Observed arrival · 2026-10-23
Green Light Lab puts you in charge of an intersection
This Korean interactive traffic lab lets participants run an intersection, write signal rules, and compare them with fixed-cycle, queue-priority, and Q-learning controllers.
○Open
⊠Login
$Paid
†Ads
✦Pretty
●Pro
◎Niche
◉Human
⚑Risk
ƒJS
- For
- Students exploring traffic signals and reinforcement learning
- Worth noticing
- Its waiting-cost formula adds a quadratic penalty, making prolonged waits count more than short ones.
Field notes
The simulation lists three traffic patterns, including a commute scenario with traffic concentrated in one direction, and keeps every run at 1× speed. Its instructions specify signal-change delays and count waiting vehicles that have not yet passed through the intersection. The page describes the model as a simplified teaching version, not a recreation of SUMO or the underlying research results.
Observed signals
Read the marks
Editorial observations of this landing page, not a rating.
○OpenPublic substance visible
$PaidCommerce or pricing visible
✦PrettyNotable craft visible
●ProPolished or operationally mature
◎NicheUnusually specific use
ƒJavaScriptBrowser-side code central
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