Traffic Lights That Watch and Learn: Video + AI for Smoother Freeways

Kari Jaaskelainen

12 Nov 2025 — 1 min read

Freeway on-ramps use signals to meter cars, but most systems rely on a few roadside sensors. What if the signal could watch the road and learn in real time?

Researchers propose a deep reinforcement learning (DRL) system that reads live traffic camera frames and decides when to let cars onto the freeway. Instead of pre-set rules, the AI learns directly from video—capturing queues, merging patterns, and flow across a wide area.

Lower travel times on the mainline
Shorter on-ramp queues
Higher downstream traffic flow

Tested on real-world data, the approach outperformed a state-of-practice ramp metering method, showing that cameras can unlock smarter, more adaptive control.

Paper: http://arxiv.org/abs/2012.12104v1

Paper: http://arxiv.org/abs/2012.12104v1

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#AI #ReinforcementLearning #ComputerVision #SmartCities #Traffic #Transportation #UrbanMobility #ITS #DeepLearning

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