Assessing commercial road vehicle fuel use at a high spatiotemporal resolution helps in understanding underlying usage patterns and informs future interventions toward fuel-efficient freight planning and operations. With the use of global navigation satellite systems in fleet tracking and advancements in driver activity surveys, instantaneous fuel consumption models can calculate fuel use in high resolution using inputs like speed and acceleration derived from GPS data. Given that several models exist, there is a need to compare fuel use estimates from different models, especially under the constraint of limited data for calibration. This study evaluates the accuracy of fuel use estimates from three fuel consumption models (COPERT 4, SIDRA TRIP, and MOVES) applied to 10 diesel commercial road vehicles in Singapore over a standardized drive cycle (NEDC) and real-world activity data derived from GPS traces using the method of space-time path segments and road grade obtained from a digital elevation model. Changes in model performance are examined when supplementary on-board diagnostics (OBD) data and payload information are used. The models gave varying fuel use estimates over the NEDC, especially for heavier vehicles in the sample. When applied to real-world data, SIDRA TRIP was found to be the most accurate for the context studied. SIDRA TRIP’s performance improved consistently when supplemented with OBD and payload information. This comparison approach allows analysts to select the most suitable model for a given context, and take steps toward more sustainable freight transportation.

以高时空分辨率评估商用道路车辆的燃油使用情况有助于理解潜在的使用模式，并为将来进行节油的货运计划和运营提供依据。通过在车队跟踪中使用全球导航卫星系统以及驾驶员活动调查的发展，瞬时油耗模型可以使用诸如GPS数据得出的速度和加速度之类的输入来以高分辨率计算油耗。假设存在几种模型，则需要比较来自不同模型的燃料使用估算，尤其是在用于校准的有限数据的约束下。这项研究通过三种燃油消耗模型（COPERT 4，SIDRA TRIP，和MOVES）应用于新加坡的10辆柴油商用公路车辆，采用的是标准行驶周期（NEDC），以及使用时空路径段和从数字高程模型获得的道路坡度的方法，从GPS跟踪获得的现实活动数据。使用补充的车载诊断（OBD）数据和有效载荷信息时，将检查模型性能的变化。这些模型在NEDC上给出了不同的燃料使用估计值，尤其是对于样本中的较重车辆而言。当将SIDRA TRIP应用于实际数据时，对于所研究的环境而言，它是最准确的。补充OBD和有效载荷信息后，SIDRA TRIP的性能将持续提高。这种比较方法使分析人员可以针对给定的环境选择最合适的模型，并采取措施实现更可持续的货运。