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Smart transportation systemsIdea / feature2025-01-01SUMOETAGNNtraffic simulationSmartTransportation Lab

Web-based SUMO city simulation

A browser SUMO simulation of a city I built with SmartTransportation Lab, used mainly to validate a graph neural network for route-aware ETA against live trips and logged prediction error.

Still from Web-based SUMO city simulation

This is a web-based SUMO simulation of a city, hosted as the live demo at SmartTransportation Lab. You pick start and destination on the road network, watch vehicles move through the scene, and the tester logs each trip against a model’s ETA so error can be inspected while the simulation is running.

I used it mainly to validate a GNN for route-aware traffic graphs: the same microsimulation that generates labeled dynamic graphs also drives interactive trips, inference, and MAE / RMSE / MAPE on completed journeys. That evaluation loop is the web testing environment described in the NiDS 2026 paper Route-Aware Dynamic Traffic Graphs for ETA: Dataset Generation and Interactive Model Testing.

Related publication: /publications/nids-2026-route-aware-traffic-graphs

Live demo: https://smarttransportationlab.com/sim-demo