# Map API-Based Evacuation Route Guidance System for Floods
###### Abstract  
Recently, human casualties and property damage caused by natural disasters have increased worldwide. Among these natural disasters, flood damage is affected by season. Depending on the concentration of precipitation in the summer, heavy rainfall can occur, thus resulting in typhoons, floods, and increased damage. To prevent such damages, the appropriate measures and research are being conducted in response to disasters. When a flash flood occurs, safe evacuation can be realized after detecting the situation and using announcements or laser indicators. However, these route guidance systems are typically used in fire or indoor environments, thus rendering them difficult to access outdoors. Therefore, we herein propose an evacuation route guidance system based on a map API that recognizes flood occurrences in forest areas, recreational forests, and parks. It calculates the route based on the map API and delivers the evacuation route to the nearest shelter to the user; and if there is a second problem on the moving evacuation route and it is difficult to proceed, the user's current location is identified and the route to the next nearest shelter is provided. This will help you to evacuate safely. water level prediction; meteorology data; flood; path detection; shortest distance +
Footnote †: journal:  
The number of climate-related disasters has increased significantly. Table 1 shows the total disaster events by type for the years 1980-1999 vs. 2000-2019. Based on years 2000-2019, among the disasters, flood caused the most damage. Meanwhile, based on Table 2, which shows the disaster impact for years 1980-1999 vs. 2000-2019, the number of casualties arising from disasters is higher in the period 2000-2019. Because these natural disasters are becoming more complex and human casualties are increasing, research [12; 13; 14; 15] is currently being conducted to develop evacuation systems that can minimize flood damage using ICT [16; 17; 18]. As for existing evacuation systems [19; 20; 21], researchers are currently attempting to develop evacuation systems using the shortest distance algorithm [22; 23; 24; 25]. However, if more accurate routes and search times can be displayed using a map API implemented based on these algorithms, then human casualties can be reduced by providing more accurate evacuation routes compared with using existing systems. To reduce damage caused by flood, flood routes must be predicted and provided [26; 27]. However, many variables must be considered in flood forecasting, and correlating them spatially and temporally is difficult, thus rendering forecasting challenging. For flood prediction, a hydrological model was conducted as a preliminary study based on the testbed data hydrology. The model physically represents the discharge flow according to the characteristics of the shuice gate. Flood forecasting models predict water levels and runoff. In this study, an evacuation system is proposed based on data analysis and a water-level prediction model implemented in a preliminary study [28]. When the results predicted by the flood prediction model are delivered to the evacuation system, it provides a route to the shelter within the user's GPS range and the shortest distance. Additionally, the shortest distance algorithm [29],