Road Growth Modeling

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/177752
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Type: Examensarbete för masterexamen
Master Thesis
Title: Road Growth Modeling
Authors: Lodin, Johan
Abstract: Land development and infrastructure growth are two co-evolving processes. When studying long-term urban evolution it is useful to model both processes in parallel but co-dependently. The focus in this thesis is a novel road growth model that extends and adapts an existing land use model. The model transforms land use into interactions—a form of abstract traffic-like quantities—between every pair land lots. Each interaction needs to find a path from its start lot to its destination. If it is more efficient to extend the existing road network then a new road is suggested. Though each land lot pair acts independently when finding the path between the pair, a level co-operation occurs in the model as suggestions may add up. The model formulation turns out to have a scale-invariant property and a possible connection to the fractal-like structures of real road networks is explored. The model is open-ended with regards to the underlying geography, but makes several simplifications; only one type of traffic is considered, all roads have infinite capacity and equal speed limits, and travel time is approximated by ailabi-lity and Euclidean distance. Care has been taken to make the model implementable in a computer with a reasonable amount of working memory even when there are many land lots, at the cost of increased computing power. A large part of the model is however parallelizable and some ap- plicable time-saving techniques are recognized. A brief overview of relevant aspects of infrastructure in general—and road networks in particular—is also presented, giving a basis for model evaluation.
Keywords: Fysik;Physical Sciences
Issue Date: 2011
Publisher: Chalmers tekniska högskola / Institutionen för energi och miljö
Chalmers University of Technology / Department of Energy and Environment
URI: https://hdl.handle.net/20.500.12380/177752
Collection:Examensarbeten för masterexamen // Master Theses



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