| Autor: |
Ito Sadanori, Koji Zettsu |
| Jazyk: |
English<br />French |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
MATEC Web of Conferences, Vol 308, p 03006 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/202030803006 |
| Popis: |
Localized torrential rainfall events and related traffic problems are increasing in Japan, suggesting the need for a navigation-alert system to help drivers avoid such risks. Based on ongoing developments of weather radar systems for early detection of localized torrential rain and a cross-data collaboration platform for traffic optimization, in this study we tested the application of a route-guidance system that can help drivers avoid heavy rainfall. Participants were given equivalent levels of pre-training un the early detection of rainfall and the relationship between rainfall and accidents, then allowed to test a driving simulator set up with four alert methods, three route options, and four levels of possible risk avoidance. Using this system, the heavy rain avoidance rate was 85.63%, suggesting that such a system would be socially acceptable and useful, though further research is needed to refine the specific approach. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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