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Traffic Simulation Python Packages

Python packages with the GitHub topic traffic-simulation. Sorted by monthly downloads, with stars and forks.
toruseo
uxsim

Vehicular traffic flow simulator in road network for Python

4K 257 118
xyluo25
utdf2gmns

utdf2gmns makes Synchro traffic data easier to use and share. It converts UTDF files into GMNS, SUMO, and other interoperable formats, helping researchers and practitioners move efficiently from signal-timing data to network analysis and traffic simulation.

1K 1 1
COeXISTENCE-PROJECT
routerl-nightly

RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.

977 42 13
deedy5
fake-traffic

Internet traffic generator. Utilizes real-time google search trends by specified parameters.

750 24 6
mw-jeong
agentsumo-mcp

AgentSUMO: An Agentic Framework for Interactive Simulation Scenario Generation in SUMO via Large Language Models

554 11 3
ORNL-Real-Sim
realtwin

ORNL’s Real-Twin project is a streamlined scenario generation tool that automatically integrates real-world traffic data to create high-fidelity digital twins for simulating the impacts of connected and automated vehicles in microsimulation environments.

413 13 3
avitai
diffav

Physics-informed, RL-aligned evaluation engine for autonomous driving: JAX/Flax NNX trajectory-diffusion world models on the Waymo Open Dataset, DPO and reward-guided adversarial steering toward the scenarios that break AV stacks, physics feasibility, occupancy flow, WOSAC-style realism metrics and sensor simulation.

413 1 0
toruseo
unsim

Traffic simulation with Autodiff

266 15 5
LdDl
micro-traffic-sim

gRPC server for MicroTrafficSim

254 2 0
COeXISTENCE-PROJECT
routerl

RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.

203 42 13
LdDl
macro-traffic-sim

gRPC server for MacroTrafficSim

199 0 0
COeXISTENCE-PROJECT
routerlurb

RouteRL is a multi-agent reinforcement learning framework for modeling and simulating the collective route choices of humans and autonomous vehicles.

159 42 13
asu-trans-ai-lab
gui4gmns

AI-guided, offline-capable dashboards for GMNS traffic networks (DTALite / TAPLite / Dynamic ODME / DLSim): GMNS run folder in, one self-contained dashboard.html out. Cross-platform successor to the NEXTA GUI.

97 1 0
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