Tag: Kelvin Cheu

Digital Twin Technologies Towards Understanding the Interactions between Transportation and other Civil Infrastructure Systems: Phase 2

Molly

This project is a continuation of a C2SMART funded project from 2021 titled “Digital Twin Technologies Towards Understanding the Interactions between Transportation and other Civil Infrastructure Systems.” In the phase 1 project, the team built a digital shadow of campus civil infrastructure and visualized impacts of construction project schedule on the surrounding transportation infrastructure. Phase 2 is focused on expanding the work accomplished in phase 1, to extend the digital twin and enable live data feeds.

Urban Connector Year 3: Field Tests

Nick HudanichLeave a Comment on Urban Connector Year 3: Field Tests

Over the past three years, researchers at UTEP and NYU have collaborated on the development of a smartphone application, Urban Connector, which is designed to cater to the urban mobility needs and preferences of seniors in El Paso. A prototype of the application was developed and a follow-up survey was conducted to gather feedback. The app was improved to its beta version, and was tested by seniors in El Paso in their day-to-day travels.

Digital Twin Technologies Towards Understanding the Interactions between Transportation and other Civil Infrastructure Systems

Nick Hudanich

Digital Twin (DT) technology represents the next evolution in a gradual shift from physical to digital models in civil engineering. Computer-Aided Drafting (CAD) revolutionized the industry by reducing the time and costs associated with documenting the design. Building Information Modeling (BIM) has since all but eliminated the need for physical design descriptors (i.e., drawings or physical models). A digital twin is a relevant abstraction of the physical asset. Itis most frequently used to model/improve/control manufacturing systems. Civil engineering applications of DT have been starting to emerge, but transportation infrastructure represents a challenging extension of DT technology because of its spatial scale and voluminous and time-varying data. However, DT is a powerful decision support tool for the design, maintenance, and management of transportation infrastructure, particularly for studying the interdependency with other infrastructure systems.

Development of Level of Service Analysis Procedures and Performance Measurement Systems for Parking

Elena Chung

This project aims to develop LOS analysis procedures that estimate or measure the average search time for selected types of parking facilities. Additionally, alternative evaluation methodologies for parking operations based on the IOT will be explored. The new smart cities approach to measure customer service is dubbed PMS to distinguish it from the LOS analysis procedure. Cities are interested in making better use of smart meter usage data.

Automated Truck Lanes in Urban Area for Through and Cross Border Traffic

Nick Hudanich

This research project will investigate the design and operations of dedicated lanes for fully automated trucks, the suitability of existing infrastructure to accommodate these novel technologies, and the potential economic ramifications on the surrounding region. The project will use the I-10 Freeway in El Paso, Texas, from the New Mexico border in the west to milepost 55 in the east, as the testbed.