Abstract: Based on the mathematical model of heavy precipitation and waterlogging in Shijiazhuang city, 2, 5, 10, 30, 50, and 100 years for one hour of precipitation are selected to simulate the road waterlogging depth in Shijiazhuang city in 2017. The traffic flow and speed of the vehicle are used to characterize the vulnerability of the waterlogged carrier, and the GIS spatial analysis function is used to complete the risk assessment of road traffic caused by the heavy rainfall waterlogging disaster. The results show that with the increase of the hourly precipitation recurrence period, the area and depth of water accumulation on urban roads increase in varying degrees; Under the rainfall intensity of 2 years, 25.8% of the roads in the urban area have accumulated water, and the average accumulation of water. The water depth is 8.6 cm, and under a rainfall intensity of 100 years, the number of accumulated water grids exceeds 70%, and the accumulated water in the unit grid increases significantly, with an average accumulated water depth of 56.3 cm. The risk assessment of road waterlogging shows that the number of grids in the low-risk area is the highest at 30 years, and the number of grids in the middle-high-risk area increases with the recurrence period.

Key words: road traffic, urban waterlogging, risk assessment, scenario simulation