Synthetic European road freight transport flow data based on ETISplus

This dataset describes estimated European truck traffic flows between 1,675 regions all over Europe and is based on the publicly available ETISplus project from 2010 (DOI: 10.13140/RG.2.2.16768.25605). The project collected Europe-wide freight volumes and calibrated the resulting origin-destination matrices with real world traffic flows. For the current dataset, the truck results of the ETISplus project were updated using current Eurostat data (https://ec.europa.eu/eurostat/web/transport/data/database). Additionally, a forecast was added for 2030. Using Dijkstra's algorithm, the freight flows were finally transferred to the European highway network. Therefore, the dataset provides a synthetically generated truck traffic volume for each road section.
The dataset can be a basis for developing, planning and sizing future road infrastructure, such as charging infrastructure for electric trucks.
The dataset consists of four files: 01_Trucktrafficflow, 02_NUTS-3-Regions, 03_network-nodes, 04_network-edges. All of them are stored as comma separated values with commas as column separators and dots as decimal separators. The main dataset 01_Trucktrafficflow describes 1,514,573 directed transport flows in fifteen columns: (1) ID origin region, (2) name origin region, (3) ID destination region, (4) name destination region, (5) shortest path in the modeled E-road network, (6) distance from origin region to the E-road network, (7) distance within the E-road network, (8) distance from the E-road network to the destination region, (9) total distance, (10) road freight flow in tons for 2010, (11) road freight flow in tons for 2019, (12) road freight flow in tons for 2030, (13) truck traffic flow in number of vehicles for 2010, (14) truck traffic flow in number of vehicles for 2019, (15) truck traffic flow in number of vehicles for 2030.
02_NUTS-3-Regions contains a list with the regions under investigation.
03_network-nodes and 04_network-edges illustrate the highway network. The first contains the following information on each network node as columns: (1) node ID, (2) longitude of the location, (3) latitude of the location, (4) ID of the corresponding NUTS-3 region, (5) country code. The second contains information on the edges: (1) edge ID, (2) information whether the edge is manually added or part of the original ETISplus dataset, (3) length of the edge, (4) ID endpoint A, (5) ID endpoint B, (6) number of trucks in 2019 (both directions), (7) number of trucks in 2030 (both directions).

本数据集详述了欧洲范围内1,675个区域的估计卡车交通流量，并基于2010年公开可用的ETISplus项目（DOI：10.13140/RG.2.2.16768.25605）编制而成。该项目收集了欧洲范围内的货运量，并通过实际交通流量对生成的源-目的地矩阵进行校准。针对当前数据集，ETISplus项目的卡车结果利用了当前的欧洲统计局数据（https://ec.europa.eu/eurostat/web/transport/data/database）进行了更新。此外，还添加了2030年的预测数据。最终，通过迪杰斯特拉算法（Dijkstra's algorithm），货运流量被转换至欧洲高速公路网络。因此，该数据集为每一段道路提供了合成生成的卡车交通量。该数据集可作为开发、规划和调整未来道路基础设施，如电动卡车充电基础设施的依据。数据集包含四个文件：01_Trucktrafficflow、02_NUTS-3-Regions、03_network-nodes、04_network-edges。所有文件均以逗号分隔值（CSV）格式存储，以逗号为列分隔符，以点为小数分隔符。主要数据集01_Trucktrafficflow描述了1,514,573个有向运输流量，包含十五列信息：（1）源地区域ID，（2）源地区域名称，（3）目的地地区域ID，（4）目的地地区域名称，（5）E路网络中的最短路径，（6）源地区域至E路网络的距离，（7）E路网络内的距离，（8）E路网络至目的地地区的距离，（9）总距离，（10）2010年的道路货运流量（吨数），（11）2019年的道路货运流量（吨数），（12）2030年的道路货运流量（吨数），（13）2010年的卡车交通流量（车辆数），（14）2019年的卡车交通流量（车辆数），（15）2030年的卡车交通流量（车辆数）。02_NUTS-3-Regions包含调查地区的列表。03_network-nodes和04_network-edges展示了高速公路网络。前者包含每个网络节点的以下信息：节点ID、位置经度、位置纬度、对应的NUTS-3地区ID、国家代码。后者包含关于边的信息：边ID、边是否为手动添加或原始ETISplus数据集的一部分、边长、端点A ID、端点B ID、2019年双向车辆数、2030年双向车辆数。