Cloud Computing and Edge computing for Connected and Automated Vehicles
TimeMonday, July 11th10:30am - 12:00pm PDT
Location3001, Level 3
DescriptionThe recent development of cloud computing and edge computing bring forward numerous novel technologies whose application scenarios are not only applied to the user level (e.g., individual consumer or private company), but also the system level (e.g., commercial or industrial sector). For example, cloud computing and edge computing play a significant role in the current Connected and Automated Vehicle (CAV) technology, which enable CAVs to offload their massive on-board data and heavy computing tasks. By leveraging the Internet of Things (IoT) technology, different entities in the intelligent transportation system (e.g., vehicles, infrastructure, traffic management centers, etc.) get connected with each other, thus making the entire system smarter, safer, and more efficient.
However, these advances also bring significant challenges to public authorities, industry, as well as scientific communities. In terms of system design and control, current cloud and edge architecture of CAVs need to be refined or even redesigned to better function under uncertainties in demand, and to better cooperate with existing conventional vehicles and infrastructure. From the performance assessment perspective, models and simulation tools based on artificial intelligence and big data have been widely developed for validation and evaluation of cloud computing and edge computing, in particular taking into account the increasing trends in vehicle connectivity and automation. However, the validity of these models needs to be re-examined with field implementations.
This tutorial is composed of three talks. The first talk will be given by Dr. Wang, regarding the utilization of cloud computing in a digital twin framework designed for CAVs. The second talk will be given by Prof. Shi regarding edge computing and its applications in CAVs. The third talk will be given by Prof. Zhu regarding the assured design of CAVs to build a trust framework with edge servers.