Assessing a risk-avoidance navigation system based on localized torrential rain data

Abstract

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.

On Rain Information as Map Features for Car Navigation Systems

“…The authors discuss also the importance of finding the best way to communicate weather-related route changes to the users. Another study proposes the use of a route-guidance system to help drivers avoid heavy rainfalls (Ito, Sadanori and Koji, Zettsu, 2020). In this study, some participants were given a driving simulator to test four alert methods, three route options, and four levels of possible risk avoidance.…”