Decision-Support System for Safety and Security Assessment and Management in Smart Cities
Authors: González-Villa, J., Cuesta, A., Spagnolo, M., Zanotti, M., Summers, L., Elms, A., Dhaya, A., Jedlička, K., Martolos, J. and Cetinkaya, D.
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 13374 LNCS
Pages: 26-36
eISSN: 1611-3349
ISSN: 0302-9743
DOI: 10.1007/978-3-031-13324-4_3
Abstract: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, providing information on evacuation strategies, the probability or expected impact of terrorist threats and the state of the traffic network in normal or unusual conditions allowing the emergency to be managed throughout its evolution.
https://eprints.bournemouth.ac.uk/37093/
Source: Scopus
Decision-Support System for Safety and Security Assessment and Management in Smart Cities
Authors: Gonzalez-Villa, J., Cuesta, A., Spagnolo, M., Zanotti, M., Summers, L., Elms, A., Dhaya, A., Jedlicka, K., Martolos, J. and Cetinkaya, D.
Journal: IMAGE ANALYSIS AND PROCESSING, ICIAP 2022 WORKSHOPS, PT II
Volume: 13374
Pages: 26-36
eISSN: 1611-3349
ISBN: 978-3-031-13323-7
ISSN: 0302-9743
DOI: 10.1007/978-3-031-13324-4_3
https://eprints.bournemouth.ac.uk/37093/
Source: Web of Science (Lite)
Decision-Support System for Safety and Security Assessment and Management in Smart Cities
Authors: González-Villa, J., Cuesta, A., Spagnolo, M., Zanotti, M., Summers, L., Elms, A., Dhaya, A., Jedlička, K., Martolos, J. and Cetinkaya, D.
Conference: Human Behaviour Analysis for Smart City Environment Safety (HBAxSCES) held within ICIAP'21 (21st International Conference on Image Analysis and Processing)
Dates: 23 May 2022
https://eprints.bournemouth.ac.uk/37093/
Source: Manual
Decision-Support System for Safety and Security Assessment and Management in Smart Cities
Authors: González-Villa, J., Cuesta, A., Spagnolo, M., Zanotti, M., Summers, L., Elms, A., Dhaya, A., Jedlička, K., Martolos, J. and Cetinkaya, D.
Conference: ICIAP 2021: International Conference on Image Analysis and Processing: Human Behaviour Analysis for Smart City Environment Safety (HBAxSCES)
Pages: 1-12
Publisher: Italian Association for Research in Computer Vision, Pattern Recognition and Machine Learning (CVPL, ex GIRPR) which is part of the International Association for Pattern Recognition (IAPR)
Abstract: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, providing information on evacuation strategies, the probability or expected impact of terrorist threats and the state of the traffic network in normal or unusual conditions allowing the emergency to be managed throughout its evolution.
https://eprints.bournemouth.ac.uk/37093/
https://www.iciap2021.org/eventagenda/
Source: BURO EPrints