ENAC Seminar Series by Prof. S. Di
Event details
| Date | 06.02.2020 |
| Hour | 11:00 › 12:00 |
| Speaker | Prof. Sharon Di |
| Location | |
| Category | Conferences - Seminars |
11:00 – 12:00 – Prof. Sharon Di
Assistant Professor, Columbia University, USA
Harnessing Game Theory & Big Data for Autonomous and Connected Transportation Ecosystem
Emerging transportation technology, namely, vehicle automation and connectivity, is expected to revolutionize the future transportation ecosystem. However, such disruptive technology can be a double-sided sword, adversely impacting social welfare, if not properly managed or designed. My research aims to understand the social, policy, legal, and ethical implications of the emerging technologies in transportation and develop optimal interventions to achieve desirable outcomes. In this talk, I will introduce how I address the technological challenges of vehicle automation and shared mobility leveraging the core concepts of game theory, machine learning, and dynamic control. Accordingly, my talk is comprised of three components: to design optimal controls for autonomous vehicles in presence of human driven vehicles, to plan optimal infrastructure and policies for shared mobility, and to utilize big data in transportation for societal challenges.
Assistant Professor, Columbia University, USA
Harnessing Game Theory & Big Data for Autonomous and Connected Transportation Ecosystem
Emerging transportation technology, namely, vehicle automation and connectivity, is expected to revolutionize the future transportation ecosystem. However, such disruptive technology can be a double-sided sword, adversely impacting social welfare, if not properly managed or designed. My research aims to understand the social, policy, legal, and ethical implications of the emerging technologies in transportation and develop optimal interventions to achieve desirable outcomes. In this talk, I will introduce how I address the technological challenges of vehicle automation and shared mobility leveraging the core concepts of game theory, machine learning, and dynamic control. Accordingly, my talk is comprised of three components: to design optimal controls for autonomous vehicles in presence of human driven vehicles, to plan optimal infrastructure and policies for shared mobility, and to utilize big data in transportation for societal challenges.
Practical information
- General public
- Free
Organizer
- ENAC
Contact
- Cristina Perez