Improving emergency response in the era of ADAS vehicles in the Smart City

Management of emergency vehicles can be fostered within a Smart City, i.e. an urban environment in which many IoT devices are orchestrated by a distributed intelligence able to suggest to road users the best course of action in different traffic situations. By extending MATSim (Multi-Agent Transport...

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Autores principales: Nicola Capodieci, Roberto Cavicchioli, Filippo Muzzini, Leonard Montagna
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/7e987cede88c4c98a5afbcd5b4a965d0
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spelling oai:doaj.org-article:7e987cede88c4c98a5afbcd5b4a965d02021-11-30T04:16:38ZImproving emergency response in the era of ADAS vehicles in the Smart City2405-959510.1016/j.icte.2021.03.005https://doaj.org/article/7e987cede88c4c98a5afbcd5b4a965d02021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2405959521000382https://doaj.org/toc/2405-9595Management of emergency vehicles can be fostered within a Smart City, i.e. an urban environment in which many IoT devices are orchestrated by a distributed intelligence able to suggest to road users the best course of action in different traffic situations. By extending MATSim (Multi-Agent Transport Simulation Software), we design and test appropriate mitigation strategies when traffic accidents occur within an existing urban area augmented with V2V (Vehicle-to-Vehicle), V2I (Vehicle-to-Infrastructure) capabilities and Advanced Driving Assisted cars (ADAS). Further, we propose traffic congestion models and related mechanisms for improving the necessary time for emergency vehicles to respond to accidents.Nicola CapodieciRoberto CavicchioliFilippo MuzziniLeonard MontagnaElsevierarticleSmart CityMulti-agent systemsSimulationInformation technologyT58.5-58.64ENICT Express, Vol 7, Iss 4, Pp 481-486 (2021)
institution DOAJ
collection DOAJ
language EN
topic Smart City
Multi-agent systems
Simulation
Information technology
T58.5-58.64
spellingShingle Smart City
Multi-agent systems
Simulation
Information technology
T58.5-58.64
Nicola Capodieci
Roberto Cavicchioli
Filippo Muzzini
Leonard Montagna
Improving emergency response in the era of ADAS vehicles in the Smart City
description Management of emergency vehicles can be fostered within a Smart City, i.e. an urban environment in which many IoT devices are orchestrated by a distributed intelligence able to suggest to road users the best course of action in different traffic situations. By extending MATSim (Multi-Agent Transport Simulation Software), we design and test appropriate mitigation strategies when traffic accidents occur within an existing urban area augmented with V2V (Vehicle-to-Vehicle), V2I (Vehicle-to-Infrastructure) capabilities and Advanced Driving Assisted cars (ADAS). Further, we propose traffic congestion models and related mechanisms for improving the necessary time for emergency vehicles to respond to accidents.
format article
author Nicola Capodieci
Roberto Cavicchioli
Filippo Muzzini
Leonard Montagna
author_facet Nicola Capodieci
Roberto Cavicchioli
Filippo Muzzini
Leonard Montagna
author_sort Nicola Capodieci
title Improving emergency response in the era of ADAS vehicles in the Smart City
title_short Improving emergency response in the era of ADAS vehicles in the Smart City
title_full Improving emergency response in the era of ADAS vehicles in the Smart City
title_fullStr Improving emergency response in the era of ADAS vehicles in the Smart City
title_full_unstemmed Improving emergency response in the era of ADAS vehicles in the Smart City
title_sort improving emergency response in the era of adas vehicles in the smart city
publisher Elsevier
publishDate 2021
url https://doaj.org/article/7e987cede88c4c98a5afbcd5b4a965d0
work_keys_str_mv AT nicolacapodieci improvingemergencyresponseintheeraofadasvehiclesinthesmartcity
AT robertocavicchioli improvingemergencyresponseintheeraofadasvehiclesinthesmartcity
AT filippomuzzini improvingemergencyresponseintheeraofadasvehiclesinthesmartcity
AT leonardmontagna improvingemergencyresponseintheeraofadasvehiclesinthesmartcity
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