Dataset for simulation studies of fleet vehicle selection in terms of pollutant emissions

The purpose of this dataset is to enable the replication of the research results presented in the article: Szczepański E, Jachimowski R, Rudyk T. Simulation studies of fleet vehicle selection in terms of pollutant emissions. Combustion Engines. 2024;196(1):80-88. https://doi.org/10.19206/CE-169802 - published online: 2023-08-10, which discusses the application of simulation in solving the problem of vehicle selection and determining optimal approaches considering pollutant emissions. Dataset contains: Readme.txt: description of the dataset InputData.csv: contains the input data used in the model, including data from the COPERT model. OutputOptimization.csv: contains output data OutputSummary.xlsx: contains output data imulation_model_xml.fsx: contains the code of the model in XML format. The dataset was created as part of the E-Laas project (Energy optimal urban logistics As A Service).Project implemented as part of the call ERA-NET Cofund Urban Accessibility and Connectivity (ENUAC China Call) organized by JPI Urban Europe and the National Natural Science Foundation of China (NSFC). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 875022. E-Laas project is carried out in an international consortium. Project coordinator in Europe: Chalmers University of Technology (Sweden), project coordinator in China: Shanghai University (China), consortium members: Tsinghua University (China), Warsaw University of Technology (Poland), cooperation partners: Stockholms stad, Trafikkontoret (Sweden), ParkUnload (Spain), Metropolis GZM (Poland), Shanghai Urban-Rural Construction and Transportation Department (China), Volvo Group Trucks Technology and Operations (Sweden).- The Chinese part of the project is funded by National Natural Science Foundation of China.- The Swedish part of the project is funded by Swedish Energy Agency.- The Polish part of the project is funded by the National Science Centre, Poland (project no. 2022/04/Y/ST8/00134). The value of the co-financing is PLN 878,107.00. Project duration 27/04/2023 - 26/04/2026 (36 months).本数据集旨在复现下述论文的研究成果：Szczepański E、Jachimowski R、Rudyk T. 基于污染物排放的车队选型模拟研究. 燃烧发动机. 2024;196(1):80-88. https://doi.org/10.19206/CE-169802，在线发表日期：2023-08-10。该论文探讨了模拟方法在解决车队选型问题、确定兼顾污染物排放的最优方案中的应用。 本数据集包含以下文件： - Readme.txt：数据集说明文档 - InputData.csv：模型所用输入数据，涵盖COPERT模型（COPERT）相关数据 - OutputOptimization.csv：优化结果输出数据 - OutputSummary.xlsx：汇总结果输出数据 - Simulation_model_xml.fsx：包含XML格式的模型代码 本数据集作为E-Laas项目（能源优化型城市物流即服务，Energy optimal urban logistics As A Service）的一部分创建。该项目依托由JPI Urban Europe与中国国家自然科学基金委员会（National Natural Science Foundation of China, NSFC）组织的ERA-NET联合资助计划“城市可达性与连通性”（ENUAC中国专场）实施。本项目获得欧盟“地平线2020”研究与创新计划资助，资助协议编号为875022。 E-Laas项目由国际合作联盟实施：欧洲区项目协调方为瑞典查尔姆斯理工大学，中国区项目协调方为中国上海大学；联盟成员包括中国清华大学、波兰华沙理工大学；合作伙伴包括瑞典斯德哥尔摩市、瑞典交通管理局（Trafikkontoret）、西班牙ParkUnload公司、波兰GZM都会区、中国上海市城乡建设和交通委员会、瑞典沃尔沃集团卡车技术与运营部门。 项目分区域资助详情如下： - 中国区项目由中国国家自然科学基金委员会资助 - 瑞典区项目由瑞典能源署资助 - 波兰区项目由波兰国家科学中心资助（项目编号：2022/04/Y/ST8/00134），配套资助金额为878107.00波兰兹罗提。 项目执行周期为2023年4月27日至2026年4月26日，共计36个月。