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...
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: | |
Online Access: | https://www.mdpi.com/2220-9964/9/11/638 |
Similar Items
-
Exploring Data Model Relations in OpenStreetMap
by: Hippolyte Pruvost, et al.
Published: (2017-10-01) -
Temporal Analysis on Contribution Inequality in OpenStreetMap: A Comparative Study for Four Countries
by: Anran Yang, et al.
Published: (2016-01-01) -
Analyzing the Tagging Quality of the Spanish OpenStreetMap
by: Jesús M. Almendros-Jiménez, et al.
Published: (2018-08-01) -
Towards Automatic Vandalism Detection in OpenStreetMap
by: Alexander Zipf, et al.
Published: (2012-11-01) -
Characteristics of Heavily Edited Objects in OpenStreetMap
by: Peter Mooney, et al.
Published: (2012-03-01)