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Author Debora Robles Perez; Manuel Esteve Domingo; Israel Perez Llopis; Federico J. Carvajal Rodrigo
Title System and Architecture of an Adapted Situation Awareness Tool for First Responders Type Conference Article
Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020
Volume Issue Pages 928-936
Keywords Critical Infrastructure Protection; First Responder; Command and Control; Autonomous Vehicles; Resilience
Abstract First responders (FRs) in Europe are currently facing large natural and man-made disasters (e.g. wild fire, terrorist attacks, industrial incidents, big floods, gas leaks etc.), that put their own lives and those of thousands of others at risk. Adapted situation awareneSS tools and taIlored training curricula for increaSing capabiliTies and enhANcing the proteCtion of first respondErs (ASSISTANCE) is an ongoing European H2020 project which main objective is to increase FRs Situation Awareness (SA) for helping and protecting different kinds of FRs' organizations that work together in large scale disasters mitigation. ASSISTANCE will enhance the SA of the FRs organisations during their mitigation activities through the integration of new paradigms, tools and technologies (e.g. drones/robots equipped with a range of sensors, robust communications capabilities, etc.) with the main objective of increasing both their protection and their efficiency.
Address Universitat Politècnica de València; Universitat Politècnica de València; Universitat Politècnica de València; Universitat Politècnica de València
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-27-83 ISBN 2411-3469 Medium
Track Technologies for First Responders Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management
Notes derobpe@upvnet.upv.es Approved no
Call Number Serial 2284
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Author Omar A. Owais; Ali Ghaffarian Hoseini; Hamzah E. Alqudah; Mani Poshdar
Title Deployment of Autonomous Vehicles to Support Emergency Response During Crisis Type Conference Article
Year 2023 Publication Proceedings of the ISCRAM Asia Pacific Conference 2022 Abbreviated Journal Proc. ISCRAM AP 2022
Volume Issue Pages 56-67
Keywords Autonomous Vehicles; Emergency; Food; COVID-19
Abstract Emergency response services face massive pressure during global crises, such as COVID-19. The food supply logistics sector is one of the pressures that impacted the emergency response services, due to crisis restrictions. A regulatory framework to deploy autonomous vehicles, in any nominated country, has been presented to boost the food supply logistics as an emergency response to critical situations to serve isolated areas. This framework resulted in three steps to deploy AVs in the nominated country, which are evaluating their legislation, modifying their existing regulations accordingly, and ensuring the full deployment of the innovative technology. This is done by minimising person-to-person contact during the transportation and distribution phase. In conclusion, fully autonomous vehicles can help lift the pressure from the emergency response teams in the food supply transportation and distribution phase to meet the basic living requirements for human needs during global crises.
Address Auckland University of Technology; Auckland University of Technology; TLC Contractors; Auckland University of Technology
Corporate Author Thesis
Publisher Massey Unversity Place of Publication Palmerston North, New Zealand Editor Thomas J. Huggins, V.L.
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Track Practitioners Track Expedition Conference
Notes Approved no
Call Number ISCRAM @ idladmin @ Serial 2480
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