SJ: Bus Trips Speeded Up By 20% With Ai-Powered Traffic Light Controls

Artificial intelligence is prioritizing green lights for San Jose's buses -- speeding them along their routes 20% faster, city officials say.
IEEE

Real-Time Traffic Management Using Cyber-Physical Systems and Machine Learning Techniques

Abstract: Traffic management in real-time is a very challenging issue, especially among cities, due to lagging congestion and delays. Some new proposals aimed at addressing this problem are ...

Philadelphia communities help AI machine learning get better at spotting gentrification

Over the last several decades, urban planners and municipalities have sought to identify and better manage the socioeconomic dynamics associated with rapid development in established neighborhoods.
IEEE

Efficient Traffic Light and Vehicle Coordination via Heterogeneous Attention Reinforcement Learning

Abstract: Coordinating traffic lights and vehicles in urban environments is essential for optimizing road traffic efficiency and reducing congestion. Traditional traffic control strategies, which ...