Pitt students track traffic on busy Oakland roadway in push for increased safety measures

Organizers say the purpose of the data-gathering watch party is to try to showcase the need for safer travel on the roadway ...
IEEE

Traffic Light Management Based on Vehicle Density using Deep Learning Approaches

Abstract: Traffic congestion wastes time, creates pollution, uses fuel, and stresses people. In crowded areas, conventional traffic control might not be effective. This paper offers a computer vision ...
INQUIRER.net USA on MSN

Top frameworks for Python web development in 2026

Ever thought what turns a good idea into a working application? The short and simple answer to this question is selecting the right framework. As Python has gained popularity among web development ...
Tech Xplore

Hybrid AI model combines graphs and transformers for real-time traffic forecasts

Urban congestion is a big problem in our cities. It leads to commuter delays and economic inefficiency. More tragically, though, it leads to a million deaths annually worldwide. Research appearing in ...
mlive

A Michigan traffic stop led to 19 immigration arrests. What’s happened since?

Two years later, documents obtained through the Freedom of Information Act give more details about how the traffic stop led to deportations.
IEEE

Smart Traffic Management Deep Reinforcement Learning for Signal Optimization Using SUMO

Abstract: Urban intersections face persistent challenges due to traffic congestion, which affects travel efficiency and increases delays. This study presents a Deep Reinforcement Learning (DRL)-based ...
University of Surrey

Multi-agent AI for software-defined traffic control in satellite networks

The specific focus of this PhD research project is on integration of non-terrestrial networks (NTN) (aka satellite communication networks) with terrestrial networks (TN) (5G/6G mobile networks). Fully ...