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Research project

Collecting and analysing traffic data through drone vision

Project overview

This project investigated the potential benefit of using Unmanned Aerial Vehicles (UAVs) equipped with Computer Vision software in the development of future Intelligent Transport Systems (ITS). In particular, a drone was used to collect traffic count and speed data at sites in Milton Keynes and Southampton and the concept of the virtual induction loop was developed.

Staff

Lead researcher

Professor John Preston

Professor in Rail Transport

Research interests

  • Demand, capacity and cost modelling for sustainable transport infrastructure.
  • The design, monitoring and evaluation of transport interventions designed to promote sustainable choices.
  • The determination of pathways for future mobility transitions to net zero carbon.
Connect with John

Email: J.M.Preston@soton.ac.uk

Other researchers

Dr Stephen Prior CEng, MIMechE

Readership in Unmanned Air Vehicles

Research interests

  • VTOL Aeronautics
  • Autonomous Uncrewed Systems
  • Aerial Robotics
Connect with Stephen

Email: S.D.Prior@soton.ac.uk

Professor Jonathon Hare BEng (Hons), PhD, FHEA, MIET

Professor

Research interests

  • My main research interests lie in the area of representation learning;
  • The long-term goal of my research is to innovate techniques that can allow machines to learn from and understand the information conveyed by data and use that information to fulfil the information needs of humans.  
Connect with Jonathon

Email: jsh2@ecs.soton.ac.uk

Collaborating research institutes, centres and groups

Transportation Group

Our research focuses on the interactions between behaviour, infrastructure and operations and how they translate into transport policy and practice.

Research outputs