Journal of Advanced Transportation
Manuel Contreras-Jara, 1; Tomás Echaveguren, 1,2; José Vargas Baecheler, 1; Alondra Chamorro Giné, 2,3; and Hernán de Solminihac Tampier, 3,4
1 Laboratory of Transportation Systems Management (GESITRAN), Departamento de Ingeniería Civil, Facultad de Ingeniería, Universidad de Concepcion, Edmundo Larenas 219, Concepción, Chile
2 National Research Center for Integrated Natural Disaster Management (CIGIDEN), CONICYT/FONDAP/15110017, Avda. Vicuña Mackenna 4860, Santiago, Chile
3 Department of Construction Engineering and Management, School of Engineering, Pontifcia Universidad Catolica de Chile, Avda. Vicuña Mackenna 4860, Santiago, Chile
4 Latin American Center of Economic and Social Policies (CLAPES UC), Avda. Libertador Bernardo O’Higgins 440, Piso 13, Santiago, Chile
Floods afect road infrastructure physically and operationally, increase road user costs and road agencies cost, and eventually isolate communities. The research of the effect of foods on vehicular circulation is mainly focused on the stability of vehicles. There are few studies related to the regime of still water in the trafcability. In still water, the speed fow 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 foods 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 specifc procedure to estimate the PDF of wading heigh based in the geometric characteristics of light and heavy vehicles was developed. The PDF for water depth was estimated using water level profle simulation sofware. 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 fuviometric 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.