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Fuzzy Logic Methodology for Accident Frequency Assessment in Hazardous Materials Transportation

机译:危险材料运输中的事故频率评估模糊逻辑方法

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The accident frequency is affected by numerous parameters describing the nature of the truck configuration, operation, environment, and road conditions, so the accident rate is different for different roads. In DPS accident database, various parameters that affect accident frequency are clearly recorded for every accident. Fuzzy TSK model is set up to get the basic accident rate under any condition for each road by considering every affecting parameter recorded in DPS accident database. Then fuzzy Mamdani model is applied to incorporate those parameters not included in DPS database. The overall modified accident number can then be divided by the shipment data to get the accident rate.
机译:事故频率受到众多参数的影响,描述了卡车配置,操作,环境和道路状况的性质,因此不同道路的事故率不同。在DPS事故数据库中,每次事故都清楚地记录了影响事故频率的各种参数。通过考虑在DPS事故数据库中记录的每个影响参数,建立模糊TSK模型以在每条道路的任何条件下获得基本事故率。然后应用模糊Mamdani模型,以将不包含在DPS数据库中的参数合并。然后,整体修改的事故号码可以通过装运数据划分以获得事故率。

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