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[sumo-user] Scale-Dependent Edge Formation in netconvert with Different Bounding Boxes
  • From: Manohara C V <manohara.cv@xxxxxxxxxxxxxxxxxxx>
  • Date: Tue, 12 Aug 2025 14:22:21 +0000
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  • Thread-topic: Scale-Dependent Edge Formation in netconvert with Different Bounding Boxes

Dear SUMO Team,
I am experiencing inconsistent network topology generation when using netconvert with OSM data across different bounding box sizes. The same roads produce different edge structures depending on the area size.
Problem:
  • Small bounding box: Roads form as connected single edges (desired behavior)
  • Large bounding box: Same roads fragment into multiple short edges with many intermediate junctions (undesired behavior)
Test Bounding Boxes (osmget.py): 
  • large area - '77.288818359375,12.769113855469314,77.74200439453125,13.149194131932646'
  • small area - '77.56663933167825,13.005436732714667,77.56823663763048,13.005741560926017'

Issues like :- edge id "36777680#0" having forming differently 
Current netconvert command:
netconvert \ --osm-files input.osm \ --ramps.guess \ --junctions.join \ --junctions.scurve-stretch 1.0 \ --tls.guess-signals \ --tls.join \ --tls.uncontrolled-within \ --geometry.remove \ --output.street-names \ --output.original-names \ --keep-edges.by-vclass passenger \ -t typemap.xml \ --output-file output.net.xml
Attempted Solutions (all failed):
  1. Disabled all heuristics: --geometry.remove false --junctions.join false --ramps.guess false
  2. Used fixed thresholds: --junctions.join-dist 10
  3. Removed typemap completely
  4. Added --roundabouts.guess false and --edges.join false
Question: Why does netconvert produce different edge topologies for the same OSM roads when the bounding box size changes? Is there a scale-dependent algorithm that can be disabled to ensure consistent edge formation regardless of network area?
Expected Behavior: Identical road topology regardless of bounding box size - same OSM ways should always produce the same SUMO edge structure.
Environment:
  • SUMO Version: 1.23.1
  • OS: windows
  • Data Source: OpenStreetMap
Thank you for your assistance.
Best regards,
Manohar 

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