CANBUS J1939 data to model fuel consumption and carbon emissions of forwarder: a case study in the Italian Alps

This dataset supports an analysis of the factors influencing fuel consumption in timber haulage operations. The case study focuses on forwarder productivity in salvage logging in a mountainous area of Italy, examining assortment type, logging distance and payload.
Using Automatic Work-Element Detection (AWED), the dataset reports the working status of the machine at a frequency of 1Hz (driving empty, loading, driving loaded, unloading).

本数据集可为木材集运作业中燃油消耗影响因素的分析提供支撑。本次案例研究聚焦于意大利某山区救援性采伐作业中的集材机（forwarder）生产效率，分析指标涵盖材种类型、集材距离与有效载荷。
本数据集采用作业元素自动检测（Automatic Work-Element Detection, AWED）技术，以1Hz的频率记录设备的作业状态，具体包括空载行驶、装载作业、满载行驶与卸载作业四类工况。