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The latest information and communications technology has enabled flood modelling in urban areas using high quality terrain data to simulate the detailed flow dynamics in local areas.
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The integration of aerial oblique imagery with terrestrial imagery offers promising opportunities to optimize 3D modeling in urban areas.
The results indicate that the proposed approach effectively integrates images from the two platforms and thereby improves 3D modeling in urban areas.
Multiple studies have modeled congestion in urban areas and assigned economic values to the excess fuel consumption and time wasted in traffic, concluding that congestion leads to annual economic burdens ranging from $83 billion [ 1] to $124 billion [ 2].
A simulation example based on a bidirectional wideband channel model in urban environments illustrates the usefulness of the simulator.
Furthermore, the integration of energy and environmental models in urban planning tools is strongly recommended for the development of sustainable communities [4].
The radio propagation model in urban areas is complex considering buildings and other obstacles along the roads which have a significant impact on the effective transmission range.
The game-theory based agent-cellular model is shown to be more effective than a pure cellular automata model in urban growth simulation.
When applying a distributed hydrological model in urban watersheds, grid-based land use classification data with 10 m resolution are typically used in Japan.
Bertolini's node and place model in urban planning, however, was first brought to the attention of the researchers of crime at and around transits stations by Ceccato (2013), Ceccato et al. (2013), and Ceccato and Uittenbogaard (2014).
Urban canopy parametrisations like the Town Energy Balance TEB solve the urban surface energy balance for a simplified urban morphology in order to provide the lower boundary conditions for atmospheric models in urban areas.
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