This paper reports trends in R&D of Airborne Separation Assistance System (ASAS). ASAS applications are expected to contribute to improvement in current Air Traffic Management (ATM) system and to smooth transition towards a future ATM system. ASAS R&D is being conducted globally. The way to apply ASAS is being discussed for an early implementation. The aim of this report is to provide state-of-the-art information concerning ASAS applications.

Firstly, the concept of ASAS is explained to ensure a common understanding. Secondly, ASAS Package 1 applications are described which have been discussed in the ASA (Airborne Separation Assistance) group during the ASAS-RFG (Requirements Focus Group) meeting. Major topics as In-Trail Procedure (ITP), Visual Separation Approach (VSA), and Sequencing and Merging (S&M), are presented based on trend survey at the ASAS-RFG meeting held on July 2007 and January 2008.

Nowadays, advanced systems are becoming increasingly sophisticated with technological progress. However, support systems for cooperative work have not yet been sufficiently studied. To understand and support the organisation of collaborative activity, it is important to develop safe and efficient systems in the real world. Moreover, good team cooperation can contribute to reducing workload and preventing human error.

In this paper, we first introduce three research attempts that focus on cooperative work based on field analysis. This research shows ideas about how we should develop collaborative work from a scientific approach. After that, we present our new research concept for systems supporting cooperative activity. We also introduce research into the remote tower concept, which is advanced air traffic tower control using augmented reality systems, as a new research orientation of support technology for the future of Air Traffic Control Systems.

The direction finding (DF) for signal sources is usefull method for investigating signal environment. The methods for DF are fundamental problem of electromagnetics. Therefore, the application of the DF attracts attention, but the basic point of DF method are not treated. This technical report presents the fundamental direction finding methods. And we investigated the method of DF for the interference signal source in Aeronautical Radio Navigation Service (ARNS) band. Additionally, we present the results of computation for detecting the interference signals.