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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Interactive, GPU-Based Urban Growth Simulation For Agile Urban Policy Modelling

Authors:

Michel Kraemer, Andreas Kehlenbach

Published in:

 

(2013).ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang  European Council for Modeling and Simulation. doi:10.7148/2013

 

ISBN: 978-0-9564944-6-7

 

27th European Conference on Modelling and Simulation,

Aalesund, Norway, May 27th – 30th, 2013

 

Citation format:

Michel Kraemer, Andreas Kehlenbach (2013). Interactive, GPU-Based Urban Growth Simulation For Agile Urban Policy Modelling, ECMS 2013 Proceedings edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang, European Council for Modeling and Simulation. doi:10.7148/2013-0075

 

DOI:

http://dx.doi.org/10.7148/2013-0075

Abstract:

In this paper we present a novel approach of simulating urban growth by utilising the computation power of modern GPUs. The simulation results can be used in urban policy modelling to reduce turnaround times in the policy cycle. We use a state-of-the-art agent-based simulation model that consists of rules to describe human behaviour. The simulation incorporates geospatial information such as land-use, current population density and road network data. In order to simulate the phenomena of urbanisation, in our model citizens more likely settle near roads or existing settlements/cities. In this paper we present our implementation that is based on the FLAME GPU framework. Each agent on the GPU represents a group of citizens at a specific location. In order to evaluate our approach we present a practical use case. We measure the performance of our implementation and compare it with a Java-based solution. Finally, we discuss our approach and show opportunities for agile and interactive urban policy modelling

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