Computing That Serves

Ensuring Aviation Safety: Verification of Interactions between Automated Systems and Humans


Thursday, November 6, 2014 - 11:00am


Neha Rungta


Eric Mercer

Colloquium prsesented by Dr. Neha Rungta, Research Scientist at the NASA Ames Research Center

Thursday, November 6, 2014 at 11:00AM

1170 TMCB

The on-going transformation from the current US Air Traffic System (ATS) to the Next Generation Air Traffic System (NextGen) will introduce new automated systems on the ground as well as in air. This yields new function allocations between humans and automation leading to a change in the roles and responsibilities of people part of the ATS. Yet, safety in NextGen is required to be at least as good as in the current system. We therefore need techniques to efficiently evaluate the safety of the interactions between humans and different types of automation. Current human factor studies and simulation-based techniques fall short in front of the ATS complexity. At NASA we have developed an approach based on modeling and analysis of humans and automation as a set of agents. We present our how we model and analyze complex scenarios of differing specificities including the Air France Flight 447 accident, the optimized profile descent, and go-around scenarios.


Dr. Neha Rungta is a Research Scientist at the NASA Ames Research Center located in California. Dr. Rungta’s research interests are in software model checking, verification of multi-agent systems for aviation safety, requirements analysis, and automated program analysis. In the past 10 years, Dr. Rungta’s work has been geared toward developing verification techniques for automated test case generation, detection of subtle concurrency errors, incremental program analysis, and verification of multi-agent systems. Dr. Rungta has published in several leading journals as well as software engineering and multi-agent system conferences. She has chaired conferences such as the NASA Formal Methods (NFM) and the SPIN symposium on software model checking. Dr. Rungta graduated with a PhD in Computer Science from BYU in 2009.