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Study on Fuzzy Neural Network Model of Vehicle-Bicycle Conflicts at GradeIntersection Based on Failure Tree Analysis

机译：基于故障树分析的平交路口车辆-自行车冲突的模糊神经网络模型研究

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摘要

The bicycle safety problems at urban grade intersection should be regarded in China.rnFirstly, according to the amount of conflicts and the degree of danger, thernvehicle-bicycle conflicts at a four-leg intersection are classified into 3 groups usingrnthe fuzzy clustering theory, and the interference between the through bicycles and thernright-turn vehicles in the adjacent lane is used as the case study. The failure treernmodel of bicycle traffic safety is built and the main reasons for vehicle-bicyclernconflict are explained from two aspects: the minimal cut set and the structuralrnimportance. Secondly, based on the failure tree analysis results, the fuzzy neuralrnnetwork model of vehicle-bicycle conflicts at grade intersections is built, the analysisrnresults show that the reasons causing bicycle traffic conflict at grade intersections canrnbe well analyzed and evaluated using the fuzzy neural network model.
机译：首先，根据冲突的数量和危险程度，运用模糊聚类理论将四腿交叉口的汽车—自行车冲突分为三类，案例研究中使用了相邻车道中的直通车与右转弯车辆之间的干扰。建立了自行车交通安全的故障树模型，从最小割集和结构重要性两个方面解释了自行车交通冲突的主要原因。其次，基于故障树分析结果，建立了平交路口车辆-自行车冲突的模糊神经网络模型，分析结果表明，利用模糊神经网络模型可以很好地分析和评价造成平交路口自行车交通冲突的原因。

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