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.

Dynamic network traffic assignment and simulation methodology for advanced system management applications

Abstract: Evaluation and operation of intelligent transportation system technologies in transportation networks give rise to methodological capabilities that require description of the dynamics of network traffic flows over time and space. Both descriptive and normative dynamic traffic assignment capabilities are required in this environment. Several dynamic network flow modeling problem formulations that arise in this context are discussed, and simulation-assignment procedures are described for these problems. A dynamic traffic assignment (DTA) system for advanced traffic network management is described. It is built around a traffic simulation-assignment modeling framework, which describes the evolution of traffic patterns in the network for given traffic loading under particular control measures and route guidance information supply strategies to individual motorists. The simulator is also embedded in an interactive search algorithm to determine optimal route guidance instructions to motorists. Numerical experiments with the model illustrate the relative effectiveness of different information supply strategies under different user behavior response rules.

Exploiting the fundamental diagram of urban networks for feedback-based gating

Abstract: Traffic signal control for urban road networks has been an area of intensive research efforts for several decades, and various algorithms and tools have been developed and implemented to increase the network traffic flow efficiency. Despite the continuous advances in the field of traffic control under saturated conditions, novel and promising developments of simple concepts in this area remains a significant objective, because some proposed approaches that are based on various meta-heuristic optimization algorithms can hardly be used in a real-time environment. To address this problem, the recently developed notion of network fundamental diagram for urban networks is exploited to improve mobility in saturated traffic conditions via application of gating measures, based on an appropriate simple feedback control structure. As a case study, the proposed methodology is applied to the urban network of Chania, Greece, using microscopic simulation. The results show that the total delay in the network decreases significantly and the mean speed increases accordingly.

Why we don't know how to simulate the Internet

Abstract: Simulating how the global Internet data network behaves is an immensely challenging undertaking because of the network's great heterogeneity and rapid change. The heterogeneity ranges from the individual links that carry the network's traffic, to the protocols that interoperate over the links, to the “mix” of different applications used at a site and the levels of congestion (load) seen on different links. We discuss two key strategies for developing meaningful simulations in the face of these difficulties: searching for invariants and judiciously exploring the simulation parameter space. We finish with a look at a collaborative effort to build a common simulation environment for conducting Internet studies.

Fundamentals of traffic simulation

Abstract: Models, Traffic Models, Simulation, and Traffic Simulation.- Microscopic Traffic Flow Simulator VISSIM.- Traffic Simulation with AVENUE.- Traffic Simulation with Paramics.- Traffic Simulation with Aimsun.- Traffic Simulation with MITSIMLab.- Traffic Simulation with SUMO - Simulation of Urban Mobility.- Traffic Simulation with DRACULA.- Traffic Simulation with Dynameq.- Traffic Simulation with DynaMIT.- Traffic Simulation with METANET.

Method and system for adaptive network security using intelligent packet analysis

Abstract: A method and system for adaptive network security using intelligent packet analysis are provided. The method comprises monitoring network data traffic. The network data traffic is analyzed to assess network information. A plurality of analysis tasks are prioritized based upon the network information. The analysis tasks are to be performed on the monitored network data traffic in order to identify attacks upon the network.