China
Africa
Explore chapters and articles related to this topic
Emergent Behaviour
Published in Andrew Cook, Damián Rivas, Complexity Science in Air Traffic Management, 2016
Henk A.P. Blom, Mariken H.C. Everdij, Soufiane Bouarfa
This section illustrates the application of agent-based safety risk analysis to an advanced airborne self-separation design. The idea of airborne self-separation (or free flight) is that pilots manage separation using an airborne separation assistance system (ASAS). Although free flight has been researched since its ‘invention’ (RTCA, 1995), a dispute has continued between two schools of researchers. One school believes that the emergent behaviour and properties of free flight are such that it can safely accommodate high traffic demand. The other school disagrees. Positive pilot findings (Ruigrok and Hoekstra, 2007) during human-in-the-loop simulations of free flight have not resolved this dispute. There is a need for a systematic understanding of rare emergent behaviours and the safety macro properties of free flight. To this end, Blom and Bakker (2011, 2012, 2013, 2014) have conducted an agent-based safety risk analysis of an advanced airborne self-separation design; this forms the background of the case study presented in this section.
Detect and Avoid
Published in Douglas M. Marshall, R. Kurt Barnhart, Eric Shappee, Michael Most, Introduction to Unmanned Aircraft Systems, 2016
Dallas Brooks, Stephen P. Cook
Self-separation is the capability of an aircraft to maintain acceptable separation (i.e., remain “well clear”) from other aircraft without the need for guidance from an external agent such as air traffic control. Self-separation maneuvers occur at greater times and distances from other aircraft than collision avoidance maneuvers and are intended to be normal, non-obtrusive maneuvers that will not conflict with accepted air traffic separation standards. The intent of self-separation is to ensure the UAS remains “well clear” and preclude, through non-disruptive maneuvering, the need to execute a collision avoidance maneuver. The time and distance minima required for a UAS to remain “well clear” are discussed in Section 15.8.
Cognitive work analysis in the conceptual design of first-of-a-kind systems – designing urban air traffic management
Published in Behaviour & Information Technology, 2018
Jonas Lundberg, Mattias Arvola, Carl Westin, Stefan Holmlid, Mathias Nordvall, Billy Josefsson
Further, fixed and shared use tube networks (the Zones concepts in the Metropolis project (Sunil et al. 2015)) could also be used. However, then traffic inside the tubes must also be managed. Either the tubes must be segmented (reserved for specific drones during specific times), or traffic inside the tubes must be monitored (as points) or be based on self-separation (unstructured traffic). However, the problem of self-separation inside tubes may be simpler than that of self-separation in free flight. This is because admittance to specific tubes may be based on drone performance and technology level. There could for instance, be a high-speed tube for drones with specific separation capabilities and high-speed performance. Different configurations may be based on planning of specific flights or based on regularly occurring patterns during different times of the day.