With the growing attention to the maintenance and operation of transportation infrastructure and roadways, an informed decision-making process is crucial for ensuring asset reliability and performance. A digital representation of the physical asset, also known as the Digital Twin (DT), can visualize the performance of the infrastructure asset over its lifecycle using a combination of smart sensors, Internet of Things (IoT), Artificial Intelligence (AI), Unmanned Aerial Vehicles (UAVs), Augmented Reality/Virtual Reality (AR/VR) and in most cases Building Information Modelling (BIM).
The main goal of this online training is to introduce the fundamentals of Digital Twins for road infrastructure. Different aspect of transportation infrastructure digital twins in terms of performance data sources, performance monitoring and decision making will be discussed. Moreover, the main tools to build a digital twin for roadways will be introduced to showcase their capabilities in digitizing and visualizing the asset performance.
Participants will be guided through various interactive course modules and tutorials to gain the skills and knowledge for successful development and implementation of digital twins for roadway infrastructure. Roadway professionals, highway practitioners and local highway agency engineers will learn and benefit from the various aspects of digital twins that can be employed and implemented in their daily operations.
- Understand the fundamental concepts related to digital twins
- Learn about the practical applications of digital twins for roadway and highway agencies
- Become familiar with various sources of data used for building a digital twin model
- Learn about the emerging topics in digital twins for roadway infrastructure applications
- Become familiar with the tools to implement and execute digital twin models
- Earn 16 Professional Development Hours
- Expert training by professionals for Professionals: access IRF’s unique curriculum and lectures developed by world-class specialists
- Accelerated learning processes: get up to speed and gain new insights in less time and with no travel constraints
- Full access to learning materials and session recordings
- Small classrooms & scheduled One-on-One sessions with instructors
- Self-paced options available
- Interactive group projects and case studies
- Receive IRF Certification
- Local and Rural Road Authorities
- Executive Highway and Transportation Engineers
- Road/Highway Design Engineers and Consultants
- Transportation Infrastructure Contractors
- Road/Highway Authorities & Operators
- Materials and QC/QA Engineers
- Transportation Infrastructure Practitioners
Lectures will be taught over a three-week period with live 2-hour online sessions held on Tuesdays and Thursdays of each week.
Tuesdays & Thursdays (12:00 PM– 2:00 PM US EST / 4:00 – 6:00 PM GMT)
Mehran Mazari, Ph.D.
Assistant Professor, California State University Los Angeles
Dr. Mehran Mazari is an Assistant Professor in the Department of Civil Engineering at Cal State LA, specializing in Transportation Infrastructure, Materials and Applied Data Science, Artificial Intelligence (AI) and Machine Learning (ML). He is the faculty director of Sikand Center for Sustainable and Intelligent Infrastructures (SITI-Center) and founder of Sustainable Infrastructure Materials Research Lab (SIM-Lab) at Cal State LA. His research interests include sustainable and resilient transportation infrastructure, transportation infrastructure materials, and non-destructive evaluation of transportation infrastructure. He is member of technical committees at the Transportation Research Board of National Academies of Science and Engineering and co-chair of the LTPP subcommittee of the Highway Pavement Committee of the American Society of Civil Engineers (ASCE). Dr. Mazari has published more than 60 peer-reviewed journal and conference papers. He has been actively involved in several national and state research projects, including the National Highway Cooperative Research Program (NCHRP) and Federal Highway Administration (FHWA), among others.
Windows 7 - Windows 10, Mac OS X 10.9 (Mavericks), macOS Catalina (10.15), Linux, Google Chrome OS, Android OS 5 (Lollipop) - Android 9 (Pie), iOS 10 - iOS 12, Windows Phone 8+, Windows 8RT+
Google Chrome (most recent 2 versions)
Mozilla Firefox (most recent 2 versions)
Internet Explorer v11 (with Adobe Flash if running Windows 7)
Apple Safari (most recent 2 versions)
Microsoft Edge (most recent 2 versions)
1 Mbps or better (broadband recommended)
2GB of RAM (minimum), 4GB or more of RAM (recommended)
Microphone and speakers (USB headset recommended)