14-05-2022, 03:20 PM
Aston University develops AI traffic lights in bid to cut queues
![[Image: _124721332_rainimp3.png]](https://ichef.bbci.co.uk/news/976/cpsprodpb/5B10/production/_124721332_rainimp3.png)
Traffic lights have been developed with artificial intelligence, which researchers say could significantly cut queues.
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The system, developed by Aston University, reads live camera footage and adapts the lights to compensate, keeping the traffic flowing.
Developers built a traffic simulator to train the program, teaching it to handle different scenarios.
They hope to begin testing on real roads later this year.
The system is capable of learning, researchers said, allowing it to try different approaches if queues start to build.
"We have set this up as a traffic control game. The program gets a 'reward' when it gets a car through a junction," Dr Maria Chli, reader in Computer Science at Aston University in Birmingham, explained.
"Every time a car has to wait or there's a jam, there's a negative reward.
"There's actually no input from us - we simply control the reward system."
Traffic lights have been developed with artificial intelligence, which researchers say could significantly cut queues.
Most สล็อต เล่น ฟรี pay back more than 90% of the money wagered by players. This is what you call a response to the players. And in a highly productive market.
The system, developed by Aston University, reads live camera footage and adapts the lights to compensate, keeping the traffic flowing.
Developers built a traffic simulator to train the program, teaching it to handle different scenarios.
They hope to begin testing on real roads later this year.
The system is capable of learning, researchers said, allowing it to try different approaches if queues start to build.
"We have set this up as a traffic control game. The program gets a 'reward' when it gets a car through a junction," Dr Maria Chli, reader in Computer Science at Aston University in Birmingham, explained.
"Every time a car has to wait or there's a jam, there's a negative reward.
"There's actually no input from us - we simply control the reward system."
