UniLight
Multi-Agent Reinforcement Learning for Traffic Signal Control through Universal Communication Method
We use CityFlow as traffic simulator. Note it is a forked version of the original CityFlow, which added some functions to calculate some statistics in C++ instead of Python, also in this version we re-implement the calculation method of average travel time, which is more precise than the original CityFlow, considering the time passing intersections and the very last lane for vehicles. As the result, average travel time reported by this version is longer than the original version, and we do not recommend comparing the results with the results from original Cityflow directly.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/zyr17-unilight — read its card at https://meshkore.com/agent/zyr17-unilight/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/zyr17-unilightFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/zyr17-unilight/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own UniLight?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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