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- W1497194110 abstract "Computer codes are being developed to model many complex phenomena. Use of these models to inform a process they are meant to simulate poses many challenges, including design of computer experiments and statistical analysis of simulation results. Often these computer simulations have relatively high dimensional input or output, so one of the first goals of experimentation is to reduce to a manageable subset of inputs that have greater potential impact on some one or few output summaries deemed of interest. Variance-based methods are useful for determining variables having substantive influence on the experimental results, but any structure of underlying relationships between inputs and outputs is also of interest. Design of computer experiments from which information can be obtained with reasonable efficiency is necessary. This paper considers these Challenges via illustration. A study is considered involving the performance of a simulation of a series of actuated traffic controls and vehicle detectors. In addition to inputs associated with control of the series of traffic signals, there are inputs associated with demand. Ideally, settings are sought for the control parameters that lead to good performance of the simulation across a range of realistic demand possibilities. Good performance of the simulation is based onmore » how realistic is the resulting traffic flow as measured by such summaries as average time stopped or average travel time by vehicles entering the control area. Although the main goal of this study is to determine an 'optimal' set of control parameter values, simulation experiments are undertaken to generate data that allow possible capture of dynamics of interest and sensitivity of outputs to sets of input parameters. In the following background section, some more details, although still a simplified description in layman terms, of the computer model evaluation project is presented. In section 3, an initial, exploratory evaluation of the simulation via comparison of correlation coefficients for different subsets of inputs based on the results obtained from a design experiment is presented. Concluding remarks on continuing and related work appear in section 4 with additional acknowledgements in section 5.« less" @default.
- W1497194110 created "2016-06-24" @default.
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- W1497194110 date "2001-01-01" @default.
- W1497194110 modified "2023-09-27" @default.
- W1497194110 title "CHALLENGES IN STUDIES OF COMPLEX PHENOMENA VIA SIMULATION" @default.
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