Actually those smooth travel experiences are also most cost efficient and sustainable for airports and airlines. Let’s see how predictability can help to create a win-win all around! In this blog post we will explore the intricacies of manually set Off-Block Time (OBT) estimations versus machine generated predictions. We will first look into the importance of OBT before investigating current day Target Off-Block Time (TOBT) performance at several airports. We will then move on to showcase what level of accuracy can be achieved with the use of Machine Learning (ML) technology.

Some of these issues can be mitigated or even avoided. What are the most frequent issues that happen during turnarounds?

The quality of this data depends mostly on the quality of the detection mechanisms, which may differ from stand to stand, or from event to event. In this article, we will demonstrate typical challenges our computer vision system faces and discuss an efficient solution for dealing with them — AutoAugmentations.

According to IATA’s safety report, 15% of aircraft accidents were attributed to ground damage in 2018. Sixty-one percent of ground damages are caused by GSE (ground support equipment). Ground damages lead to additional expenses, decrease punctuality and operational efficiency. What’s more important, they may lead to injuries and fatalities.

Our Chief Customer Officer, Christiaan Hen, shared his views on why aviation might face a post-COVID capacity crunch and how to handle it

Sustainability on the ground is a trending topic in the aviation industry worldwide. This topic is becoming even more important during COVID crisis as some governments bail out airlines and demand to increase sustainability in return. One of the most effective ways to improve sustainability is to reduce fuel burn. If successfully implemented, efforts to reduce fuel burn will help to reduce CO2 emissions as well as fuel-related expenses.