Multivariate time-series modeling and forecasting constitutes an important problem with numerous applications. In this work, we consider multivariate continuous time series modeling from aviation, where the data consists of multiple sensor measurements from real world flights. While traditional approaches such as VAR (vector auto-regressive) models have been widely used for aviation time series...

This paper presents a new methodology, based on the probabilistic approach, for biorhythmic analysis to prevent aviation accidents. The methodology has been developed using the Gaussian distribution technique for reliability evaluation of the aviation system, keeping in mind the biorhythmic effects of the pilot. The normal distributed data of the US Air Force were tested and analysed based on t...

One of the causes of aviation accidents is lack of overview and analysis of the data particularly obtained from its maintenance operation performance. The aircraft maintenance system of an airline is a complex structure with information flow involving various stakeholders ensuring aircraft airworthiness while adhering to several regulatory standards, policies and procedures of Federal Aviation ...

The main objective in this study is to measure the effect of unstructured text on classification performance. A large dataset of aviation incidents reports was used in this study. In aviation incidents the proportion attributable to human factors is close to 90%. Therefore accurate identification of the presence of human factors in past aviation incidents is critical to improving aviation safet...

The Department for Transport of the UK (DfT) estimates an increase of 90% of air transport movements by 2050 compared to 2010. In order to offset such increase in the number of aircraft operations and avoid the consequent increase in noise impact on exposed populations, aviation industry is working on the development of new technologies for noise reduction. Within this context, organizations su...

Weather is one of the major causes of general aviation accidents. Researchers are addressing this problem from various perspectives including improving meteorological forecasting techniques, collecting additional weather data automatically via on-board sensors and "flight" modems, and improving weather data dissemination and presentation. We approach the problem from the improved presentation p...

A Delphi panel of aviation experts is used to anticipate probable and wildcard scenarios on the future of aviation in 2025. According to the experts’ estimations, the passenger, business aviation, and air cargo segments will be faced with 27 probable high-impact developments. These include long-haul growth primarily linked to emerging countries, a number of substitution threats, liberalization ...

This paper reviews research conducted in the Texas A&M University Flight Simulation Laboratory on intelligent systems for general aviation. Over the last eight years several intelligent cockpit systems and pilot decision-aiding tools have been created and developed for general aviation aircraft, using fix-based flight simulation validation and evaluation. This paper reviews these results, and a...

Both commercial aviation and resuscitation are complex activities in which team members must respond to unexpected emergencies in a consistent, high quality manner. Lives are at stake in both activities and the two disciplines have similar leadership structures, standard setting processes, training methods, and operational tools. Commercial aviation crews operate with remarkable consistency and...