Title:	Decision-Support System for Safety and Security Assessment and Management in Smart Cities
Authors:	Gonzalez-Villa, Javier Cuesta, Arturo Spagnolo, Marco Zanotti, Marisa Summers, Luke Elms, Alexander Dhaya, Anay Jedlička, Karel Martolos, Jan Cetinkaya, Deniz
Citation:	GONZALEZ-VILLA, J. CUESTA, A. SPAGNOLO, M. ZANOTTI, M. SUMMERS, L. ELMS, A. DHAYA, A. JEDLIČKA, K. MARTOLOS, J. CETINKAYA, D. Decision-Support System for Safety and Security Assessment and Management in Smart Cities. In Image Analysis and Processing – ICIAP. Cham: Springer, 2022. s. 26-36. ISBN: 978-3-031-13324-4 , ISSN: 0302-9743
Issue Date:	2022
Publisher:	Springer
Document type:	konferenční příspěvek ConferenceObject
URI:	http://hdl.handle.net/11025/51690
ISBN:	978-3-031-13324-4
ISSN:	0302-9743
Keywords in different language:	Security and safety;Evacuation;Terrorism;Threats;Fire and smoke;Traffic;Simulation;Decision support system
Abstract in different language:	Counter-terrorism and its preventive and response actions are crucial factors in security planning and protection of mass events, soft targets and critical infrastructures in urban environments. This paper presents a comprehensive Decision Support System developed under the umbrella of the S4AllCitites project, that can be integrated with legacy systems deployed in the Smart Cities. The system includes urban pedestrian and vehicular evacuation, considering ad-hoc predictive models of the evolution of incendiary and mass shooting attacks in conjunction with a probabilistic model for threat assessment in case of improvised explosive devices. The main objective of the system is to provide decision support to public or private security operators in the planning and real time phases in the prevention or intervention against a possible attack.
Rights:	© Springer
Appears in Collections:	Konferenční příspěvky / Conference Papers (KGM) OBD

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