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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2021
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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) |
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Smart City Multi-agent systems Simulation Information technology T58.5-58.64 |
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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 |
_version_ |
1718406813691412480 |