Transport, Mobility and Cities

International

The International theme will draw together the Institutes research excellence across all of the other themes and transfer the technical advances into international contexts using the expert knowledge held within the Institute

The theme will target real world impact through international development funds and United Nations SDGs. The University of Nottingham (UoN) has strong links with both Malaysia and China through our campuses, but our International reach stretches across the globe. 

Capabilities

  • Drone Mapping
  • Mobility Modelling from Noevl Data Streams
  • Deep Learning and Computer Vision
  • Demographic Prediction

Read our TMC capability statement (PDF) to find out more

Theme Leads

Dr Xiaolin MengDr Xiaolin Meng

Nottingham Geospatial Institure, Faculty of Engineering

Dr James Goulding

Dr James Goulding

N/LAB, Business School

 
 

Collaborations

  • N/LAB - Centre for International Analytics
  • Nottingham Geospatial Institute
  • Laboratory for Urban Complexity and Sustainability
  • Computer Science
  • Horizon Digital Economy Research
  • Nottingham University Business School
  • Geography
 

 

 

Example Projects

Transport, Congestion and Pollution Modelling in Tanzania via CDR
Transport, Congestion and Pollution Modelling in Tanzania via CDR
 

Using Call Data Records from our Mobile Phone Network partners in Tanzania, UoN have created OD matrices and interfaces that reveal transport patterns throughout the year across Tanzania – data that was previously impossible to obtain, and additionally allows us to predict congestion and estimate pollution.

The models are currently being used by World Bank in their East Africa Transport Masterplan. 

Machine Learning for Automated Road Condition Analysis in Zanzibar
Machine Learning for Automated Road Conditions Analysis in Zanzibar
 

Traditional road surveys are both prohibitively expensive and logistically challenging in DAC listed countries. Applying cutting-edge “deep learning” techniques to drone imagery is allowing us to do automated road condition surveying at minimal cost.

In collaboration with UK Department for International Development (DfID), analysis is to be used by the Zanzibar Department of Roads to identify badly needed road development. 

Sino-UK Academy of Intelligent Mobility Forum
Sino-UK Academy of Intelligent Mobility Forum
 

A UK Science & Innovation Network project entitled ‘Building the Sino-UK Intelligent Mobility Partnership (IMP). The project to bring together IM practitioners, novel technologies, and intelligence and business models to enhance the implementation of intelligent mobility. 

Together, key experts from the UK and China formed the Sino-UK Academy of Intelligent Mobility (SUAIM), establishing a number of priority areas which the academy aims to address. 

 

 

Transport, Mobility and Cities

Faculty of Engineering
The University of Nottingham
Jubilee Campus
Nottingham, NG7 2RD


email: tmc@nottingham.ac.uk