A GIS-based approach to automating the collection of geospatial road network data

El Said M. Zahran, Lloyd D. Bennett, Martin J. Smith

Research output: Journal PublicationArticlepeer-review

4 Citations (Scopus)


Air pollution dispersion models require the geospatial data of modelled road network centrelines, in order to model the spatial dispersion of traffic air pollution emissions. This data represents the geographical coordinates of the centreline vertices of the road network in the air pollution model application area. The manual collection of this data is labour-intensive and prone to human errors particularly in the case of dense road networks. Some well-developed air pollution models allow the digitisation of modelled road network centrelines on a digital map. However, this proved to be a laborious process due to the large number of roads, the constraints of air pollution models on distance between consecutive road centreline vertices, and the digitisation limitations of the link between these models and GIS systems. Using a specific area with a dense road network in the UK city of Nottingham as a case study, research has been undertaken to develop, and implement by computer programming, computer algorithms to automate the collection and processing of geospatial road network data without any digitisation. This also introduced quantitatively the concept of 'Level of Details' (LOD) of modelled road networks to the science of air pollution dispersion modelling.

Original languageEnglish
Pages (from-to)295-299
Number of pages5
JournalTraffic Engineering and Control
Issue number7
Publication statusPublished - Jul 2011
Externally publishedYes

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Civil and Structural Engineering
  • Transportation
  • Control and Optimization


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