Skip to main content

Alan Turing Institute and Toyota to modernise traffic management

The UK’s Alan Turing Institute and the Toyota Mobility Foundation are partnering in an 18-month project which they say is intended to modernise traffic management. They will collaborate with data providers and government managers to look at the way cities could run in future. Potential outcomes include the integration of an artificial intelligence (AI) system for traffic control, a platform for interactive data manipulation to monitor traffic behaviour and developing mechanisms for fleet operators and ci
June 11, 2018 Read time: 2 mins
The UK’s Alan Turing Institute and the 1686 Toyota Mobility Foundation are partnering in an 18-month project which they say is intended to modernise traffic management. They will collaborate with data providers and government managers to look at the way cities could run in future.


Potential outcomes include the integration of an artificial intelligence (AI) system for traffic control, a platform for interactive data manipulation to monitor traffic behaviour and developing mechanisms for fleet operators and cities to work together.

The organisations say a data-driven traffic management system could improve air quality, reduce energy consumption and improve system capacity.

Under the agreement, researchers and software engineers from Turing and the universities of Cambridge and Manchester will work alongside mobility professionals from the Toyota Mobility Foundation.

Alan Wilson, Turing CEO and lead researcher, says the project will aim to provide city planners and operators with a system that includes real-time data feeds and lets them analyse how the city is working.

The system, he says, “integrates mathematical and computer modelling as well as machine learning models so that they can test out scenarios and gives them insight into when behaviour patterns are changing”.

UTC

Related Content

  • February 3, 2012
    Flexibility, interoperability is key to future traffic management
    Jon Taylor of Faber Maunsell and Tabatha Bailey of Transport for London describe how an unusual mix of traffic practitioners, researchers and industry are working together to build new tools for the future. As we face higher expectations for managing congestion from both citizens and politicians, and as more and more data is becoming available from new sources, our traffic management challenge is changing.
  • October 10, 2018
    The search for travel management's Holy Grail
    Combining accurate network estimates and forecasts with real-time information is the way to deal with traffic hot spots. Alan Dron looks at products which aim to achieve just that. Traffic management authorities have for years been trying to get ahead of the game. Instead of reacting to situations, they want to be able to head them off as they occur – or even before they happen. Finding that Holy Grail of successfully anticipating problems will save time, tension and tempers on city streets. Two new system
  • June 27, 2018
    An innovation lab – not a burden
    Travellers want to be able to book multimodal journeys easily – and to be informed of problems and alternatives as they go. Adam Roark might just be able to help, finds Ben Spencer. The global shift in transportation towards members of the public wanting access to multimodal journeys is rapidly changing how people pay and plan ahead. Buying tickets from a machine and dealing with the frustration of discovering your train is cancelled is a scenario commuters want to avoid through technology’s ability to
  • November 15, 2017
    TM 2.0 boost TMC data feed and driver influence
    TM 2.0 views connected vehicles and V2I as two-way communications channels, benefitting traffic management and drivers, as Alan Dron discovers. As connected vehicles are progressively rolled out there will come a point at which traffic managers and traffic management centres (TMCs) will have to gear up to cope with a rapidly-evolving road scenario. The TM 2.0 Platform (see box) is promoting a concept of new-generation traffic management (which carries the same TM 2.0 title) and is studying how future T