To optimally plan/design freight-related infrastructures, it is crucial to understand the activities of freight-related traffic. This paper proposes a statistical approach to estimate truck activities and freight analytics from Global Positioning System (GPS) data of trucks. Commodities carried are also determined by the locations and types of truck stops. With the estimated activities and commodities carried, the characteristics of trip chains for different commodities are then determined and analysed. An empirical example from Thailand is adopted to illustrate the proposed approaches in estimating activities, activity patterns, commodity trip chains and status of trips legs from the collected truck GPS data.

为了最佳地计划/设计与货运相关的基础架构，了解与货运相关的交通活动至关重要。本文提出了一种统计方法，可以根据卡车的全球定位系统（GPS）数据估算卡车的活动和货运分析。运载的商品还取决于卡车停靠站的位置和类型。利用估计的活动和携带的商品，然后确定并分析不同商品的旅行链的特征。以泰国为例，从收集到的卡车GPS数据中估算出活动，活动模式，商品行程链和行程腿状态的建议方法。