Milbredt, Olaf und Popa, Andrei und Draeger, Christina (2023) Parameter Study on the Use of Artificial Intelligence to Optimize Response to Unattended Bags to Increase Airport Security. In: Communications in Computer and Information Science, 1911, Seiten 405-414. Springer. 22nd Asia Simulation Conference, 2023-10-25 - 2023-10-26, Langkawi Island, Malaysia. doi: 10.1007/978-981-99-7240-1_32. ISBN 978-303032422-3. ISSN 1865-0929.
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Kurzfassung
As a vulnerable transportation hub, the airport can become the target of an attack at any time. Airport security, therefore, touches a fundamental aspect of our society: moving without fear. The attackers' methods become increasingly sophisticated. It is therefore essential to react quickly and adequately through unforeseen events. Every piece of unattended baggage --- a commonly occurring incident --- potentially poses a threat. The digitalization of airports has been advanced over the last decade. This circumstance opens the possibility to a broader use of Artificial Intelligence. AI is already being successfully used in individual areas of an airport. These range from intelligent video surveillance through border control to monitoring high-security areas. In this work, an exemplary environment was examined depicting the actions necessary to neutralize an unattended piece of baggage (\eg a suitcase). The AI method Reinforcement Learning, especially the Deep Q-Network method, was used to train an agent to solve the challenge of choosing an optimal sequence of actions. This special method gives rise to a set of parameters, namely learning rate, batch size and the number of iterations. By means of a parameter study, a set of parameters was searched for enabling the agent to adequately solve the challenge.
elib-URL des Eintrags: | https://elib.dlr.de/198562/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Parameter Study on the Use of Artificial Intelligence to Optimize Response to Unattended Bags to Increase Airport Security | ||||||||||||||||
Autoren: |
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Datum: | Oktober 2023 | ||||||||||||||||
Erschienen in: | Communications in Computer and Information Science | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Nein | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
Band: | 1911 | ||||||||||||||||
DOI: | 10.1007/978-981-99-7240-1_32 | ||||||||||||||||
Seitenbereich: | Seiten 405-414 | ||||||||||||||||
Herausgeber: |
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Verlag: | Springer | ||||||||||||||||
Name der Reihe: | Methods and Applications for Modeling and Simulation of Complex Systems | ||||||||||||||||
ISSN: | 1865-0929 | ||||||||||||||||
ISBN: | 978-303032422-3 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | Airport Security, Artificial Intelligence, Reinforcement Learning | ||||||||||||||||
Veranstaltungstitel: | 22nd Asia Simulation Conference | ||||||||||||||||
Veranstaltungsort: | Langkawi Island, Malaysia | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 25 Oktober 2023 | ||||||||||||||||
Veranstaltungsende: | 26 Oktober 2023 | ||||||||||||||||
Veranstalter : | Malaysian Simulation Society | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Luftfahrt | ||||||||||||||||
HGF - Programmthema: | Luftverkehr und Auswirkungen | ||||||||||||||||
DLR - Schwerpunkt: | Luftfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | L AI - Luftverkehr und Auswirkungen | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | L - Lufttransportbetrieb und Folgenabschätzung | ||||||||||||||||
Standort: | Braunschweig | ||||||||||||||||
Institute & Einrichtungen: | Institut für Verkehrssystemtechnik > Informationsgewinnung und Modellierung, BS Institut für Verkehrssystemtechnik > Design & Bewertung von Mobilitätslösungen, BS | ||||||||||||||||
Hinterlegt von: | Milbredt, Dr. Olaf | ||||||||||||||||
Hinterlegt am: | 10 Nov 2023 13:38 | ||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:59 |
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