Research

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…

The Luis Muñoz Marín International Airport and its coastal area in Puerto Rico, an overseas US territory that needs resources to recover from Hurricane Irma and Maria and to face future devastating coastal hazards in the economic crisis, has been facing the challenge of coastal flooding, erosion, and storm damage. Fiel…

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 …

The primary goal of this proposal is to assist NJ TRANSIT’S Bus Service Planning department to create a complete roster of the 500 bus capacity Northern bus garage determining stats such as platform hours and non-revenue mileage totals for potential auditing purposes.

The intended outcome of the project includes…

The primary goal of this proposal is to use non-contact 3D scanning technology and AI for assisting in the inspection and maintenance procedures for deck timbers and rails on open-deck bridges.

The proposed research is a pilot project targeting a virtual open-deck bridge. Upon successful implementation, NJT will b…

The primary goal of this proposal is to develop a robust charging system for battery electric buses considering economic and environmental impacts. Case studies will be conducted on the selected NJ Transit bus routes focusing on three charging system design scenarios: depot charging, on-route charging, and hybrid chargin…

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…

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…

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 …

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 …

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…

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 …

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…

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…

The primary goal of this proposal is to develop a procedure that ensures proper LiDAR data collection focused on bridge deck surface geometry capturing for inspection and monitoring.

The intended outcome of the project is to help identify areas of possible early sources of deterioration of the bridge decks, allowi…

The primary goal of this proposal is to develop and assess an innovative real-time proactive safety monitoring system based on the trajectory of road users (e.g., cars, pedestrians, and cyclists) collected by video cameras. The results of this project will provide a great opportunity for transportation agencies to rank a…

The primary goal of this proposal is to address the challenging problem of automatic identification of helipads and landing sites using the machine and deep learning algorithms. This project’s deliverable is an AI-based system for the identification of helipads, heliports, and landing site infrastructure from satel…

The primary goal of this proposal is to define and document JFK Cargo View requirements, evaluating the options and costs to acquire, develop, and manage the system, exploring potential business models to operate and monetize it, and establishing an implementation plan to develop and deploy it.

There is potential …

Transportation agencies have been rapidly deploying emerging concrete materials to improve the sustainability and durability of reinforced concrete infrastructure. This project will focus on the chloride penetration behavior of several novel concrete materials in comparison to baseline ordinary portland cement concrete m…

The COVID-19 pandemic has been a worldwide issue for over a year now, and transit agencies are still struggling to find cost efficient solutions, which will provide improved rider safety and restore rider confidence. Airborne transmission of the virus has been identified as one of the primary modes through which COVID-19…