You can deploy this model and start earning money today!

tahamidhossain/
2dsumo

Name: 2dsumo
Availability: InStock

Views

No views yet

2D Dubai SUMO Simulation Dataset

Real traffic simulation of the Al Wasl / Dubai World Trade Centre corridor (approx. 25.202–25.228° N, 55.248–55.282° E).

Files

File	Description	Size
`dubai_al_wasl.osm`	Source OSM XML exported via Overpass API (65k+ elements)	6.3 MB
`dubai_al_wasl.net.xml`	SUMO road network (junctions, lanes, signals)	27 KB
`polygons.xml`	Building + water + commercial footprints	2.6 MB
`trips.trips.xml`	Randomized traffic demand (600 veh/h, seed=42)	55 KB
`routes.rou.xml`	Shortest-path routes assigned by duarouter	73 KB
`dubai_al_wasl.sumocfg`	SUMO configuration (entry point)	765 B

Usage

bash

# Install SUMO (Ubuntu)
sudo add-apt-repository -y ppa:sumo/stable
sudo apt-get update && sudo apt-get install -y sumo sumo-tools sumo-doc

# Headless
sumo -c dubai_al_wasl.sumocfg --no-warnings

# GUI
sumo-gui -c dubai_al_wasl.sumocfg

# Monitor Trackio dashboard
python3 scripts/monitor.py --project 2dsumo --run default
trackio show --project 2dsumo

Build pipeline

OSM (65k+ elements)
  ↓ curl + Overpass API + User-Agent header
  ↓ netconvert --osm.layer-elevation 5 --junctions.join --tls.default-type static
Net (_sumo/dubai_al_wasl.net.xml)
  ↓ polyconvert + osmPolyconvert.typ.xml
Polygons (_polyconvert/polygons.xml)
  ↓ python3 /usr/share/sumo/tools/randomTrips.py --seed 42 --period 6.0
Trips (_sumo/trips.trips.xml)
  ↓ duarouter --routing-algorithm astar --remove-loops
Routes (_sumo/routes.rou.xml)
  ↓
.sumocfg (entry point for sumo-gui)

Build details

Epoch range: 0 – 1800 s (30 minutes simulated, verified headless)
Seed: 42
Inter-departure period: 6.0 s (~600 veh/h)
Min trip distance: 80 m
Fringe factor: 5
Class mix (default): passenger, bus, motorcycle, truck
TLS strategy: Static, default-type set during --tls.default-type static in netconvert; individual phases inheriting SUMO defaults
Routing algorithm: A* (--routing-algorithm astar)

Source

Companion code, CI, docs: thtahamid/2dsumo

License

ODbL (from OpenStreetMap).

Generated by ML Intern

This model repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.

Try ML Intern: https://smolagents-ml-intern.hf.space
Source code: https://github.com/huggingface/ml-intern

tahamidhossain/2dsumo