AI Case Study
Didi to tackle traffic congestion and optimise navigation routes with deep learning
Didi has leveraged artificial intelligence to develop a city traffic management system. The company, whose AI research labs are working on deep learning, natural language processing and machine vision, has launched the Smart Transportation Brain to combine video and sensor data from its vehicles and the government for traffic congestion and navigation optimisation.
The company aims to facilitate the development of smart traffic lights and monitoring systems to alleviate road congestion.
"In the quest to solve the world’s transportation challenges with smart traffic innovation, Didi has three artificial intelligence research centers, one in Silicon Valley and two in Beijing where research is done on natural language processing, computer vision and deep learning.
With the tremendous amount of data Didi collects every day, they are in a unique position to tackle traffic congestion and optimize navigation routes with AI technology. They launched the Didi Smart Transportation Brain that combines video camera and sensor data from Didi’s cars with data from the government and other partners. The objective is to create a city traffic management system powered by AI and cloud technology. The idea is that this will ultimately result in smart traffic lights and monitoring systems that can be used in any metropolis with road congestion."
"In China, the company has 550 million registered customers in more than 400 cities and delivers 30 million rides per day but its reach extends to Australia, Brazil, Japan and Mexico as well as Southeast Asia, India, Europe and Africa through various partnerships.
Didi employs 7,000 people, nearly half who are engineers and data scientists, and they continue to recruit other tech professionals to support its artificial intelligence labs, autonomous vehicles and other tech operations."
Didi Smart Transportation Brain objective is that it "will ultimately result in smart traffic lights and monitoring systems that can be used in any metropolis with road congestion."
"video camera and sensor data from Didi’s cars with data from the government and other partners. "