Synthetic European road freight transport flow data based on ETISplus

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Please note that some of the edge paths specified in 01_Trucktrafficflow are listed from the destination to the origin (incorrect direction). We are currently reviewing a possible update.
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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).