Large-Scale Simulation Models in Population and Development: What Use to Planners?

Industrial construction is a complex production system involving multiple supply chains. Engineers need a tool that enables them to plan and improve the system by testing different theories. This research developed a special modeling system tailored for building large-scale simulation models for industrial construction. The modeling system can be used to model an industrial construction project as a whole supply chain system, covering spool drafting, material supply, spool fabrication, module assembly, and site installation, complete with details of the production level. The entire production system can be conceived in terms of not only activities, but also product flows and information flows by the developed modeling system. The developed model was utilized to execute several simulation experimentations to test the various theories. This testing ultimately facilitates the improvement of the performance of the whole industrial construction project system.

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Server-Side Screening and Network Visualization of Huge Simulation Results

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.713.254 ◽

2016 ◽

Vol 713 ◽

pp. 254-257

Author(s):

Tomonori Yamada ◽

Kaworu Yodo ◽

Yoshitaka Wada ◽

Shinobu Yoshimura

Keyword(s):

Large Scale ◽

Simulation Models ◽

Network Visualization ◽

Numerical Example ◽

Server Side ◽

Large Scale Simulation ◽

Computing Technologies ◽

Simulation Results ◽

Simulation Algorithms

With the growth of computing technologies including both hardware and simulation algorithms, simulation models have become extremely large in scale. Nowadays the visualization of the huge result data obtained by the large scale simulation is one of the main bottlenecks through all the simulation procedures because such large scale simulation is generally conducted on computing servers such as supercomputers, while the visualization is done on local client environments. To avoid time consuming transfer of the result data from the computing server to the local client, we propose techniques for the server-side screening and network visualization of them in advance to their transfer. We demonstrate that our approach contributes to find out the region of interests in whole the result data by a numerical example.

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Experimental Design Issues For Large Scale Simulation Models

1989 Winter Simulation Conference Proceedings ◽

10.1109/wsc.1989.718707 ◽

2005 ◽

Author(s):

R.R. Barton ◽

G.S. Fishman

Keyword(s):

Experimental Design ◽

Large Scale ◽

Simulation Models ◽

Design Issues ◽

Large Scale Simulation

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Large-scale simulation models of BGP

The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings. ◽

10.1109/mascot.2004.1348283 ◽

2004 ◽

Cited By ~ 7

Author(s):

X.A. Dimitropoulos ◽

G.F. Riley

Keyword(s):

Large Scale ◽

Simulation Models ◽

Large Scale Simulation

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Data Challenges in Development of a Regional Assignment: Simulation Model to Evaluate Transit Signal Priority in Chicago

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1841-02 ◽

2003 ◽

Vol 1841 (1) ◽

pp. 12-22 ◽

Cited By ~ 6

Author(s):

Elaine Chang ◽

Athanasios Ziliaskopoulos

Keyword(s):

Real World ◽

Large Scale ◽

Dynamic Traffic Assignment ◽

Simulation Models ◽

Data Sets ◽

Transit Signal Priority ◽

Data Set ◽

Research Attention ◽

Large Scale Simulation ◽

Regional Assignment

Recent years have seen major advances in the field of simulation-based dynamic traffic assignment (DTA), resulting in the development of DTA software packages capable of simulating real-world networks. However, simulation of such networks requires not only sophisticated algorithms and software, but also large and detailed data sets. Although algorithmic and software-related issues in large-scale DTA development have received considerable research attention, there is little reported experience with the data-related challenges in real-world applications of large-scale simulation models. There were challenges in using a large-scale simulation-assignment model for evaluation of transit signal priority (TSP) in the Chicago, Illinois, region. Relevant impacts of TSP are described, to provide a framework for comparing simulation approaches and data sets. The practice of using microsimulation models to evaluate TSP impacts on short corridors is compared with that of using regional assignment-simulation approaches, with an emphasis on TSP impacts that can be captured and observed with each one of the approaches. The data sets used for the regional Chicago TSP study are then described, along with assumptions made to adapt each data set to the task of regional time-dependent simulation.

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