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Network traffic simulation

About: Network traffic simulation is a research topic. Over the lifetime, 4535 publications have been published within this topic receiving 74606 citations.


Papers
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Journal ArticleDOI
TL;DR: Based on a redefinition of transportation network efficiency, a quantitative efficiency evaluation method for transportation network is proposed, which could reflect the effects of network structure, traffic demands, travel choice, and travel costs on network efficiency as mentioned in this paper.
Abstract: An effective evaluation of transportation network efficiency/performance is essential to the establishment of sustainable development in any transportation system. Based on a redefinition of transportation network efficiency, a quantitative efficiency evaluation method for transportation network is proposed, which could reflect the effects of network structure, traffic demands, travel choice, and travel costs on network efficiency. Furthermore, the efficiency-oriented importance measure for network components is presented, which can be used to help engineers identify the critical nodes and links in the network. The numerical examples show that, compared with existing efficiency evaluation methods, the network efficiency value calculated by the method proposed in this paper can portray the real operation situation of the transportation network as well as the effects of main factors on network efficiency. We also find that the network efficiency and the importance values of the network components both are functions of demands and network structure in the transportation network.

18 citations

Proceedings ArticleDOI
01 Nov 2007
TL;DR: It is demonstrated that this model includes the necessary components to describe various actual distributed system technologies, and provides the mechanisms to describe concurrent network traffic, evaluate different strategies in data replication, and analyze job scheduling procedures.
Abstract: The use of discrete-event simulators in the design and development of large scale distributed systems is appealing due to their efficiency and scalability. Their core abstractions of process and event map neatly to the components and interactions of modern-day distributed systems and allow designing realistic simulation scenarios. MONARC 2, a multithreaded, process oriented simulation framework designed for modelling large scale distributed systems, allows the realistic simulation of a wide-range of distributed system technologies, with respect to their specific components and characteristics. In this paper we present the design characteristics of the simulation model proposed in MONARC 2. We demonstrate that this model includes the necessary components to describe various actual distributed system technologies, and provides the mechanisms to describe concurrent network traffic, evaluate different strategies in data replication, and analyze job scheduling procedures.

18 citations

Journal ArticleDOI
TL;DR: In this research, the use of feed forward neural network for traffic time-series prediction is presented and the traffic in one direction of the road segment is predicted.
Abstract: Short time prediction is one of the most important factors in intelligence transportation system (ITS). In this research, the use of feed forward neural network for traffic time-series prediction is presented. In this paper, the traffic in one direction of the road segment is predicted. The input of the neural network is the time delay data exported from the road traffic data of Monroe city. The time delay data is used for training the network. For generating the time delay data, the traffic data related to the first 300 days of 2008 is used. The performance of the feed forward neural network model is validated using the real observation data of the 301st day.

18 citations

Proceedings ArticleDOI
17 Dec 2010
TL;DR: The results shows that the Springwald layout provides a simulation environment where the system level performance is comparable with the reference scenarios, however, with some additional features of the non-regular effects.
Abstract: This paper defines a synthetic non-regular Springwald network layout which is easy to take into use in cellular network system simulations. The performance of the non-regular layout was compared with two regular 3GPP simulation scenarios. The benefit of the non-regular layout is that it reflects better the live network deployments and therefore results in more realistic benchmarking metrics. The results shows that the Springwald layout provides a simulation environment where the system level performance is comparable with the reference scenarios, however, with some additional features of the non-regular effects.

18 citations

Journal ArticleDOI
01 Aug 2005
TL;DR: Simulation and performance evaluation of a deployed radio communication network operated by a public safety agency using the OPNET simulation tool and a newly developed network simulator named WarnSim are described.
Abstract: In this article, the authors describe simulation and performance evaluation of a deployed radio communication network operated by a public safety agency. The network consists of a central site and multiple cells. Each cell has a finite number of available radio channels. The network is circuit-switched. Hence, the system utilization is a time and space distribution of the number of concurrent calls. To determine the traffic load variations, the authors analyze activity data from sample weeks in 2002 and 2003. They simulate the network by using the OPNET simulation tool and a newly developed network simulator named WarnSim. Simulation models are based on the collected activity data and are used to evaluate the utilization of system resources and to locate network bottlenecks.

18 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202312
202255
20212
20202
20195
201815