Project: Climate-Resilient Trajectory Optimization for Air and Sea Transport: Enhancing Efficiency and Safety in the Face of Extreme Weather Events.
Supervisors: Dante Kalise (Imperial) & Paul D Williams (Meteorology, University of Reading)
Project Description:
This PhD project aims to develop novel trajectory planning methods for air and sea transport to reduce CO2 emissions and enhance resilience to extreme weather events. The research will incorporate methods from optimal control theory and scientific computing, together with real-world weather data to address transport planning challenges posed by climate change and extreme weather events. The main objectives of the project are:
- Solving large-scale dynamic optimization problems to minimize C02 emissions.
- Implementing robust algorithms to handle uncertainties in weather forecasts.
- Developing a multi-objective optimization framework balancing emissions, safety regulations, and resilience to extreme weather events.
- Assessing he performance of the proposed methodology over real-world meteorological data.
