Plenary Session (Industry)
Embodying TAO to ITS in China: New Applications of AI for Sustainable Mobility and Logistics in Smart Cities
China is expected to spearhead autonomous vehicle (AV) deployment, anticipating over 3 million Level 2+ (Urban Navigate on Autopilot) capable vehicles and >50% market penetration by 2025, alongside widespread Large Language Model (LLM) integration for human-vehicle interaction. This rapid scaling presents significant challenges for smart city traffic management and logistics, necessitating enhanced human-machine collaboration at the vehicle level and robust multi-agent coordination strategies under uncertainty at the network level.
In response, China is advancing AI-driven and Parallel ITS (Intelligent Transportation Systems) through: (1) Multimodal scenario standards enhancing data interoperability; (2) World model-based multi-agent simulations and computational experiments for optimized coordination; (3) Crowdsourced platforms refining human-machine interaction and performance evaluation based Blockchain Intelligence. These initiatives directly bolster key system attributes defining T.R.U.E. standards: Trustworthiness and Reliability enhanced by real-world data from standards and evaluations, alongside Usefulness and Efficiency driven by computational experiments.
This embodies a parallel philosophy: simulates not only reality models but also validates their deployment, including interventions implied, while potentially unlocking undiscoverable solutions. This talk examines these advancements and their pivotal role in the development of resilient, human-centric urban transport in China, and the potential evolution towards T.R.U.E. Autonomous Organizations (TAOs) designed to embody these core attributes.
Bio
Yilun Lin received his Ph.D. in Control Science and Engineering from the Chinese Academy of Sciences. He is an expert in AI and Machine Learning, Urban Computing, AI Operating Systems, and Intelligent Transportation Systems. Dr. Lin i a Co-founder & CTO of H2OS Labs Inc., and Director of the Trustworthy Parallel Intelligence R&D Center at Peking University-Lingang Innovation Center in Shanghai.
Previously, he held roles as Senior Staff Algorithm Engineer at Ant Group, Research Scientist and Principal Investigator of the Urban Computing Lab at Shanghai AI Laboratory.
Plenary Session
Driving the Future of Transport: Communication-Efficient and Cyber-Secure Coordination Control
The evolution of intelligent transportation systems hinges on the seamless integration of connected and automated technologies, yet challenges in communication efficiency and cybersecurity remain critical barriers to their widespread adoption.
This Keynote Address explores innovative solutions to drive the future of transport, focusing on two pivotal research domains: communication-efficient coordination control and cyber-secure coordination control for connected automated vehicle (CAV) platoons and connected railway systems. The Keynote Address begins with a concise overview of connected automated transport, followed by an in-depth exploration of key design and implementation challenges in such systems. Novel event-triggered coordination control strategies that dynamically schedule vehicle-to-vehicle and train-to-train communication are then presented, enhancing communication resource efficiency by reducing unnecessary data exchanges while preserving precious bandwidth resources. These mechanisms adapt to real-time network conditions, ensuring efficient platooning for CAVs and virtual coupling for railways. Additionally, resilient and secure control techniques designed to withstand, detect, and mitigate cyber threats are discussed, safeguarding the integrity of networked transportation systems against various cyber-attacks such as denial-of-service and data falsification and replaying. Drawing on theoretical advancements, simulation results, and practical implications, this speech highlights how these advancements pave the way for a safer, more efficient, and resilient transportation ecosystem, addressing the pressing demands of future mobility. Finally, concluding remarks are drawn and some emerging challenges in the field are envisioned.
Bio
Professor Han is Pro Vice-Chancellor (Research Quality) and a Distinguished Professor at Swinburne University of Technology, Melbourne, Australia. He held various academic and management positions at Griffith University and Central Queensland University, Australia.
Professor Han was awarded the 2024 IEEE Dr.-Ing. Eugene Mittelmann Achievement Award (the Highest Achievement Award in Industrial Electronics), the 2021 Norbert Wiener Award (the Highest Achievement Award in Systems Science and Engineering, and Cybernetics), the 2021 M. A. Sargent Medal (the Highest Achievement Award of the Electrical College Board of Engineers Australia), the IEEE Systems, Man, and Cybernetics Society Andrew P. Sage Best Transactions Paper Award in 2019, 2020, and 2022, respectively, the IEEE/CAA Journal of Automatica Sinica Norbert Wiener Review Award in 2021, and the IEEE Transactions on Industrial Informatics Outstanding Paper Award in 2020.
Professor Han is a Foreign Member of the Academia Europaea (The Academy of Europe) (MAE). He is a Fellow of the Institute of Electrical and Electronics Engineers (FIEEE), a Fellow of the International Federation of Automatic Control (FIFAC), an Honorary Fellow of the Institution of Engineers Australia (HonFIEAust), and a Fellow of the Chinese Association of Automation (FCAA). He is a Highly Cited Researcher in both Engineering and Computer Science (Clarivate). He was one of Australia’s Top 5 Lifetime Achievers (Research Superstars) in the discipline area of Engineering and Computer Science Engineering and Computer Science (The Australian’s Research Magazine, 2019-2020). He has served as an AdCom Member of IEEE Industrial Electronics Society (IES), a Member of IEEE IES Fellows Committee, a Member of IEEE IES Publications Committee, Chair of IEEE IES Technical Committee on Networked Control Systems, and the Co-Editor-in-Chief of IEEE Transactions on Industrial Informatics. He is currently the President-Elect, an Executive Board Member, and a Steering Committee Member of Asian Control Association (ACA). He is currently the Editor-in-Chief of IEEE/CAA Journal of Automatica Sinica and the Co-Editor of Australian Journal of Electrical and Electronic Engineering.
Plenary Session (Industry)
Co-operation in Automation: How would Communication Improve Autonomy?
Vehicle-to-Everything (V2X) communication has been a collaborative effort involving automotive, telecommunications, standards organizations, and academia since the early 2000s. This talk explores V2X’s evolution, from initial design concepts to current real-world deployments. Next, we will focus on potential benefits of V2X for next-generation automated vehicles, particularly its role as a non-line-of-sight sensor, enhancing awareness and safety. The talk will encompass relevant industry initiatives and standardization efforts within the V2X domain, highlighting collaborative work to establish communication protocols between vehicles, infrastructure, and road users. Finally, we will address the challenges ahead in this field and highlight potential directions for future research, offering a glimpse into ongoing evolution and innovation.
Bio
Onur Altintas is the Head of InfoTech Labs at Toyota North America R&D in Mountain View, California, U.S.A. He has been with the R&D organizations in the Toyota Group since 1999 in various roles in New Jersey, Tokyo, and California. He is the co-founder and was the general co-chair of the IEEE Vehicular Networking Conference (IEEE VNC) between 2009-2024. He serves on the editorial boards of IEEE Intelligent Transportation System Magazine, IEEE Transactions on Intelligent Vehicles, and IEEE Vehicular Technology Magazine. He was an elected Board Member of the IEEE Vehicular Technology Society between 2016 and 2018. He was an IEEE Distinguished Lecturer between 2011-2015 and an IEEE Distinguished Speaker between 2015-2018. He holds a Ph.D. degree from The University of Tokyo, M.Sc. and B.Sc. degrees from Orta Dogu Teknik Universitesi in Türkiye, all in Electrical and Electronics Engineering.
