2022
CAIT-UTC-REG43

The primary goal of this proposal is to develop a pilot, proof-of-concept study in collaboration with the MTA to explore the use of Artificial Intelligence (AI) for analyzing infrastructure big data to predict track degradation and future condition.

The intended outcome of the project is a novel AI model for track…

IPProject Status: In Progress Fiscal Year: FY2020/2021
CAIT-UTC-REG45

The primary goal of this proposal is the development of a digital twin for urban mobility, the Mobi-Twin platform, focusing on enabling the microscopic accurate modeling and simulation of Urban Mobility System of Systems with the emerging self-driving grade high-resolution 3D data. The proposed platform will use data col…

IPProject Status: In Progress Fiscal Year: FY2020/2021
CAIT-UTC-REG46

The primary goal of this proposal is to develop machine-learning algorithms for driving behavior mining, using real-time vehicle, pedestrian, and infrastructure data. The proposed algorithms will improve our understanding of how people drive on both highways and urban roads, which will help monitor and maintain roadside …

IPProject Status: In Progress Fiscal Year: FY2020/2021
CAIT-UTC-REG47

The concept of digital twins is an enabler to address today’s infrastructure lifecycle management challenges, especially in this challenging era with the growing threats of pandemics, natural disasters, funding shortfalls, and social unrests. Digital twins support cost-effective ways of exploring what-if scenarios …

IPProject Status: In Progress Fiscal Year: FY2020/2021
CAIT-UTC-REG48

The main focus of the project is to establish a link between a physics-based corrosion model and condition rating assessments. This will empower the DOTs to rationally explore the long-term benefits of investments in innovative technologies, such as advanced materials and innovative construction methods. If the framework…

IPProject Status: In Progress Fiscal Year: FY2020/2021
CAIT-UTC-REG49

The primary goal of this project is to research post-fire damage assessment of reinforced concrete tunnel liners and provide recommendations on damage assessment procedures for application in practice. The recommendations will cover the type of data to be collected after a fire event and how the data should be processed …

IPProject Status: In Progress Fiscal Year: FY2020/2021
CAIT-UTC-REG50

Leveraging recent advances in artificial intelligence, a novel signal processing technique will be developed to build a surrogate model for an accurate prediction of engineering demand parameters of interest (e.g., peak column drift ratio). The epistemic uncertainty of the surrogate model will be quantified and integrate…

IPProject Status: In Progress Fiscal Year: FY2020/2021
CAIT-UTC-REG51

This project will lay the groundwork for the development of a real-time decision support system for transportation infrastructure management under a hurricane event. Beginning with a systematic review of current decision-making practices, this project will investigate hurricane impacts on the critical infrastructures and…

IPProject Status: In Progress Fiscal Year: FY2020/2021