With a dramatic increase in the number and variety of applications running over the internet, it is very important to be capable of dynamically identifying and classifying flows/traffic according to their network applications. Meanwhile, internet application classification is fundamental to numerous network activities. In this paper, we present a novel methodology for identifying different inte...

In this work we present and evaluate different automated combination techniques for traffic classification. We consider six intelligent combination algorithms applied to both traditional andmore recent traffic classification techniques using either packet content or statistical properties of flows. Preliminary results show that, when selecting complementary classifiers, some combination algorit...

In this paper, the traffic flow at an unsignalized T-shaped intersection in which there are three input directions of vehicles and two right-turnings and one left-turning has been investigated by using the cellular automata traffic model. The interactions between vehicles on different lanes and effects of traffic flow states of different roads on capacity of T-shaped intersection system are ana...

Traffic flow data are routinely collected for many networks worldwide. These invariably large data sets can be used as part of a traffic management system, for which good traffic flow forecasting models are crucial. The linear multiregression dynamic model (LMDM) has been shown to be promising for forecasting flows, accommodating multivariate flow time series, while being a computationally simp...

We consider the problem of a packet multiplexor that receives packets from multiple input flows, then forwards them to a single output channel. The multiplexor ensures a predefined forwarding rate for each flow. This is achieved as follows. The multiplexor assigns a timestamp to each received packet. When the channel becomes idle, the multiplexor forwards the packet with the smallest timestamp....

Institute of Transportation Studies, University of California, Irvine, Calif. 92717. Traffic flow on freeways is a complex process that often is described by a set of highly nonlinear, dynamic equations in the form of a macroscopic traffic flow model. However, some of the existing macroscopic models have been found to exhibit instabilities in their behavior and often do not track real traffic d...

This paper presents a model for interdomain traffic simulation at the flow level. The model explicitly takes into account three network-related variables for the traffic generation process: the arrival process of the layer-4 flows, the traffic volume carried over these flows and the rate at which these flows can send traffic. The variables of the model are first analyzed on a real flow-level in...

Traditionally, models used in air traffic flow management are based on simulating the trajectories of individual aircraft. While practical, this approach does not offer any insights into the dynamics of the traffic flow. Recently, two different approaches, (1) aggregate traffic model approach and (2) Eulerian model approach, have been presented to generate linear dynamic models that represent t...

Traditionally, models used in air traffic control and flow management are based on simulating the trajectories of individual aircraft. This approach results in models with a large number of states, which are intrinsically susceptible to errors and difficult for designing and implementing optimal strategies for traffic flow management. This paper outlines an innovative approach for the developme...

We investigate the organization of traffic flow on preexisting uniand bidirectional ant trails. Our investigations comprise a theoretical as well as an empirical part. We propose minimal models of uniand bidirectional traffic flow implemented as cellular automata. Using these models, the spatio-temporal organization of ants on the trail is studied. Based on this, some unusual flow characteristi...