The influence of pedestrians and of environmental factors on the model are also discussed. Through the validation of real-world data, it is demonstrated that the model can accurately describe pedestrian behavior and better reproduce the characteristics of pedestrians. Compared with existing models, this model incorporates partial impact dynamics to make it applicable to the particular environment of subway stations. In this model, we consider the microscopic characteristics of pedestrians and define four force influence mechanisms for simulating pedestrian behavior. This study carries out an evaluation of safety in pedestrian flows by establishing a new force model based on real-time data. Therefore, in-depth research into pedestrian behavior is needed. Orderly behavior is a crucial factor affecting pedestrian safety. With the rapid development of urban rail transit, the scientific assurance of pedestrian safety has become an important issue. Oproti tomu u přístupu progresivního byla provedena validace, jejíž podstatou je prokázání jeho funkčnosti a možnosti praktického uplatnění.
#Anylogic 2002 pro#
Pro konzervativní přístup byla v rámci disertační práce navržena průřezová kritéria pro hodnocení prvků regionální kritické infrastruktury. V rámci tohoto systému jsou navrženy dva přístupy, a to konzervativní založený na hodnocení prvků způsobem „top-down“ a progresivní založený na hodnocení prvků způsobem „bottom-up“. Stěžejní částí práce je návrh systému určování regionálních subjektů a prvků kritické infrastruktury. Analytická část je zaměřena na analýzu přístupů k určování regionální kritické infrastruktury ve vybraných zemích a analýzu technik a nástrojů používaných pro analýzu infrastruktur. V rámci teoretické části je provedena deskripce historického vývoje infrastruktury, vývoje přístupů ke zkoumání kritické infrastruktury a systému určování kritické infrastruktury v České republice. Práce je koncipována do tří navazujících částí. It has been tested and validated on several private platforms, such as a dedicated cluster of workstations, as well as on public platforms, including the Hortonworks Data Platform and Amazon Web Services Elastic MapReduce solution.ĭisertační práce se zabývá problematikou určování regionálních subjektů a prvků kritické infrastruktury. under the terms of the open source Apache License. The tool has been fully developed and is available on a public repository. Finally, SOF is highly customizable and programmable, since it enables the running of different simulation optimization scenarios using diverse programming languages - provided that the hosting platform supports them - and different simulation toolkits, as developed by the modeler.
Secondly, SOF is transparent to the user, since the user is totally unaware that the system operates on a distributed environment.
#Anylogic 2002 software#
Firstly, SOF requires "zero configuration", as it does not require any additional software installed on the remote node only standard Apache Hadoop and SSH access are sufficient. In this paper, we present the design of SOF (Simulation Optimization and exploration Framework in the cloud), a framework which exploits the computing power of a cloud computational environment in order to carry out effective and efficient simulation optimization strategies.
Hence, the model optimization process is extremely demanding from a computational point of view, as it requires careful, time-consuming, complex orchestration of coordinated executions. Finding an optimal system design requires performing a large sweep over the parameter space in an organized way. Simulation models are becoming an increasingly popular tool for the analysis and optimization of complex real systems in different fields. Therefore, more hybrid models need to be constructed within LSS (especially when a flowchart and a SIPOC table are combined to develop a hybrid model) to achieve the most accurate results with accurate representation of reality. Even though, DE and AB models are both equally well suited to develop manufacturing processes and the choice of what to use may be arbitrarily dependent on the available Software or the preference of the modeller, hybrid models seem to become extremely powerful. The paper uses an LED factory as a business case to show the differences and advantages of using three different simulation techniques to solve a manufacturing problem.Įven though this is only one business case that shows how System Dynamics can be effective in a Six-Sigma manufacturing project, more examples are needed to validate this hypothesis within Six-Sigma and Lean Manufacturing fields. This paper adds to research by comparing the prognostic and visualization capabilities of all the three simulation paradigms to identify their suitability and rigor in eliminating weaknesses and bottlenecks in an LSS project.
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