Traffic conflict reduction based on distributed stochastic task allocation

dc.contributor.authorÖreg, Zsombor
dc.contributor.authorShin, Hyosang
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2022-02-02T12:26:12Z
dc.date.available2022-02-02T12:26:12Z
dc.date.issued2022-01-28
dc.description.abstractThe aim of this paper is to provide preliminary results on a traffic coordination framework based on stochastic task allocation. General trends and the predicted advent of personal aerial vehicles increase traffic rapidly, but current air traffic management methods admittedly cannot scale appropriately. A hierarchical system is proposed to overcome the problem, the middle layer of which is elaborated in this paper. This layer aims to enable stochastic control of traffic behaviour using a single parameter, which is achieved by applying distributed stochastic task allocation. The task allocation algorithm is used to allocate speeds to vehicles in a scalable way. By regulating the speed distribution of vehicles the conflict rates remain manageable. Multi-agent simulation results show that it is possible to control ensemble dynamics and together with that traffic safety and throughput via a single parameter. Using transient simulations the dynamic performance of the system is analysed. It is shown that the traffic conflict reduction problem can be transformed into a control design problem. The performance of a simple controller is also evaluated. It was shown that by applying the controller, quicker transients can be achieved for the mean speed of the system.en_UK
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC): EP/N509450/1.en_UK
dc.identifier.citationOreg Z, Shin H-S, Tsourdos A. (2022) Traffic conflict reduction based on distributed stochastic task allocation, The Aeronautical Journal, Volume 126, Issue 1300, June 2022, pp. 993-1025en_UK
dc.identifier.eissn2059-6464
dc.identifier.issn0001-9240
dc.identifier.urihttps://doi.org/10.1017/aer.2021.119
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17532
dc.language.isoenen_UK
dc.publisherCambridge University Pressen_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectAutonomous systemsen_UK
dc.subjectUnmanned traffic managementen_UK
dc.subjectUrban air mobilityen_UK
dc.subjectMulti-agent simulationen_UK
dc.subjectAir traffic conflicten_UK
dc.subjectStochastic task allocationen_UK
dc.subjectStochastic analysisen_UK
dc.titleTraffic conflict reduction based on distributed stochastic task allocationen_UK
dc.typeArticleen_UK

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