Skip to main content

TRL joins MIT CSAIL Alliance Program

To capitalise on the opportunities posed by new technology, the UK’s Transport Research Laboratory (TRL) has formed a strategic alliance with the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). Joining organisations such as Apple, Google, BP, Intel, BT and BAE Systems as a member of the CSAIL Alliance Program, TRL will work closely with MIT to enhance its existing knowledge and capabilities in the areas of artificial intelligence, robotics
July 27, 2016 Read time: 2 mins
To capitalise on the opportunities posed by new technology, the UK’s Transport Research Laboratory (491 TRL) has formed a strategic alliance with the Computer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology (MIT). Joining organisations such as Apple, Google, BP, Intel, BT and BAE Systems as a member of the CSAIL Alliance Program, TRL will work closely with MIT to enhance its existing knowledge and capabilities in the areas of artificial intelligence, robotics and machine learning, as well as developing research initiatives for future transport needs.

The CSAIL Alliance Program offers intelligence on advanced technology, access to thought leadership in emerging fields and broad recognition of TRL as one of the major research centres in the world. Membership will provide TRL with access to the largest research laboratory facility at MIT, as well as research groups spanning robotics, natural language processing, networks, databases, cryptography, web science and more. The TRL team will also be able to engage with leading researchers in the fields of artificial intelligence and robotics technologies, identifying opportunities to collaborate to improve knowledge and accelerate development in this area.

Speaking about the decision to join the CSAIL Alliance Program, TRL Academy director, Professor Nick Reed said that joining the Alliance Programme will help to ensure that TRL remains at the forefront of innovation in transport.

For more information on companies in this article

Related Content

  • New chairman and fresh thinking at Ertico
    October 6, 2015
    Cees de Wijs, who was elected Chairman of Ertico ITS Europe in June, puts the Partnership and this ITS World Congress in context.
  • New US DOT committee to shape the future of automated transportation
    October 20, 2016
    The US Department of Transportation (US DOT) is seeking innovators and experts to join a cross-modal committee to shape the future of automated transportation technologies. Transportation Secretary Anthony Foxx has announced the establishment of an Advisory Committee on Automation in Transportation (ACAT), which will serve as a critical resource for the Department in framing federal policy for the continued development and deployment of automated transportation. Members of the committee will assess th
  • New ANPR solutions overcome variables
    May 18, 2018
    The sheer range of variables makes it difficult to find a single algorithm to ensure a 100% standard of ANPR. David Crawford investigates new processing technology. Automatic number plate recognition (ANPR), using optical character recognition and image-processing to identify vehicles, plays key roles in traffic monitoring and law enforcement, access and parking control, electronic toll collection, vehicle security and crime deterrence. Overall, system performance is well rated, with high levels of
  • UK consortium awarded funding to develop autonomous vehicles
    April 24, 2017
    The StreetWise consortium, headed by UK artificial intelligence (AI) and machine learning (ML), start-up has been awarded US$16.4 million (£12.8 million) in grant support for its US$29.5 million (£23 million) project. Awarded as part of the UK government’s Centre for Connected and Autonomous Vehicles CAV2 competition, the grant will enable the consortium to develop and demonstrate autonomous transport in London, with the aim of launching a supervised trial of an autonomous vehicle fleet in the third quarter