• Bee-inspired Drones for 3d Printing in Construction
  • Computation Modelling of Scalable Cellular Composites
  • Computational Modelling of Spacecraft Electric Propulsion
  • All-electric Commuter Aircraft Concept

Welcome to The Centre for Intelligent Transport

The Centre for Intelligent Transport (CIT) combines complementary strengths in Mechanical and Aeronautical Engineering, Power Systems, Robotics and AI, Digital Design and Manufacturing, and Advanced Materials to drive future transport and mobility technologies that better our world.

The Centre takes pride in being particularly strong in merging world-leading theoretical research with applied, industry-oriented experimental work, creating systems and software tools with high market potential and benefit for society. Our mission is to conduct research of the utmost excellence and to translate it into products with wide and beneficial applications, in close collaboration with industry, international universities and governmental bodies.

Research within the Centre focuses on various scientific and engineering problems relevant to future transport systems and spans from Green Propulsion, Robotics, and Autonomous vehicles to Future Mobility with Environmental and Climate technologies, such as those which help reduce aircraft noise and emissions. We also carry out extensive research in Advanced Materials and Manufacturing for Future Transport.

A cross-cutting theme, which is relevant for many our applications is Data Centric Systems Engineering, which includes Numerical Methods and Simulation and AI. Our research has been supported by EPSRC, EU, Innovate UK,  BEIS, Royal Academy of Engineering, and other agencies and companies. 

Staff within the Centre for Intelligent Transport are active in delivering research-informed education for our undergraduate and postgraduate students in these broad areas.

News

Recent Publications

  • Guan W, Chen C, Pan X, Zhao R, Xufei L, Tao H, Songzhe X, Xuan W, Panwisawas C, Lei L, Wang J and Ren Z (2024). On the control of epitaxial growth and stray grains during laser-directed energy deposited Ni-based single crystal superalloy. Materials Characterization, Elsevier, 113969-113969.  
    12-05-2024
  • Gochenaur DC, Williams RD, Sabnis K and Babinsky H (2024). Mach 3.5 Compression Corner Control Using Microvortex Generators. AIAA Journal, American Institute of Aeronautics and Astronautics (AIAA) vol. 62 (5), 1731-1743.  
    01-05-2024
  • Aliyu AAA, Puncreobutr C, Kuimalee S, Phetrattanarangsi T, Boonchuduang T, Taweekitikul P, Panwisawas C, Shinjo J and Lohwongwatana B (2024). Laser-inherent porosity defects in additively manufactured Ti-6Al-4V implant: Formation, distribution, and effect on fatigue performance. Journal of Materials Research and Technology, Elsevier vol. 30, 5121-5132.  
    24-04-2024

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