Researchers at South Korea’s Chung-Ang University Develop a ‘Meta-Reinforcement’ Machine Learning Algorithm for Traffic Lights to Improve Vehicle Throughput

Researchers from South Korea’s Chung-Ang University are experimenting using reinforcement learning (RL) algorithms to solve traffic signal control problems and reduce congestion. Recent advancements in artificial intelligence (AI) and machine learning have shown promise in optimizing traffic signal controls that can make driving in busy urban areas less frustrating.

Eric Walz2022-12-22 14:30 PT

Will Autonomous Cars Cause More Traffic in Urban Areas?

Self-driving cars are supposed reduce traffic, but a new study by the World Economic Forum and the Boston Consulting Group hints towards an increase in traffic with the mass adoption of driverless vehicles.

Vineeth Joel Patel2018-10-03 06:00 PT