3D Road Network (North Jutland, Denmark)
Donated on 4/15/2013
3D road network with highly accurate elevation information (+-20cm) from Denmark used in eco-routing and fuel/Co2-estimation routing algorithms.
Dataset Characteristics
Sequential, Text
Subject Area
Computer Science
Associated Tasks
Regression, Clustering
Feature Type
Real
# Instances
434874
# Features
4
Dataset Information
Additional Information
This dataset was constructed by adding elevation information to a 2D road network in North Jutland, Denmark (covering a region of 185 x 135 km^2). Elevation values where extracted from a publicly available massive Laser Scan Point Cloud for Denmark (available at : http://download.kortforsyningen.dk/ (Bottom-most dataset)). This 3D road network was eventually used for benchmarking various fuel and CO2 estimation algorithms. This dataset can be used by any applications that require to know very accurate elevation information of a road network to perform more accurate routing for eco-routing, cyclist routes etc. For the data mining and machine learning community, this dataset can be used as 'ground-truth' validation in spatial mining techniques and satellite image processing. It has no class labels, but can be used in unsupervised learning and regression to guess some missing elevation information for some points on the road. The work was supported by the Reduction project that is funded by the European Comission as FP7-ICT-2011-7 STREP project number 288254.
Has Missing Values?
No
Variable Information
<OSM_ID,LONGITUDE,LATITUDE,ALTITUDE(mts)> 1. OSM_ID: OpenStreetMap ID for each road segment or edge in the graph. 2. LONGITUDE: Web Mercaptor (Google format) longitude 3. LATITUDE: Web Mercaptor (Google format) latitude 4. ALTITUDE: Height in meters. Note: OSM_ID is the ID assigned by OpenStreetMaps (http://www.openstreetmap.org/) to the road segments. Each (long,lat,altitude) point on a road segment (with unique OSM ID) is sorted in the same order as they appear on the road. So a 3D-polyline can be drawn by joining points of each row for each OSM_ID road segment.
Dataset Files
| File | Size |
|---|---|
| 3D_spatial_network.txt | 19.7 MB |
Reviews
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset 3d_road_network_north_jutland_denmark = fetch_ucirepo(id=246) # data (as pandas dataframes) X = 3d_road_network_north_jutland_denmark.data.features y = 3d_road_network_north_jutland_denmark.data.targets # metadata print(3d_road_network_north_jutland_denmark.metadata) # variable information print(3d_road_network_north_jutland_denmark.variables)
Kaul, M. (2013). 3D Road Network (North Jutland, Denmark) [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5GP51.
Creators
Manohar Kaul
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.