Reliability-Based Estimation of Traffic Interruption Probability due to Road Waterlogging

Abstract

Floods affect road infrastructure physically and operationally, increase road user costs and road agencies cost, and eventually isolate communities. The research of the effect of floods on vehicular circulation is mainly focused on the stability of vehicles. There are few studies related to the regime of still water in the trafficability. In still water, the speed flow is low and does not compromise the vehicle stability. In this case, the vehicle’s wading height becomes relevant. This article proposes a procedure to estimate the traffic interruption probability caused by floods in roads, considering the still water regime. The procedure uses the first-order reliability method to estimate traffic interruption probabilities, based on the difference between the probability density functions (PDF) of still water depth (or waterlogging depth) and vehicle wading height. A specific procedure to estimate the PDF of wading height based in the geometric characteristics of light and heavy vehicles was developed. The PDF for water depth was estimated using water level profile simulation software. The procedure was applied in the south of Chile. The PDF of wading height was obtained from a record of 166,155 vehicles tagged in open road tolls. The PDF of waterlogging depth was obtained from discharge records of 10 fluviometric stations. 42 probability curves were obtained for six vehicle classes and return periods between 4 and 500 years. The still water depth obtained for traffic interruption probability of 1,0 varied between 70 and 90 cm for light vehicles and between 110 and 150 cm for heavy vehicles.

Development of fragility curves for road embankments exposed to perpendicular debris flows

“…Also, when roads are placed parallel to or near river plains, embankments may be eroded by the flow. In addition to physical consequences of embankment damage, flows may temporally or permanently affect traffic and the level of service of a road, decreasing their operational capacity (Suweda 2016;Contreras-Jara et al 2018;Argyroudis et al 2019).…”

Estimating Flood Inundation Depth Along the Arterial Road Based on the Rainfall Intensity

“…The relationship between rainfall intensity and inundation depth can be either linear or nonlinear.Generally, a flood occurrence is caused by runoff discharge that is larger than the capacity of the channel [3,4]. One of the dynamic data that can be used as an input in runoff discharge analysis is the rainfall intensity [5,6]. That is, the higher the rainfall intensity, the larger the runoff discharge.…”

Sustainable and Resilient Transport Infrastructure

“…Authored by M. Contreras-Jara et al, [5] one paper proposes a procedure to estimate the traffic interruption probability caused by floods (still water regime) in roads. e procedure uses the first-order reliability method to estimate traffic interruption probabilities, based on the difference between the probability density functions of still water depth and vehicle wading height.…”