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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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Proceedings ArticleDOI
25 Jun 2008
TL;DR: The simulation results prove the effectiveness of the designed MPC based traffic control strategy, able to improve the network efficiency and reduce travel time, creating optimal flow in the network subjected to control input constraints.
Abstract: The paper investigates a model predictive control (MPC) strategy specialized in urban traffic management in order to relieve traffic congestion, reduce travel time and improve homogenous traffic flow. Over the theory the realization of the control method is also presented. To validate the effectiveness of the controller a busy traffic network was chosen for test field. The MPC strategy was implemented into the test network control system (hardware in loop simulation). The applied environment is a microscopic traffic simulator with mathematical software and proper computational applications for the evaluation. The simulation results prove the effectiveness of the designed MPC based traffic control strategy. The system is able to improve the network efficiency and reduce travel time, creating optimal flow in the network subjected to control input constraints.

46 citations

Journal ArticleDOI
TL;DR: A simplified game theory model is proposed for simulating the evolution of the traffic network, where three network manipulators, passengers, an urban public traffic company, and a government traffic management agency play games in a network evolution process.
Abstract: We have studied urban public traffic networks from the viewpoint of complex networks and game theory. Firstly, we have empirically investigated an urban public traffic network in Beijing in 2003, and obtained its statistical properties. Then a simplified game theory model is proposed for simulating the evolution of the traffic network. The basic idea is that three network manipulators, passengers, an urban public traffic company, and a government traffic management agency, play games in a network evolution process. Each manipulator tries to build the traffic lines to magnify its “benefit”. Simulation results show a good qualitative agreement with the empirical results.

46 citations

Journal ArticleDOI
TL;DR: This paper focuses on two issues related to the scalability of network emulators, such as IP-TNE: the scalabilities of the virtual network within the emulator and the scalable of the real-time I/O interface used to interoperate with the physical network.

46 citations

01 Jan 1984
TL;DR: The paper presents the simulation model dynemo, which has been designed for the development, evaluation and optimization of traffic control systems for motorway networks, and a new traffic flow model included with the simulation package which combines the advantages of a macroscopic model and a microscopic model.
Abstract: The paper presents the simulation model dynemo which has been designed for the development, evaluation and optimization of traffic control systems for motorway networks. A new traffic flow model included with the simulation package combines the advantages of a macroscopic model (computational simplicity) with the advantages of a microscopic model (output statistics relating to individual vehicles). For each stretch in the network, the model needs as input a relationship between traffic density and mean speed and the distribution of free flow speeds. The new traffic flow model is validated by use of an example. The simulation package is implemented on a 16-bit microcomputer. A real network with a traffic control system has been simulated with the model. (Author/TRRL)

45 citations

Proceedings ArticleDOI
07 Mar 2004
TL;DR: This paper describes how TCP congestion control - additive increase and multiplicative decrease (AIMD), together with the queue management strategy used in routers, regulates TCP flows and indicates the superiority of NC-based simulation over fluid model based simulation.
Abstract: In this paper, we examine the feasibility of incorporating network calculus based models in simulating TCP/IP networks. By exploiting network calculus properties, we characterize how TCP congestion control - additive increase and multiplicative decrease (AIMD), together with the queue management strategy used in routers, regulates TCP flows. We first divide the time axis into intervals (each of which consists of multiple round-trip times), and derive a TCP AIMD throughput model which derives the attainable throughput of a TCP flow, given the number of collisions in an interval. Then based on the derived throughput model, we define a set of network calculus based theorems that give upper and lower bounds on the attainable TCP throughput in each interval. Finally, we implement network calculus (NC) based simulation in ns-2, conduct simulation in both the packet mode and the network calculus-based mode, and measure the performance gain (in terms of the execution time thus reduced) and the error discrepancy (in terms of the discrepancy between NC-based simulation results and packet-level simulation results). The simulation results indicate an order of magnitude or more (maximally 30 times) improvement in execution time and the performance improvement becomes more pronounced as the network size increases (in perspective of network capacities and number of flows). The error discrepancy between NC-based simulation and packet-level simulation, on the other hand, is minimally 1-2% and maximally 8-12% in a wide spectrum of network topologies and traffic loads employed in this study. The simulation results also indicate the superiority of NC-based simulation over fluid model based simulation (the latter realized using the time stepped hybrid simulation).

45 citations


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