Topic
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.
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TL;DR: Techniques of MODEL FORMULation and Block DIAGRAMS are described, which are used in the SIMULATION of any system, and Probability DISTRIBUTions of TRAFFIC InPUT CHARACTERISTICS, MONTE CARLO METHODs, and POISSON DISTRIBUTION are discussed.
Abstract: SIMULATION OF VEHICULAR TRAFFIC ON HIGH-SPEED COMPUTERS IS A TECHNIQUE WHICH ENABLES THE STUDY OF A COMPLEX TRAFFIC SYSTEM IN THE LABORATORY RATHER THAN IN THE FIELD. THE USE OF COMPUTERS IS DESCRIBED USING ANALOGUE AND DIGITAL SIMULATION. IN ANALOGUE SIMULATION, THE MATHEMATICAL MODELS USED MUST BE THOSE WHICH INVOLVE DIFFERENTIAL EQUATIONS OR WHICH CAN BE MADE TO LOOK AS THOUGH THEY INVOLVED DIFFERENTIAL EQUATIONS. WITH DIGITAL SIMULATION, HOWEVER, IT IS POSSIBLE TO USE MODELS DESCRIBED IN WORDS RATHER THAN MATHEMATICAL TERMS. TECHNIQUES OF MODEL FORMULATION AND BLOCK DIAGRAMS ARE DESCRIBED WHICH ARE USED IN THE SIMULATION OF ANY SYSTEM. MATHEMATICAL TECHNIQUES USED ARE DISCUSSED. PROBABILITY DISTRIBUTIONS OF TRAFFIC INPUT CHARACTERISTICS, MONTE CARLO METHODS, AND POISSON DISTRIBUTION. EXAMPLES PRESENTED ARE OF: INTERSECTION, FREEWAY TRAFFIC FLOW AND TRAFFIC STUDIES. PUBLISHED SIMULATION WORK ON STUDIES OF TRAFFIC FLOW WERE MADE ON THE FOLLOWING TYPES OF FACILITIES: SIGNALIZED STREETS, FREEWAYS, AND TUNNELS.
16 citations
TL;DR: An open distributed platform for traffic generation capable of producing traffic at packet level and of accurately replicating appropriate stochastic processes for both inter departure time (IDT) and packet size (PS) random variables is presented.
16 citations
19 Jun 2013
TL;DR: The most important characteristics ofnetwork traffic, which are usually measured during their monitoring, as well as different approaches for the evaluation of network traffic properties are described.
Abstract: This paper deals with the issues arising during network traffic monitoring performed by the passive approach of measurement. It describes the most important characteristics of network traffic, which are usually measured during their monitoring, as well as different approaches for the evaluation of network traffic properties. Current research and development in the field of network monitoring is focused on the abilities to measure various network traffic characteristics. The greatest effort is placed on the maximization of their efficiency and minimization of their impacts on the overall functionality of the network. Since there are many approaches for measuring network traffic properties, only the most commonly used ones will be discussed, i.e. active and passive measurement. The paper is concluded with some notes aimed at the future direction by which should research work proceed.
16 citations
TL;DR: A novel approach to scalability and efficiency of parallel network simulations based on partitioning a network into domains and of the simulation time into intervals is described, which allows the parallelization with infrequent synchronization, and achieves significant simulation speedups.
16 citations
TL;DR: The "ripple effect" is identified as a significant contributor to the computational effort required by fluid simulation, and the parameter space of a given network model can be divided into different regions where one simulation technique is more efficient than the other.
16 citations