Presented By: Michigan Robotics
Enhancing Safety, Efficiency and Resilience in Advanced Air Mobility Through Geofencing, Contingency Landing Management, and Optimized Network Strategies
PhD Defense, Joseph Kim
Co-chairs: Ella Atkins & Max Li
Abstract:
Advanced Air Mobility (AAM) is rapidly advancing, poised to revolutionize transportation. This innovation promises efficient urban and regional transportation by bypassing ground congestion, reducing emissions, and enhancing connectivity. As efficient and safe transportation is vital for national well-being, we face challenges that must be addressed. Our research contributes to the development of a safe and efficient AAM operational framework by offering novel solutions for airspace management, contingency planning, and optimal traffic network strategies. This presentation will highlight two key chapters of our work: 1. Assured contingency landing management, providing solutions for distressed AAM scenarios, and 2. Centralized and distributed AAM traffic management, incorporating various constraints for seamless AAM operations.
Abstract:
Advanced Air Mobility (AAM) is rapidly advancing, poised to revolutionize transportation. This innovation promises efficient urban and regional transportation by bypassing ground congestion, reducing emissions, and enhancing connectivity. As efficient and safe transportation is vital for national well-being, we face challenges that must be addressed. Our research contributes to the development of a safe and efficient AAM operational framework by offering novel solutions for airspace management, contingency planning, and optimal traffic network strategies. This presentation will highlight two key chapters of our work: 1. Assured contingency landing management, providing solutions for distressed AAM scenarios, and 2. Centralized and distributed AAM traffic management, incorporating various constraints for seamless AAM operations.
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Livestream Information
ZoomMarch 15, 2024 (Friday) 10:00am
Meeting ID: 99829898803
Meeting Password: 862822
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