The dataset contains observations of vehicles in the range of edge nodes (cellular towers). The trajectories of vehicles are synthetically generated with SUMO. The cellular tower positions have been taken from OpenCelliD. The dataset is in the comma-separated values (CSV) format, and is around 220MB decompressed. The CSV contains the following fields: * edge_id: unique identifier of the edge devices * edge_lat: latitude coordinate of the edge device * edge_lon: longitude coordinate of the edge device * time: simulation step of the observation * vehicle_id: unique identifier of the vehicle * vehicle_lat: latitude coordinate of the vehicle * vehicle_lon: longitude coordinate of the vehicle * distance: geodesic distance in meters from the vehicle and the edge device
DATA7: A dataset that uses synthetic trajectories of vehicles and real cellular tower locations to simulate the workload of Edge nodes in the city of Pisa
Patrizio Dazzi;Luca Ferrucci;
2023-01-01
Abstract
The dataset contains observations of vehicles in the range of edge nodes (cellular towers). The trajectories of vehicles are synthetically generated with SUMO. The cellular tower positions have been taken from OpenCelliD. The dataset is in the comma-separated values (CSV) format, and is around 220MB decompressed. The CSV contains the following fields: * edge_id: unique identifier of the edge devices * edge_lat: latitude coordinate of the edge device * edge_lon: longitude coordinate of the edge device * time: simulation step of the observation * vehicle_id: unique identifier of the vehicle * vehicle_lat: latitude coordinate of the vehicle * vehicle_lon: longitude coordinate of the vehicle * distance: geodesic distance in meters from the vehicle and the edge deviceI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.