Dynamic Data-Driven Avionics Systems (DDDAS) embody ideas from the Dynamic DataDriven Application Systems paradigm by creating a data-driven feedback loop that analyzes spatio-temporal data streams coming from aircraft sensors and instruments, looks for errors in the data signaling potential failure modes, and corrects for erroneous data when possible. In case of emergency, DDDAS need to provid...

PROBLEM There is concern in the aviation community that pilot schedules can lead to fatigue and increased chance of an aviation accident. Yet despite this concern, there is little empirical analysis showing the relationship between pilot schedules and commercial aviation accidents. This study attempts to demonstrate an empirical relationship between pilot schedules and aviation accidents. MET...

The investigation of ice formation found important applications in many different fields. For instance, the accretion of ice is a common occurrence on the aircraft, due to the high velocity and humidity, and low temperature at upper air. The detection of ice formation on aircrafts is a critical issue since not only the aerodynamics change, but there is also the possibility of ice liberation fro...

A two phase novelty detection approach to locating abnormalities in the descent phase of aircraft flight data is presented. It has the ability to model normal time series data by analysing snapshots at chosen heights in the descent, weight individual abnormalities and quantitatively assess the overall level of abnormality of a flight during the descent to a given runway. The method models norma...

All over the world, vehicles introduced now into market are usually provided with EDRs (Event Data Recorders), intended to measure and record parameters that characterise vehicle motion in pre-, during-, post-accident phases. The facilitate description reconstruction of possible road accidents. They patterned on aircraft “black boxes” (flight recorders). Many them have simplified design, disreg...

In recent years cognitive error models have provided insights into the unsafe acts that lead to many accidents in safety-critical environments. Most models of accident causation are based on the notion that human errors occur in the context of contributing factors. However, there is a lack of published information on possible links between specific errors and contributing factors. A total of 61...

This experiment tested the hypothesis that the larger the size of aircraft accidents, the more overestimated the frequency of the accidents, as well as their associated risk. Ten descriptions of fatal accidents in which everyone died, and 30 of non-fatal ones in which several were injured, some seriously, were used as experimental stimuli. The independent variable was the size of fatal accident...

A flightcrew’s behavior is affected by the set of concurrent tasks they are attending to at any given time, and system performance is dependent on the availability of both human and system resources. If the demands of concurrent tasks exceed the flightcrew’s supply of resources or the resources are improperly allocated, i.e., poorly managed, then the flightcrew is likely to exhibit degraded per...

Human factors certification criteria are being developed for large civil aircraft to replace the interim policies currently in place for this purpose. The objective of these initiatives is to reduce the incidence of design induced error. Many formal error identification and prediction techniques currently exist, however none of these have been validated for their use in an aviation context due ...

Many organizations possess large collections of textual reports that document how a problem is solved or analysed, e.g. medical patient records, industrial accident reports, lawsuit records and investigation reports. Effective use of expert knowledge contained in these reports may greatly increase productivity of the organization. In this article, we propose a method for automatic extraction of...