This study reviews emission estimation models that aim at providing realistic estimates of the emitted greenhouse gases from rail freight transportation. Five models are considered: two models from the MEET project, the ARTEMIS model, the EcoTransIT World model, and the Mesoscopic model. For each of the five models, this paper describes the estimation principles, methodology, and procedure, as well as relevant input parameters. An experimental study demonstrates the impact of train and trip specific parameters on each model’s emission estimate. Results are presented for varying values of a train’s number of wagons, the payload per wagon, the average speed, the trip distance, the number of stops, and the altitude profile along the route. In so doing, given a specific transportation scenario, the paper supports decision makers from industry and researchers to find and apply an appropriate emission estimation model for evaluating the eco-friendliness of rail freight transportation.

这项研究回顾了排放估算模型，旨在提供对铁路货运排放的温室气体的真实估算。考虑了五个模型：来自MEET项目的两个模型，ARTEMIS模型，EcoTransIT World模型和介观模型。对于这五个模型中的每个模型，本文都描述了估计原理，方法，过程以及相关的输入参数。实验研究证明了火车和旅行特定参数对每个模型排放估算的影响。给出了不同数量的结果，包括火车的货车数量，每辆货车的有效载荷，平均速度，行进距离，停靠点的数量以及沿路线的海拔高度。这样，在特定的运输场景下，