Adaptive Cockpit

From MIT Technology Roadmapping
Revision as of 05:49, 10 October 2024 by Bertucci (talk | contribs) (Added OPM to roadmap)
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Roadmap Overview

Focuses on the integration of artificial intelligence, particularly machine learning, into safety-critical aviation systems while maintaining the highest standards of safety and trustworthiness. It encompasses a phased approach, starting with human assistance/augmentation (Level 1 AI), progressing to human-AI teaming (Level 2 AI), and ultimately advancing to more automated solutions (Level 3 AI). Key aspects include developing AI assurance frameworks, addressing human factors in AI integration, implementing safety risk mitigation strategies, and ensuring compliance with evolving regulatory requirements. This technology aims to enhance aviation safety, efficiency, and performance across various domains including aircraft design and operation, air traffic management, and unmanned aircraft systems.

DSM Allocation

OPM of 3AISC

Roadmap Model

DSM Allocation for 3AISC Roadmap

DSM Heirarchy for 3AISC Roadmap

Figures of Merit

Important FOMs for 3AISC
Figure of Merit Description Trends Units
Incident Rate Rate of incidents and accidents normalized by flight time aircraft

incidents passenger mile

System Maintainability How easy it is to maintain the aircraft systems, measured by comparing maintenance time per flight time

maintenance hours passenger mile

System Ease of Operation Measure how easy it is to operate the aircraft by comparing number of personnel required to operate a vehicle per flight hour

# of personnel passenger mile

Response Time Time required to identify and mitigate safety issues

minutes

System Uptime Amount of time aircraft is available to be dispatched on a mission as a percentage of wall time

%

Cognitive Load on Crew As measured by industry standard NASA TLX score

unitless