Location: HAMP 1252 (in-person) and Zoom (online) https://purdue-edu.zoom.us/j/99326083199?pwd=TjhqaE1TYkZ2RG1RMkt6S1JZbGk1UT09

Agenda: 2:00pm-3:15pm (Seminar + Q&A); 3:15pm-4:00pm (Networking). Snacks and coffee will be provided.

Mobility Digital Twin for Connected and Automated Vehicles

Abstract

A Digital Twin is a digital replica of a living or nonliving physical entity, and this emerging technology attracted extensive attention from different industries during the past decade. In this talk, a Mobility Digital Twin (MDT) framework is introduced, which is defined as an Artificial Intelligence (AI)-based data-driven cloud-edge-device framework for mobility services. This MDT consists of three building blocks in the physical space (namely Human, Vehicle, and Traffic), and their associated Digital Twins in the digital space. An example cloudedge architecture is built with Amazon Web Services (AWS) to accommodate the proposed MDT framework and to fulfill its digital functionalities of storage, modeling, learning, simulation, and prediction. The effectiveness of the MDT framework is presented by the case studies of multiple connected and automated vehicle (CAV) applications, benefiting our transportation systems regarding safety, efficiency, and environmental sustainability.

Bio

Dr. ZiranWang is currently an Assistant Professor in the Lyles School of Civil Engineering at Purdue University, where he directs the Purdue Digital Twin Lab. Previously, he worked as a Principal Researcher at Toyota Motor North America R&D in Silicon Valley, leading the Digital Twin roadmap at Toyota. Dr. Wang is serving as associate editor of 1) IEEE Transactions on Intelligent Vehicles, 2)SAE Journal of Connected and Automated Vehicles, and 3)Frontiers in Sustainable Cities-Urban Transportation Systems and Mobility, and founding chair of IEEE Technical Committee on "Internet of Things in Intelligent Transportation Systems". He is an author of 40+ peer-review publications and 50+ patent applications.