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http://hdl.handle.net/1942/42246
Title: | Automatic Accident Detection System Using IoT Compared to the Systems that a Traffic Centre Uses for Accident Detection | Authors: | ZAVANTIS, Dimitrios Mandalozis, Dimitrios YASAR, Ansar Hasimi, Lumbarda |
Issue Date: | 2024 | Source: | Procedia Computer Science, 231 , p. 16 -23 | Abstract: | In recent years, vehicle traffic has become a major issue with a significant increase in the number of vehicles, leading to congestion on urban roads and motorways. This has resulted in an increase in accidents, causing more injuries and fatalities. There are many steps in managing an accident, it can be said assuring that one of the most important steps is the rapid detection of the incident and its exact location. Quick and accurate information enables emergency services to act quickly at the incident location and reduce their response times. This paper tries to compare the automatic accident detection system with traditional traffic center systems and analyze the importance of implementing this system to reduce accident detection times and accurately detect their location. The detection of the accident time and its location are crucial links in the accident management chain. | Keywords: | Traffic Safety;Accident Detection;Repsonse times;Accidnet Management;Emergency Services | Document URI: | http://hdl.handle.net/1942/42246 | ISSN: | 1877-0509 | DOI: | 10.1016/j.procs.2023.12.152 | Category: | A2 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Zavantis Dimitrios.pdf | Published version | 688.57 kB | Adobe PDF | View/Open |
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