Machine Learning Framework for the Estimation of Average Speed in Rural Road Networks with OpenStreetMap Data

Machine Learning Framework for the Estimation of Average Speed in Rural Road Networks with OpenStreetMap Data

Average speed information, which is essential for routing applications, is often missing in the freely available OpenStreetMap (OSM) road network. In this contribution, we propose an estimation framework, including different machine learning (ML) models that estimate rural roads’ average speed based...

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Bibliographic Details
Main Authors: Sina Keller, Raoul Gabriel, Johanna Guth
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:ISPRS International Journal of Geo-Information
Subjects:
machine learning
regression
OpenStreetMap
volunteered geographical information
supervised learning
unsupervised learning
Online Access:https://www.mdpi.com/2220-9964/9/11/638

Internet

https://www.mdpi.com/2220-9964/9/11/638

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