Page 184 - DCAP601_SIMULATION_AND_MODELING

Simulation and Modelling

Notes Computer Simulation in Practical Contexts

Figure 10.6: Smog around Karl Marx Stadt (Chemnitz)

Computer simulations are used in a wide variety of practical contexts, such as:
1. Analysis of air pollutant dispersion using atmospheric dispersion modeling
2. Design of complex systems such as aircraft and also logistics systems.

3. Design of Noise barriers to effect roadway noise mitigation
4. Flight simulators to train pilots
5. Weather forecasting
6. Simulation of other computers is emulation.

7. Forecasting of prices on financial markets (for example Adaptive Modeler)
8. Behavior of structures (such as buildings and industrial parts) under stress and other
conditions

9. Design of industrial processes, such as chemical processing plants
10. Strategic Management and Organizational Studies
11. Reservoir simulation for the petroleum engineering to model the subsurface reservoir
12. Process Engineering Simulation tools.

13. Robot simulators for the design of robots and robot control algorithms
14. Urban Simulation Models that simulate dynamic patterns of urban development and
responses to urban land use and transportation policies. See a more detailed article on
Urban Environment Simulation.
15. Traffic engineering to plan or redesign parts of the street network from single junctions
over cities to a national highway network, for transportation system planning, design and
operations.
16. Modeling car crashes to test safety mechanisms in new vehicle models

The reliability and the trust people put in computer simulations depends on the validity of the
simulation model, therefore verification and validation are of crucial importance in the
development of computer simulations. Another important aspect of computer simulations is
that of reproducibility of the results, meaning that a simulation model should not provide a

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