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  • 标题:Assessing a risk-avoidance navigation system based on localized torrential rain data
  • 本地全文:下载
  • 作者:Sadanori Ito ; Zettsu Koji
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2020
  • 卷号:308
  • 页码:1-5
  • DOI:10.1051/matecconf/202030803006
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要: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.
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