Whether it is the integration of software and sensors that is bringing us automated road vehicles, or the processing and analysis of amalgamated datasets to deliver new insights into travel behaviours, the importance of artificial intelligence, machine learning and robotics in the transport sector cannot be underestimated.

To capitalise on the opportunities posed by new technology, TRL has engaged in 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 and develop research initiatives for future transport needs.

The CSAIL Alliance Program offers unparalleled intelligence on advanced technology, access to thought leadership in emerging fields and broad recognition of TRL at one of the most dynamic and innovative research centres in the world. Through the membership, TRL will have access to the CSAIL – the largest research laboratory facility at MIT – as well as research groups spanning robotics, natural language processing, networks, databases, cryptography, web science and more. TRL staff 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: “Technology is advancing rapidly and is already driving dramatic changes within the transport industry. TRL’s role has always been to predict, understand and evaluate how such developments can deliver improvements in the safety, efficiency and cost-effectiveness of our transport systems. MIT’s CSAIL facility is world renowned for its research in the development and application of new technologies and joining the Alliance Program will help to ensure that TRL remains at the forefront of innovation in transport. We are looking forward to collaborating with CSAIL and partners in our ongoing programme of research surrounding automated transport systems and self-driving cars.”

TRL already has a growing portfolio of innovative research projects in the field of connected and automated transport, with notable projects including GATEway, MOVE_UK, and Atlas. The company has also created the UK Smart Mobility Living Lab @ Greenwich - a real world test environment for connected and automated vehicles. TRL is also active in the development of V2X cooperative systems, which may be crucial in realising the potential of automated vehicles. It’s also an active member in the iMobility Automation in Road Transport Working Group and the VRA project - a support action funded by the European Union.

 

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About CSAIL

The Computer Science and Artificial Intelligence Laboratory seeks to invent the future of computing and explore novel applications, enabling solutions to important national and global challenges. CSAIL articulates compelling interdisciplinary research visions for computing, invents fundamental new technologies, conducts basic research activities that strengthen the state of the art, and inspires and educates future generations of scientists, technology leaders, and the public. CSAIL is the largest research laboratory at MIT with over 1,000 members and 600+ students and more than 50 research groups working on hundreds of diverse projects. CSAIL researchers focus on discovering novel ways to make systems and machines smarter, easier to use, more secure, and more efficient. About the CSAIL Alliance Program The CSAIL Alliance Program (CAP) is a gateway into the lab for organisations seeking a closer connection to the work, researchers and students of CSAIL. Members are connected to the whole lab – all 50 research groups spanning robotics, natural language processing, networks, databases, cryptography, web science and more.

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