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

  • Orange County to manage traffic with trial interoperable CCTV
    September 12, 2014
    Interoperable CCTV can provide early warning of problems and help improve traffic management and incident response as Morteza Fahrtash and Carlos Ortiz explain. California’s transportation system is one of the state’s defining features and Caltrans (California Department of Transportation) strives to improving mobility across the state through the design, construction, operation and maintenance of the network of highway, freeways, toll roads and expressways.
  • The importance of going with the flow
    April 6, 2018
    Ensuring worker safety and up-to-date driver information is crucial to ensure that roadworks are not a source of danger and delay. Andrew Williams looks at a scheme on the A14 in Cambridgeshire, UK. In recent years, portable workzone ITS solutions have emerged as important tools in the management of major roadworks and system upgrade projects - and are viewed as an increasingly vital means of ensuring any ongoing traffic flow disruption is kept to a minimum. The technology forms a central component of an
  • Cubic and partners develop gateless technologies to speed passenger management
    September 15, 2016
    Cubic Transportation Systems (CTS) is to collaborate with a diverse team of industry and academic partners to develop a prototype that integrates future ticketing technologies to support a doubled rate of passenger throughput at fare gates in train stations. According to travel projections, the number of journeys for passenger rail is likely to double over the next 30 years. Cubic’s submitted proposal, Fastback Gateless Gate line, to the Railway Standards and Safety Board’s (RSSB) Future Ticketing Detec
  • After two decades of research, ITS is getting into its stride
    June 4, 2015
    Colin Sowman gets the global view on how ITS has shaped the way we travel today and what will shape the way we travel tomorrow. Over the past two decades the scope and spread of intelligent transport systems has grown and diversified to encompass all modes of travel while at the same time integrating and consolidating. Two decades ago the idea of detecting cyclists or pedestrians may have been considered impossible and why would you want to do that anyway? Today cyclists can account for a significant propor