From Trimble OSM data above, I'm seeing some nice possibilities:
1. Bus routes - possibilities of creating living world traffic types in the correct places / Thousands of bus stops identified - for autogen placement
2. Thousands of instances of fence and hedge line data - for additional 3D autogen
3. Hundreds of waterway instances - could be used with FSET and SBX for highly accurate watermasks
4. Public transport points - accurate placement of bus stops
5. Hundreds of shops identified - for autogen building clsssification
6. Hundreds of campsites and hotels identified - for autogen building classification
7. Weirs sluices and waterfalls - for XML models?
8. Thousands of amenities identified ie pubs, telephones, postboxes, places of worship - for autogen placement
9. Hundreds of gates and cattlegrids identified- for autogen placement
10. Hundreds of historic points ie derelict chimneys, standing stones, abandoned mineworkings, wart memorials identified - for autogen placement
11. A hundred playgrounds identified - for autogen placement
12. Communications towers and lighthouses identified
Building classification should be made easier through use of the data above to select out various building types, for example, all buildings identified could call a specific autogen class, eg pubs, buildings outside generalised built up areas could be classed as farms, key buildings identified as schools etc. I'm building up a small but accurate database of land use data which will help determine building type
I was also imagining customising the building textures to actual localised building imagery for each 5km sq area? - for Cornwall that would be 100 variations alone...
Autogen vegetation could be identified through natural world Geofabrik and OS woodland data, supplemented by scenproc's detection facility?
Motorway, A, B and minor road data can determine different road traffic densities?