It seemed almost impossible, but now it's done. Early 2019 we set out on a journey to improve upon the acclimatisation logic in bio-mathematical models. Our aim was to let the model rely more heavily on light exposure, and less on the geo-political time zones. This in order to facilitate for gradual adjustment of body clock to early and late roster patterns, but also to better capture jet lag aspects in large time zone transitions so that predictions of sleeping patterns could be further improved. It turned out to be a lot harder than we expected. Research often is. Once here, we not only succeeded with the light-guided acclimatisation, but as a by-product we have now also improved and re-tuned many other mechanisms in the model. The outcome is a sweet improvement in prediction accuracy of both alertness levels and sleep, measured on vast amounts of collected aviation fatigue data. We can proudly say it is the best version of BAM so far.
BAM3 has now been scheduled for 'general availability' on November 18, meaning it can be used from that date in CrewAlert and Concert, with optimisers in all Jeppesen crew management solutions, as well as within third party applications. More information about this release will follow in the next News Flash. Meanwhile, if your organisation is considering upgrading to BAM, we recommend using this comparison matrix for a structured side-by-side evaluation of fatigue model capabilities. You are welcome to contact us here for more information on how to integrate BAM into your planning processes - making a real difference.
Comentários