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04 06 2018 02

The Alan Turing Institute and the Toyota Mobility Foundation are collaborating on a project to transform the way cities are planned and managed. The objective of this new project, ‘Optimising flow within mobility systems with AI’, part of the Turing’s new AI programme, is to transition complex traffic management from static systems into dynamic, optimized systems that are managed in real-time across many types of mobility.

The UN predicts that by 2030, urban areas are projected to house 60% of the world’s population. In addition to increasing population in metropolitan areas, cities themselves are changing. There is an increase in ride sharing platforms, changes in mode choices such as cycling, and same-day delivery fleets, dramatically affecting traffic patterns. While environmental standards are improving, congestion in urban environments needs to be managed to maintain our health in cities.

Managing traffic and optimising traffic signals, both vehicular and pedestrian, within cities has long relied on traditional modelling and forecasting. Real-time events, changing conditions, and evolving mobility patterns mean existing systems can no longer keep pace and adapt to new needs in urban environments.

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Tags: Mobility

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