STUDY ON URBAN INUNDATION FORECASTING REFLECTING AUTOMOBILE TRAFFIC CONGESTION AND A ROUTE SEARCH SYSTEM LINKED TO IT

Abstract

 In recent years, typhoons and fronts have caused frequent large-scale torrential rains, and localized torrential rains can cause damage before warnings are issued. In this study, the number of vehicles calculated from cross-sectional traffic volume was incorporated into S-uiPS, a sophisticated flooding prediction method, for the Shibaura Sewage Treatment District in the 23 wards of Tokyo, and flooding prediction calculations were conducted for an assumed maximum-scale rainfall event reflecting traffic congestion. As a result, it was found that the inundation depth increases on arterial roads and surrounding roads. In addition, a route search system that can avoid flooding from populated areas to hospitals in the same area was studied. By linking the system with inundation analysis, routes that are passable even during heavy rainfall were obtained, and shorter routes were obtained when the time increments were reduced.