ENAC Seminar Series by Dr Y. Zheng
Event details
| Date | 03.02.2020 |
| Hour | 13:30 › 14:30 |
| Speaker | Dr Yang Zheng |
| Location | |
| Category | Conferences - Seminars |
13:30 – 14:30 – Dr Yang Zheng
Postdoctoral researcher, Harvard University, USA
Integrating Autonomy into Traffic Systems: Scalable Control and Optimization
Traffic systems are undergoing a fundamental transformation. The emergence of connected and autonomous vehicles (CAVs) provides tremendous opportunities for sustainability, efficiency, and safety. Before 100% CAVs are introduced in traffic systems, there will be a long transition period of mixed mobility, where both human-driven vehicles and CAVs co-exist. Timely and important questions are: can a small number of CAVs benefit urban mobility, and, if so, how? Moreover, the design and operation of CAVs in traffic systems are becoming increasingly complex, due to system size, connectivity, and heterogeneity. This talk presents contributions in distributed control and scalable optimization techniques, which are critical for integrating autonomous vehicles into the existing traffic systems. In particular, I will provide theoretical evidence of the high potential of CAVs in mixed mobility, and I will further show how to exploit sparsity structures to design scalable and distributed algorithms that allow operating CAVs in large-scale mixed traffic systems.
Postdoctoral researcher, Harvard University, USA
Integrating Autonomy into Traffic Systems: Scalable Control and Optimization
Traffic systems are undergoing a fundamental transformation. The emergence of connected and autonomous vehicles (CAVs) provides tremendous opportunities for sustainability, efficiency, and safety. Before 100% CAVs are introduced in traffic systems, there will be a long transition period of mixed mobility, where both human-driven vehicles and CAVs co-exist. Timely and important questions are: can a small number of CAVs benefit urban mobility, and, if so, how? Moreover, the design and operation of CAVs in traffic systems are becoming increasingly complex, due to system size, connectivity, and heterogeneity. This talk presents contributions in distributed control and scalable optimization techniques, which are critical for integrating autonomous vehicles into the existing traffic systems. In particular, I will provide theoretical evidence of the high potential of CAVs in mixed mobility, and I will further show how to exploit sparsity structures to design scalable and distributed algorithms that allow operating CAVs in large-scale mixed traffic systems.
Practical information
- General public
- Free
Organizer
- ENAC
Contact
- Cristina Perez