Probabilistic model checking of the next-generation airborne collision avoidance system
| Autor: | Daniel Genin, Aurora Schmidt, Raymond C. McDowell, Christopher Rouff, Ryan W. Gardner, Anshu Saksena |
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| Rok vydání: | 2016 |
| Předmět: |
Engineering
Markov chain business.industry Probabilistic logic 020207 software engineering 02 engineering and technology Atmospheric model Collision Airborne collision avoidance system 0202 electrical engineering electronic engineering information engineering business Probabilistic model checking Collision avoidance Simulation |
| Zdroj: | 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC). |
| DOI: | 10.1109/dasc.2016.7777963 |
| Popis: | We present a probabilistic model checking approach for evaluating the safety and operational suitability of the Airborne Collision Avoidance System X (ACAS X). This system issues advisories to pilots when the risk of mid-air collision is imminent, and is expected to be equipped on all large, piloted aircraft in the future. We developed an approach to efficiently compute the probabilities of generically specified events and the most likely sequences of states leading to those events within a discrete-time Markov chain model of aircraft flight and ACAS X. The probabilities and sequences are computed for all states in the model. Events of interest include near mid-air collisions (NMACs) and undesirable sequences of advisories that affect operational suitability. We have validated numerous observations of the model with higher-fidelity simulations of the full system. This analysis has revealed several characteristics of ACAS X's behavior. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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