dc.contributor.author | LEVA, CHIARA | |
dc.date.accessioned | 2009-03-09T16:43:45Z | |
dc.date.available | 2009-03-09T16:43:45Z | |
dc.date.issued | 2009 | |
dc.date.submitted | 2009 | en |
dc.identifier.citation | Leva M.C. De Ambroggi M., Grippa D.,De Garis R, Trucco P. and Strater O `Quantitative analysis of ATM safety issues using retrospective accident data: The DRM project? in Safety Science, 47, (2), 2009, pp 250 - 264 | en |
dc.identifier.other | Y | |
dc.identifier.other | Y | en |
dc.description | PUBLISHED | en |
dc.description.abstract | The Dinamic Risk Modelling was a research project aimed at developing a
simulation approach able to provide a quantitative analysis of some critical activities of
Air Traffic Control (ATC) operators considering the organizational context in which they
take place, the main cognitive processes underneath, and the possibility to inform the
analysis using retrospective accident data.
The pilot study was aimed at providing an overview of possible opportunities related to
the use of a cognitive simulator within the Eurocontrol framework called CONOPS
(which is a detailed description of future operational concept for Air Traffic in Europe).
The approach chosen within the field of HRA (Human Reliability Analysis) made use of
a cognitive Simulator (named PROCOS), developed by Politecnico di Milano. The
simulator in fact was built based on an Information Processing Level very much
compatible with the one embedded in a method used by Eurcontrol for collecting
accident data named HERA.
The pilot application was able to modify the calibration process of the simulator and
make use of the retrospective accident data that was available.
The resulting approach can interact with standard risk assessment methodologies in order
to analyze the criticalities arising from human performance in the ATC working contexts
in the light of past experience. | en |
dc.format.extent | 250 | en |
dc.format.extent | 264 | en |
dc.format.extent | 1423217 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en |
dc.publisher | Elsevier | en |
dc.relation.ispartofseries | Safety Science | en |
dc.relation.ispartofseries | 47 | en |
dc.relation.ispartofseries | 2 | en |
dc.rights | Y | en |
dc.subject | cognitive simulation | en |
dc.subject | human reliability analysis | en |
dc.subject | Air Traffic Control | en |
dc.subject | Dynamic Risk Modeling | en |
dc.title | Quantitative analysis of ATM safety issues using retrospective accident data: The DRM project | en |
dc.type | Journal Article | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/levac | |
dc.identifier.uri | http://hdl.handle.net/2262/28046 | |