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EN
In the previous works we presented a study for modeling and simulation of vehicular traffic systems based on queuing networks. Specifically, in paper (Pasini and Bianchini, 2019), we studied the urban network located in North Siena, in the city of Siena (Italy), in its actual layout, after the Municipality had introduced some changes for vehicular flow management. This system is based on two roundabouts and a crossroad, as shown in Figure 1. In this work, we are going to conclude our previous study, comparing the actual vehicular flow and the flow derived from an alternative system, foreseen by the PRG of the Municipality of Siena which is composed of three roundabouts and which has not been implemented yet.
EN
This work is part of the research activities developed in our department on the construction of vehicle traffic system simulators (TASKQuart.22(2) 135 [1],20(1) 9 [2],17(3) 155 [3],20(3) 273 [5],14(4) 405 [6],9(4) 397 [7],Simulation Modelling Practice and Theory 17 (4) 625 [8]). The modeling of the traffic system is implemented through the use of queuing networks. In this case we analyze, through a simulation, the impact on traffic flows of a structural change that the Municipal Administration has implemented on the urban road system. The study refers to some works published by us previously about the procedures applied by us to build a simulator. In this case we have developed software allowing us to analyze the data tracked by the system simulations to display it graphically. This procedure enables us to clearly compare the traffic system behavior in its new configuration with the traffic system behavior in the previous configuration.
EN
This work fits into the context of our studies on traffic simulation for computer and telecommunication networks [1–5]. The technique that we use is based on complex queuing network models that allow us to simulate the functioning of network devices, and the traffic flows between them. In a previous work [2] we defined a library of objects for the modeling of the computer network. This library also models the network traffic induced by the execution of web applications run in a distributed fashion on various network devices. In this work we describe the changes applied to the service procedures of some library objects, and we develop a specific study for the evaluation of the execution times of three types of applications: 1. Navigation 2. Download Manager 3. Mobile Agents.
EN
This paper outlines a study carried out to answer the questions asked by an architect of the Siena Municipality Office during a conference at our Department on the managementof traffic flows through the Siena North city road system. The purpose of the study was to ascertain if changes in the road system introduced and included in the new City Developmen tPlan would resolve the current traffic congestion issues. In order to answer this question, we used the technology for the development of vehicle traffic system simulators which was introduced during our previous projects (TASKQuart.14(4) 405,17(3) 155,20(1) 9,20(3) 273).
EN
The aim of this work is to define a procedure for the modelling of a computer network for the simulation of the network traffic induced by the execution of web applications. The work consists in describing the objects of a library defined for modelling both the hardware and the software of the system. These are specific objects with an architecture based on complex queuing service structures. The objects of the library are used to both build the computer network model and describe the operation of a web application executed on the network in a distributed fashion.
EN
In a previous work [Pasini L and Sabatini S 2016 TASK Quart. 20 (1) 9], we described a technique that allows a specific system of urban traffic to be associated to a description file system, called Model.dat. This file contains a list of data objects that are defined in the library [Pasini L and Feliziani S 2013 TASK Quart. 17 (3) 155] and that form the architecture model of a vehicular traffic system. This model turns out to be a network of queuing systems. In this work, we illustrate how we adapted the old procedure to study a new urban traffic system. Moreover, through a new tracking procedure, we illustrate how we developed a graphic simulation able to reinterpret the data from the simulation of the queuing networks model, in order to make it easier to check the effectiveness of the simulator and to have a graphical way to analyze the data.
EN
In a previous work [1], we have defined an object library that allows the building of architectural models of urban traffic systems. In this work we illustrate the procedures that enable us to produce a system simulator starting from the architectural model of an urban vehicular traffic system.
8
Content available Container terminal as a queening transport networks
EN
The queuing networks consist of several connected simple queuing system. In container terminal as an open network containers enter the queuing network from sea and landside, received adequately service at system and leave the network. Jackson’s network is simplest form of queuing networks, characterized by unlimited overall numbers of customers belong to the one class of customers. Customer – containers arrived' system with exponential arrival pattern (Poison or Erlang) and are served on single or multi-channel servers with exponential service time.􀀃Another case of queuing networks is network of Kelly with different classes of customers (containers) but each class of containers has fixed route (service model) in the transport system. The Baskett, Chandy, Muntz and Palacios – BCMP networks include different class of customers, with different queuing discipline and generally distributed time. Routes (service model) through the network may depend on the class of customers – containers, and the containers can change its class while passing through the system. This article describes different queuing networks, which can be used to modelling of the container terminal as a queuing transport network. The Queuing Theory may be used to determine the appropriate level of capacity required at container terminal and the staffing levels required at service facilities, over the nominal average capacity required to service expected demand. The model of the container terminal called a queuing network had better represent the real structure then a single system.
PL
W pracy zaprezentowano opracowany na bazie kolejek sieciowy model systemu produkcji jednej z małopolskich firm wytwarzających wanny z masażem, a także jego walidację oraz szereg badań symulacyjnych w oparciu o ten model dotyczących zwiększenia wielkości produkcji i wydajności systemu, optymalizacji parametrycznej modelu, dostosowania struktury systemu produkcji do wymaganej wielkości produkcji oraz wpływu usterek i absencji pracowników na wielkość produkcji.
EN
In this work model of production system using queuing networks is presented based on one of firms in Malopolska, which produces jacuzzi. This model was validated and was used in many tests in order to increase volume of production, effectiveness of production system, in parametrical optimization of production system and adaptation of structure of production system to desired volume of production and also in tests, in which the influence of machine defects and personal absence on volume of production.
10
Content available remote Simulators of VOIP Traffic in P2P Networks
EN
This study is included in a research programme developed by the authors at the University of Studies in Camerino for the construction of traffic flow simulators in computer and telecommunication networks [1–4]. The article contains the definition of a library of object types whose architecture is based on the queue networks, for a simulation of the VOIP traffic in P2P networks. Basing on this library, we simulate the traffic in a P2P network that is locally implemented with three different technology types: 1. Fast Ethernet, 2. Wireless, 3. ADSL2+. In this context, we simulate traffic flows due to file-sharing applications in the network and due to voice communications through the VOIP technology. Thus, we evaluate the impact of the VOIP traffic for procedures of file-sharing in a P2P network.
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