Workshop Topics

The recent development of the Internet of Things (IoT) brings 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, the IoT plays a significant role in the current Intelligent Transportation System (ITS) which consists of advanced sensing, wireless communications, cloud computing, intelligent control, massive data management, and many other elements. By leveraging the IoT, different entities (e.g., vehicles, drivers, riders, infrastructure, traffic management centers, etc.) in the existing transportation system 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 IoT applications in ITS 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 IoT applications, 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 workshop will be the second of its series (the first one was held in IEEE IV 2020), focusing on sharing the state-of-the-art design, models, algorithms, simulation, and field implementation of a wide range of IoT applications in ITS, identifing challenges as well as research needs, and aiming to encourage cross-disciplinary cooperation. The specific topics of interests are listed below:

• Digital twin of intelligent vehicles and intelligent transportation systems
• Vehicular cyber-physical systems (VCPS)
• IoT applications in smart cities
• Cyber security of connected and automated vehicles
• Vehicle-to-cloud (V2C) communications
• Artificial intelligence and big data application in urban mobility
• Edge computing and cloud computing of connected vehicles
• Modelling and simulation tools for network computing and communication
• Field implementations of Internet of Vehicles (IoV)
• Applications of emerging communication technologies (e.g., 5G, Wi-Fi 6) to ITS
• Message or standard definitions to support V2X communicaitons

Speaker: Qi Alfred Chen

Assistant Professor, University of California, Irvine, USA

Qi Alfred Chen is an Assistant Professor in the Department of Computer Science at the University of California, Irvine. His research interest is network and systems security, and the major research theme is addressing security challenges through systematic problem analysis and mitigation. His research has discovered and mitigated security problems in systems such as next-generation transportation systems, smartphone OSes, network protocols, DNS, GUI systems and access control systems. Currently, his focus has been in smart systems and IoT, including transportation and autonomous vehicle systems. His work has high impact in both academic and industry with over 10 top-tier conference papers, a DHS US-CERT alert, multiple CVEs, and over 50 news articles by major news media such as Fortune and BBC News. Alfred received his Ph.D. from the University of Michigan in 2018.

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Speaker: Xuan Sharon Di

Associate Professor, Columbia University, USA

Dr. Di is an Associate Professor in the Department of Civil Engineering and Engineering Mechanics at Columbia University in the City of New York. She also serves on the committee of Columbia's Center for Smart Cities in the Data Science Institute. Di received a BS in traffic engineering, summa cum laude, in 2005 and an MA in transportation information and control engineering in 2008 from Tongji University, China. She received a PhD in civil, environmental, and geo-engineering from the University of Minnesota, Twin Cities, in 2014. Di received a Chan Wui & Yunyin Rising Star Workshop Fellowship for Early Career Professionals from the Transportation Research Board in 2016. Her specialty is travel behavior analysis and transportation network modeling. Her research applies optimization, game theory, and data analytics to study transportation problems.

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Speaker: Chang-Yi Luo

Project Manager and Principal Researcher, Toyota Motor Corporation, Japan

Dr. Chang-Yi Luo is Project Manager and Principal Researcher in TOYOTA MOTOR CORPORATION, Japan. He is currently responsible for V2X product planning, deployment, and promotion in TOYOTA. In the past, he was experienced in research, development, planning and evaluation for V2X, ITS and other new technologies based on crash analysis.

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Speaker: Chen Lv

Nanyang Assistant Professor, Nanyang Technological University, Singapore

Dr. Chen Lv (also spelled as Lyu, Chen) is a Nanyang Assistant Professor of School of Mechanical and Aerospace Engineering, with a joint appointment in School of Electrical and Electronic Engineering, and the Cluster Director in Future Mobility Solutions at ERI@N, Nanyang Technological University. He received his Bachelor degree in Automotive Engineering, Wuhan University of Technology, China in 2010, and the PhD degree at Department of Automotive Engineering, Tsinghua University, China in Jan 2016. He was a joint PhD researcher at EECS Dept., University of California, Berkeley, USA during 2014-2015, and worked as a Research Fellow at Advanced Vehicle Engineering Center, Cranfield University, UK during 2016-2018. He joined NTU and founded the Automated Driving and Human-Machine System (AutoMan) Research Lab since June 2018. His research focuses on advanced vehicle control and intelligence, where he has contributed 2 books, 2 book chapters, over 100 papers and obtained 12 granted patents and 1 technology disclosure.

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Speaker: Andreas A. Malikopoulos

Terri Connor Kelly and John Kelly Career Development Associate Professor, University of Delaware, USA

Dr. Andreas Malikopoulos is the Terri Connor Kelly and John Kelly Career Development Associate Professor in the Department of Mechanical Engineering and the Director of the Sociotechnical Systems Center at the University of Delaware (UD). Prior to these appointments, he was the Deputy Director and the Lead of the Sustainable Mobility Theme of the Urban Dynamics Institute at Oak Ridge National Laboratory, and a Senior Researcher with General Motors Global Research & Development. He received a Diploma from the National Technical University of Athens, Greece, and his M.S. and Ph.D. degrees from the University of Michigan, Ann Arbor, in 2004 and 2008, respectively, all in Mechanical Engineering. His research interests span several fields, including analysis, optimization, and control of cyber-physical systems; decentralized stochastic systems; stochastic scheduling and resource allocation; and learning in complex systems.

