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Eco-friendly Road Transportation

Primary supervisor

Aamir Cheema

Research area

Data Engineering

This project aims to harness big data from ubiquitous smartphone sensors to reduce the impact of road transport on the environment. Specifically, we’ll design novel data modelling and indexing techniques to exploit the data and create a next-generation, eco-friendly navigation system which will significantly reduce greenhouse gas emissions and result in fuel saving. The initiative also aims to study the citywide impact of adapting to eco-friendly navigation on traffic, environment and road safety – therefore supporting urban planning and decision-making.

Required knowledge


  • First class Honors or Masters degree including substantial research project, GPA 80%+ from a reputed university
  • Refereed publications including journal or conference of high repute


  • Background in Machine Learning, Algorithms and Data Structures

Project funding


Learn more about minimum entry requirements.