Image mining of stochastic road networks at different scales

Description of research:

In urban studies, traffic links between roads are a severe source of air contamination, in particular with fine dust. The increasing quality of remote sensing images, has emphasized the need for automatic techniques. The project aims at combining information from different sources: a series of images at various spatial scales, traffic network data and plume models to predict the behavior of contaminated air in relation with prevailing weather conditions. Possibilities to steer traffic using traffic tax will be explored. Relevant quantitative information will be communicated to inform the government at different levels. The study will focus on two industrial and urban areas, one in India and one in the Netherlands.

 

Advisor(s)

Prof. dr. Richard J. Boucherie (University of Twente, Stochastic Operations Research)

Duration

November 2010 – October 2014

Project

Stochastic Image mining

Funding institution

CTIT - ITC

Strategic Research Orientation

Industrial Engineering & ICT

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