Dr. Malikopoulos is the recipient of several prizes and awards, including the 2007 Dare to Dream Opportunity Grant from the University of Michigan Ross School of Business, the 2007 University of Michigan Teaching Fellow, the 2010 Alvin M. Weinberg Fellowship, the 2019 IEEE Intelligent Transportation Systems Young Researcher Award, and the 2020 UD’s College of Engineering Outstanding Junior Faculty Award. He has been selected by the National Academy of Engineering to participate at the 2010 German-American Frontiers of Engineering (FOE) Symposium and organize a session in transportation at the 2016 European-American FOE Symposium. He has also been selected as a 2012 Kavli Frontiers of Science Scholar by the National Academy of Sciences. Dr. Malikopoulos has been an Associate Editor of the IEEE Transactions on Intelligent Vehicles and IEEE Transactions on Intelligent Transportation Systems from 2017 through 2020. He is currently an Associate Editor of Automatica and IEEE Transactions on Automatic Control. He is a Senior Member of the IEEE and a Fellow of the ASME.

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Speaker: Weisong Shi

Charles H. Gershenson Distinguished Faculty Fellow and Professor, Wayne State University, USA

Weisong Shi is a Charles H. Gershenson Distinguished Faculty Fellow and a Professor of Computer Science with Wayne State University, USA, where he directs the Mobile and Internet SysTems Laboratory (MIST) and Connected and Autonomous dRiving Laboratory (CAR), investigating performance, reliability, power- and energy-efficiency, trust and privacy issues of networked computer systems, and applications. He is one of the world leaders in the edge computing research community and published the first book on edge computing. His paper entitled “Edge Computing: Vision and Challenges” has been cited more than 2900 times. In 2018, Dr. Shi led the development of IEEE Course on Edge Computing. In 2019, Dr. Shi served as the lead guest editor for the edge computing special issue on the prestigious Proceedings of the IEEE journal. He is the Founding Steering Committee Chair of the ACM/IEEE Symposium on Edge Computing (SEC) and the IEEE/ACM Connected Health: Applications, Systems and Engineering (CHASE). He is an IEEE Fellow and an ACM Distinguished Scientist. He is a recepient of IEEE Computer Society TCI's Distinguished Service Award (2020).

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Speaker: Xuesong Zhou

Associate Professor, Arizona State University, USA

Xuesong Zhou joined the School of Sustainable Engineering and the Built Environment at Arizona State University in 2013. Previously, he was an associate professor at University of Utah. Zhou’s research work focuses on dynamic traffic assignment, traffic estimation and prediction, large-scale routing and rail scheduling. He has been assisting the Federal Highway Administration (FHWA) to develop and provide technical support for large-scale simulation-based dynamic traffic assignment systems, for the past 10 years. He serves as an Associate Editor for Transportation Research Part C: Emerging Technologies. He has published more than 30 papers related to dynamic traffic assignment and rail operations research in Transportation Research Part B, Transportation Research Part C, EJOR and IEEE Transactions on ITS. His paper on single-track train timetabling is one of top 10 mostly cited papers in Transportation Research Part B during the period of 2007-2013. He is the principle developer of open-source package DTALite, light-weight open-source traffic assignment/simulation engine and NEXTA, a traffic data visualization platform, which have been used by a number of transportation planning agencies, with more than 3000 downloads from the Google Code website.

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Workshop Agenda

The following presentation schedule is based on Eastern Daylight Time (EDT) on 9/19 (Sunday), which will be late Sunday night in Europe and early Monday morning in Asia.

6:00-6:30 pm, Chen Lv
Human-Like Autonomous Driving and Human-Machine Systems

6:30-7:00 pm, Weisong Shi
The Emergence of Vehicular Computing

7:00-7:30 pm, Andreas A. Malikopoulos
Optimal Time Trajectory with Provable Safety for Connected and Automated Vehicles

7:30-8:00 pm, Qi Alfred Chen
Towards Secure and Robust AI Stack in Autonomous Driving and Intelligent Transportation

8:00-8:30 pm, Xuan Sharon Di
Physics-Informed Deep Learning for Traffic State Estimation and Fundamental Diagram Discovery

8:30-9:00 pm, Chang-Yi Luo
V2X Service in Japan and Challenges in V2X Realization

9:00-9:30 pm, Xuesong Zhou
CAV Modeling Rising Up with Digital Twin: Transforming the Interconnection Between Open Data, Researchers, and City Planners

Workshop Organizers

Ziran Wang, Principal Researcher
Toyota Motor North America R&D - InfoTech Labs, USA
Qi Zhu, Associate Professor
Northwestern University, USA
Guoyuan Wu, Associate Research Engineer
University of California, Riverside, USA
Jiaqi Ma, Associate Professor
University of California, Los Angeles, USA
Chung-Wei Lin, Associate Professor
National Taiwan University, Taiwan
Bowen Zheng, Software Engineer
Pony.ai, USA