Description
Predict likelihood of traffic accidents or queues and optimise traffic system to reduce the risk
Linked Case Studies
Case Study
Department for Transport
The Department for Transport aims to monitor UK roads for faster reaction to road incidents using deep learning
Case Study
Milton Keynes
Milton Keynes will attempt to ease congestion and detect traffic conditions using AI-enabled traffic lights
Case Study
Didi Chuxing
Didi to tackle traffic congestion and optimise navigation routes with deep learning
Case Study
Rapid Flow Technologies
Surtrac reduces intersection wait times by 40% and travel time by 25% on average by optimising traffic signals based on real-time data
Case Study
Santa Clara University
Santa Clara University improves pedestrian safety by automatically detecting approaching people and triggering a crosswalk signal
Case Study
Iowa Department of Transportation
Iowa Department of Transportation uses machine learning to monitor traffic flows during winter
Case Study
New Delhi Police
New Delhi Police plans to manage traffic in the city using camera sensors and machine learning