Design and Control of High-performance Provably-safe Autonomy-enabled Dynamic Transportation

Autonomy-enabled transportation networks are rapidly becoming a prominent Cyber-Physical-Systems (CPS) application area with tremendous potential for societal impact, as the autonomous systems technology penetrates into aerial/road vehicles and as the concept of connected vehicles emerge. The potential opportunities are not gone unnoticed. For example, unmanned aerial vehicle (UAV) based delivery networks has already attracted innovative companies like Amazon, Google, and Matternet. Autonomous vehicles and vehicle sharing technologies may offer efficient and safe transportation infrastructure in the future. However, a deep understanding of the fundamental limits of and practical algorithm for autonomy-enabled transportation networks is essential for the large-scale deployment of these networks.