| Title |
Improving emergency response in the era of ADAS vehicles in the Smart City |
| ID_Doc |
36201 |
| Authors |
Capodieci, N; Cavicchioli, R; Muzzini, F; Montagna, L |
| Title |
Improving emergency response in the era of ADAS vehicles in the Smart City |
| Year |
2021 |
| Published |
Ict Express, 7, 4 |
| DOI |
10.1016/j.icte.2021.03.005 |
| Abstract |
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. (C) 2021 The Korean Institute of Communications and Information Sciences (KICS). Publishing services by Elsevier B.V. |
| Author Keywords |
Smart City; Multi-agent systems; Simulation |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000724498300013 |
| WoS Category |
Computer Science, Information Systems; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
https://doi.org/10.1016/j.icte.2021.03.005
|