Comparative study on key OSM tags needed for a well-functioning automotive navigation
summary
Comparative testing in Budapest uses NNG’s OSM+ in iGO, Mapbox’s OSM-backed maps and OSMAND and concludes OpenStreetMap is viable for automotive navigation but only when specific tags are present and accurate. Field findings: house numbers and Latin transcriptions vary by country, POI name greatly affects search, road class needs conversion from highway=unclassified to true classes, surface=asphalt or paved/unpaved avoids surprise routes, vehicle access and one-way tags guide routing, lane markings and maxspeed or derived limits are crucial, and speed camera direction and traffic sign tags are often missing.
AI-written summary · about
chapters (11)
- 0:00Introduction
- 1:34The study
- 2:38User expectations
- 3:32Destination pattern
- 4:50POI
- 5:57Rules planning
- 7:42Restrictions
- 9:07Lane information
- 9:36Traffic signs
- 11:26Road announcements
- 12:06Summary
related talks
43mLocate all the things
20mOverview of different geo APIs
50m–Mom, can we have G**gle Maps? –We have G**gle Maps at home
16mSelf hosted GIS with open geo data - Real-world experience
19mLearning rules and detecting errors in OpenStreetMap data
41mWorking with the Map in Carsharing
37mProcessing Open Street Map Data with Python and PostgreSQL
08mOpen source in the location technology industry