The aim of this study is to identify the important factors influencing overloading of commercial vehicles on Tehran’s urban roads. The weight information of commercial freight vehicles was collected using a pair of portable scales besides other information needed including driver information, vehicle features, load, and travel details by completing a questionnaire. The results showed that the highest probability of overloading is for construction loads. Further, the analysis of the results in the lorry type section shows that the least likely occurrence of overloading is among pickup truck drivers such that this likelihood within this group was one-third among Nissan and small truck drivers. Also, the results of modeling the type of route showed that the highest likelihood of overloading is for internal loads (origin and destination inside Tehran), and the least probability of overloading is for suburban trips (origin and destination outside of Tehran). Considering the type of load packing as a variable, the results of binary regression model analysis showed that the most probability of overloading occurs for packed (boxed) loads. Finally, it was concluded that drivers are 18 times more likely to commit overloading on weekends than on weekdays.

中文翻译：

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德黑兰市区道路卡车超载的数据挖掘方法

这项研究的目的是确定影响德黑兰城市道路上商用车辆超载的重要因素。商用货车的重量信息是通过一对便携式秤收集的，此外还需要通过填写问卷来获取其他信息，包括驾驶员信息，车辆功能，负载和行驶详细信息。结果表明，最大的超载概率是建筑荷载。此外，对卡车类型部分中结果的分析表明，超载发生的可能性最小，是皮卡车驾驶员，因此，在这一组中，这种可能性是日产和小型卡车驾驶员的三分之一。此外，对路线类型进行建模的结果表明，超载的最大可能性是内部负载（德黑兰内部的始发地和目的地），超载的可能性最小，是郊区旅行（德黑兰境外的出发地和目的地）。考虑到装箱的类型为变量，二元回归模型分析的结果表明，装箱（装箱）的货物发生过载的可能性最大。最后，得出的结论是，驾驶员在周末超载的可能性是工作日的18倍。