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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.


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Journal ArticleDOI
TL;DR: A comparison of 17 simulation software tools has been conducted by analysing scientific papers and technical specifications and particular emphasis was placed on the flexibility and adaptively of real-time simulation solutions in the context of heterogeneous road networks (urban, interurban, rural) and other special requirements in non-mainstream regions.
Abstract: Traffic simulation models and software tools have been developed for the purpose of traffic modelling, planning and to analyse different strategies in traffic control during simulations. Traffic simulation models and tools are increasingly used in real-time for traffic management with the use of area-wide online traffic data. A comparison of 17 simulation software tools has been conducted by analysing scientific papers and technical specifications. An online survey with the focus on realized functionalities and planned improvements has been conducted together with traffic simulation tool developers and product managers. Particular emphasis was placed on the flexibility and adaptively of real-time simulation solutions in the context of heterogeneous road networks (urban, interurban, rural) and other special requirements in non-mainstream regions. It has become apparent that simulation software tools have many challenges in the application of simulating road conditions of complex heterogeneous road transportation networks and heterogeneous traffic with a small amount of real-time data.

48 citations

Proceedings ArticleDOI
03 Oct 2004
TL;DR: Experiments show that, by using a Bayesiannetwork for short-term traffic flow forecasting, one can improve the forecasting accuracy significantly, and that the Bayesian network is an attractive forecasting method for such kinds of forecasting problems.
Abstract: A novel approach based on Bayesian networks for short-term traffic flow forecasting is proposed. A Bayesian network is originally used to model the causal relationship of time series of traffic flows among a chosen link and its adjacent links in a road network. Then, a Gaussian mixture model (GMM), whose parameters are estimated through competitive expectation maximization (CEM) algorithm, is applied to approximate the joint probability distribution of all nodes in the constructed Bayesian network. Finally, traffic flow forecasting of the current link is performed under the rule of minimum mean square error (MMSE). To further improve the forecasting performance, principal component analysis (PCA) is also adopted before carrying out the CEM algorithm. Experiments show that, by using a Bayesian network for short-term traffic flow forecasting, one can improve the forecasting accuracy significantly, and that the Bayesian network is an attractive forecasting method for such kinds of forecasting problems.

48 citations

Journal ArticleDOI
TL;DR: The JACK software is used for having the explicit capabilities and supporting the common of this software in modelling the multi-agent systems, such as agents, design, event and capabilities, in this article.
Abstract: Intelligent traffic management can be considered one of the most promising solutions to contemporary traffic problems The traffic in transportation associated with emergency conditions including psychiatric improvement in transport network, allocation of variable traffic flows, reducing the number of the crowded traffic roads and paths as well as its negative effects (such as delays, waiting time, stress of driver, noise and air pollution, and blocking the assistive devices) This research has been used by new multi-agent systems to manage traffic On the one hand, the proposed algorithm includes traffic flow improvement in emergency conditions until it is considered as real-time traffic information and in other hand, by preventing the increase the volume of a paths have effects in the reduce of crowded traffic situations at a specific time (for example, providing the proposed paths in the shortest time) In this article, the integrated environment is including JACK software for having a virtual agent behavior simulation In general, we can use the different simulation form in a distribution network to display the crowded and traffic In this article, the JACK software is used for having the explicit capabilities and supporting the common of this software in modelling the multi-agent systems, such as agents, design, event and capabilities In addition, designing and analyzing of this interaction is simplest than the existed designs in JACK software As a result of the proposed model, it seems reasonable that the proposed approach is different than previous works in each case On the one hand, there are modeling system in the different tasks as intelligent agents dependent to present the simple and effective road network In this case, it may correct and changes the actions of driver in emergency conditions by the concept of agent cooperation for achieving the common target

48 citations

Proceedings ArticleDOI
17 Nov 2002
TL;DR: In this article, the authors investigated the problem of designing a sparse-grooming WDM mesh network, and several design schemes were proposed to achieve good network performance and reduce the network cost.
Abstract: In a WDM optical network, the bandwidth requirement of a customer's connection can vary over a wide range, and many of these connections could have a capacity that is much lower than the capacity of a wavelength channel. Efficiently grooming low-speed connections onto high-capacity wavelength channels can significantly improve the bandwidth utilization and minimize the network cost. Our research shows that it is not necessary to have traffic-grooming capability at every network node. We call a network which has only a few grooming nodes to be a sparse-grooming network. Through proper network design and traffic engineering, it is possible for a sparse-grooming network to achieve similar network performance as a network which has grooming capability at every node. We investigate the problem of designing such a sparse-grooming WDM mesh network. The problem is mathematically formulated and several design schemes are proposed. Illustrative numerical results from the mathematical formulation as well as heuristics show that, by properly choosing the grooming nodes, a network with sparse-grooming capability can achieve good network performance and the network cost can be significantly reduced.

48 citations

Proceedings ArticleDOI
11 May 2007
TL;DR: This work developed an integrated traffic/network simulation tool for evaluating network protocols in realistic VANET environments and employed well-studied microsimulation models and wireless ad hoc network models from the domain of transportation and traffic science and the networking community.
Abstract: Simulation of network protocol behavior in Vehicular Ad Hoc Network (VANET) scenarios is the predominant basis for evaluating the applicability of particular protocols developed in the Mobile Ad Hoc Network (MANET) domain. As the selection of a mobility model influences the outcome of simulations to a great deal, the use of a representative model is necessary for producing meaningful evaluation results. In this work, we discuss and motivate the needs for coupling traffic micro simulation with standard network simulation. In particular, we developed such an integrated traffic/network simulation tool for evaluating network protocols in realistic VANET environments. In our work, we employed well-studied microsimulation models and wireless ad hoc network models from the domain of transportation and traffic science and the networking community, respectively. It could be shown that network simulations that make use of realistic traffic models produce vastly different results than those relying on commonly used simplistic models, while their adoption incurs only negligible performance penalties.

48 citations


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