CS Events

PhD Defense

Data-Driven Cyber-Physical Systems for Socially Informed Mobility

 

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Friday, August 20, 2021, 09:00am - 11:00am

 

Speaker: Guang Wang

Location : Remote via Zoom

Committee

Prof. Desheng Zhang (chair)

Prof. Jie Gao

Prof. Yongfeng Zhang

Dr. Ruilin Liu (external member)

Event Type: PhD Defense

Abstract: With the ever-increasing concerns for air pollution and energy security, in recent years, we are witnessing a rapid emergence of innovative mobility systems (e.g., electric vehicles and shared mobility like carsharing and bikesharing). These mobility systems are believed to be able to make a clearer environment for us. In addition, the fast development of advanced sensing technologies and communication devices provides us a good opportunity to collect and accumulate long-term massive data from these mobility systems, which are essential for us to extract domain knowledge and understand their mobility patterns, charging issues, user behaviors, as well as the potential roadblocks during their promotion process. These understandings and knowledge based on real-world data can benefit different parties including governments, providers, drivers, and passengers/users. For example, we can further enhance the current mobility systems and provide better decision-making services after identifying their drawbacks. Hence, in this dissertation, I propose a data-driven framework to understand innovative mobility systems and physical phenomena by data-driven long-term measurement and prediction based on large-scale data, and then manage and enhance these mobility systems by socially informed decision making. I will utilize two examples to illustrate our contributions, which have the potential to pave the way for future shared autonomous mobility systems. Finally, I will talk about some opportunities and challenges for my future work.

 

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