The Alan Turing Institute and the Toyota Mobility Foundation have teamed up to transform the way cities are planned and managed, using artificial intelligence (AI). The project is known as “Optimizing flow within mobility systems with AI.”
With the change in mobility choices, including a higher usage of ride-sharing platforms and connected vehicles, urban congestion needs to be better managed. The joint project will focus on transitioning complex traffic management from static systems into dynamic, optimizing systems, and managing in real time across many different types of mobility.
“While there has been significant focus on AI inside the vehicle, we are excited to have the opportunity to work with the Alan Turing Institute to bring data science and AI to a complementing facet of mobility: Infrastructure. We believe mobility is critical to promoting societal progress and improving lives around the world, and this project represents an important step to improve the social good and help achieve harmony in mobility across all modes for all citizens,” said Ryan Klem, director of programs for the Toyota Mobility Foundation.
The 18-month project hopes to help urban planners as they prepare for the future and manage current conditions.
“Our vision is that city planners and operators should have a system that shows them real-time data feeds, lets them analyze how the city is working, integrates machine learning models so that they can test out scenarios and gives them insight into when behavior patterns are changing,” shared Alan Wilson, CEO of the Alan Turing Institute.
Potential outcomes include:
- Integrating an AI system for traffic lights/signals control;
- Building a platform for interactive data manipulation to monitor and predict traffic behavior, and to test planning scenarios; and
- Finding mechanisms for fleet operators and cities to work together, for example by sharing data about congestion or pollution hotspots, and rerouting around problems before they become serious.