Simulations · SUMO 1.22.0

Dresden centre, seed 408

Synthetic random-trip demand, chosen so that the reference run clears; only 07:00 to 08:00 departures are scaled.

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Reference demand · scale 1.000 · seed 408

2825 / 2825 arrived by 09:00.

vehicles on the network (all)
sampled cars drawn
mean speed of sample, km/h
sampled cars below 2 km/h

Llama-scaled demand · scale 0.834 · seed 408

2370 / 2370 arrived by 09:00.

vehicles on the network (all)
sampled cars drawn
mean speed of sample, km/h
sampled cars below 2 km/h

moving, above 30 km/hslow, 2 to 30 km/hstopped, below 2 km/hbus

All demand variants

Demand variantSeedsValid model inputsscaleCohort cars per seedTime loss, completed trips (s)Elapsed, all scheduled cars (s)Unfinished, all seedsCompletion, minimumTeleports, all seedsCollisions, all seeds
Reference demand31.0002825-2825155.8514.30100.0%
Constant-only fallback30.8722456-2469153.2511.70100.0%
Gemma-scaled demand30.8722456-2469153.2511.70100.0%
Llama-scaled demand30.8342346-2370151.6509.80100.0%
GPT-OSS-scaled demand30.8722456-2469153.2511.70100.0%

Means over the seeds listed per variant. Time loss counts completed cohort trips only; elapsed time counts every scheduled car to its arrival or to the 09:00 horizon, so it does not hide unfinished trips.

Where these runs come from

Road network from OpenStreetMap (ODbL 1.0, via Overpass), netconvert; SUMO 1.22.0

15% of vehicles report their position every 30 s (SUMO floating-car output, geographic coordinates). time-to-teleport -1, ignore-junction-blocker 20, step 1 s, 06:30 to 09:00.

These are sensitivity runs on technical scenarios, not calibrated city forecasts. Every number on these pages comes from the recorded SUMO output; the site adds nothing.

Download the recorded positions (JSON)