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.

A simulation tool for traffic signal control planning

Abstract: The testing and evaluation of alternative signal control strategies is time consuming and the classic methods in delay and queue length estimation do not always give sufficient and valid information in changing traffic conditions. New ways are therefore needed. One possible method is advanced computer simulation. To be useful in signal control planning and research a simulator must be able to simulate the functions of the signal controller; and the behaviour and reactions of traffic flow to the signals. The paper summarizes the principles and experiences gained so far in the building and testing of this new kind of a simulator at The Helsinki University of Technology.< >

Vehicle-to- vehicle ad hoc communication protocol evaluation using realistic simulation framework

Abstract: Vehicular communication is an emerging technology that has lot of potential to support transportation safety, traffic information and other ITS related applications. Due to its unique challenges and infrastructure requirements it is very difficult to evaluate new communication technologies in real world. A good simulation environment is required to evaluate new technologies in close to real-world situations. In this paper we proposed a new simulation framework for vehicular communication protocol evaluation and used this simulation tool to evaluate the performance of event dissemination protocol in realistic city traffic environment. Goal of the event dissemination algorithm is to achieve maximum coverage while keeping the network overhead at minimum. We presented the implementation of custom driving simulation model and propagation simulation model and used them to evaluate the event dissemination protocol with realistic vehicular mobility in urban traffic scenario. Simulation model presented in this paper provides plug-in type modules to extend the features for a particular simulation feature, whether it is for new communication protocol or new driver behavior model

Wireless network hybrid simulation

Abstract: A simulation method and system partitions network traffic into background traffic and explicit traffic, wherein explicit traffic is processed in detail, and background traffic is processed at a more abstract level. The packets of explicit traffic are modeled in complete detail, so that precise timing and behavior characteristics can be determined, whereas large volumes of traffic are modeled more abstractly as background flows, and only certain aspects, such as routing through the network, are simulated. Tracer packets are used to model the background traffic and carry a number of characteristics of interest for generating simulation results. These tracer packets are propagated through the network in the same manner as any other simulated packet and therefore are processed through each element traversed by the propagation of the background traffic, but each single tracer packet is representative of all of the packets comprising the modeled background traffic. In this manner, the effect of the background traffic on the explicit traffic can be modeled at each network element. The abstract processing of background traffic is facilitated by techniques that include multi-variate table look-up, neural networks, and the like.

Rate control of elastic connections competing with long-range dependent network traffic

Abstract: Long-range dependence is regarded as a fundamental property of network traffic. Using an original approach, we incorporate this property in a traffic control mechanism for elastic connections that can adapt to the instantaneous network load in a differentiated services-type framework. In this scenario, the network makes predictions of bandwidth requirements of the high-priority traffic and returns feedback information to the elastic source. We include a prediction compensation algorithm that compensates for the larger prediction errors for connections with longer roundtrip delay, and analyze the performance of this algorithm. The specific topology involved in traffic control for differentiated services is thus harnessed, together with the long-range dependence, to improve network performance, thereby counteracting the undesirable characteristics of self-similarity. Furthermore, an adaptive version of the rate-based control algorithm is studied, based on the use of real-time estimates of traffic parameters, including the mean, variance, and Hurst parameter.

Network traffic prediction using PCA and K-means

Abstract: The growing demand for link bandwidth and node capacity is a frequent phenomenon in IP network backbones. Within this context, traffic prediction is essential for the network operator. Traffic prediction can be undertaken based on link traffic or on origin-destination (OD) traffic which presents better results. This work investigates a methodology for traffic prediction based on multidimensional OD traffic, focusing on the stage of short-term traffic prediction using Principal Components Analysis as a technique for dimensionality reduction and a Local Linear Model based on K-means as a technique for prediction and trend analysis. The results validated with data on a real network present a satisfactory margin of error for use in practical situations.