| Thesis through countless document investigation and on-site investigation, research and analysis, knot and expert consultation and the relevant local transportation construction development needs. Refining road flood risk connotation, using disaster principles, select road flood risk evaluation index from disaster causer, disaster producing environment, disaster shoulder, disaster situation. Though the analysis of road flood risk component elements, establish the system to complete the assessment of road flood risk index system from three aspects of road flood danger ,vulnerability and disaster situation. Thesis selected 3 criterion layer, a total of 16 evaluation indexes to establish a scientific, reasonable and feasible value of road flood risk evaluation system. Thesis calculated the important degree of evaluation indexes based on the Analytic Hierarchy Process(AHP) to determining the relative weights of different indicators.Thesis use GIS software to draw single elements of thematic maps for different evaluation factors, formed road flood risk zoning map of single elements, with ARCGIS powerful geographic analysis, spatial processing and mapping functions, the basic data of road flood risk is digital processed and risk information of the unit in the survey area is extracted. Based on the theory of fuzzy mathematics and matter-element extension, take correlation function from method of matter-element extension analysis to fuzzy comprehensive evaluation to change subordinate degree of fuzzy evaluation, constructed multi-object fuzzy- matter element road flood risk assessment model based on ARCGIS, and the final road flood risk assessment results are expressed with score computed by this way. Being compared with qualitative analysis of the traditional, the qualitative and quantitative method mentioned in the paper improve objectivity, scientific nature and enhanced the mathematical logic.In this paper, system and model are used in evaluating road flood risk of Wanzhou area in Chongqing , getting the road flood risk level of the whole 41 towns. Risk level are divided into four grades of highest road flood risk area, high road flood risk area, medium road flood risk area, low road flood risk area, each in terms of their areas of 737.39km~2 in Xiongjia etc (a total of eight towns), 2077.23km~2 in Xiaozhou etc (a total of 23 towns), 564.80km~2 in Huangbai etc (a total of 8 towns), 77.57km~2 in Xikou etc (a total of 2 towns), percentage of 21.33%, 60.09%, 16.34%, 2.24%. Evaluation results match the actual, effect is good. This system and the model also applies to other road flood risk assessment. The conclusion can provide reliable information of potential losses for road flood, guide loss assessment for different level road under the flood, government decision-making, develop road disaster prevention standards. |