In this project we will investigate how to improve traffic situations in a densely populated region by using intelligent traffic control with Vehicle-to-infrastructure (V2X) information technologies. Our ultimate goal is to form a closed loop between traffic light schedulers and traffic signal end users (i.e., vehicles), whose joint efforts will eventually lead to an intelligent and highly adaptive road traffic management system.
The goal of this research is to develop a distributed model-predictive air flow management approach (in terms of flight routing and scheduling), which is applicable to a large-scale air traffic network, and can mitigate the network-wise en-route and airport arrival delay caused by reduction of link capacities during abnormal situations such as severe weather in some regions or airspace restrictions due to military operational needs.
Intelligent Power Management
Aerospace Integrated Electrical System (AIES) (Aug 2018 - Jan 2019)
In this project, an intelligent power management for civil aircraft will be developed, based on a much smaller scale of power system architecture. The main objective is to develop an intelligent power management system that is scalable and flexible to be applied to systems with different levels of complexity.