Freeway traffic flow is described in terms of control theory. The detecting elements of millimeter-wave radar sensors, which detect speed and occupancy time by a 61-GHz continuous-wave doppler radar, are used. The regulating unit consists of variable traffic signs for traffic-dependent speed limit and alternative route guidance. The control unit consists of a local computer and a control center...

We present an extensive flow-level traffic analysis of the network worm Blaster.A and of the e-mail worm Sobig.F. Based on packet-level measurements with these worms in a testbed we defined flow-level filters. We then extracted the flows that carried malicious worm traffic from AS559 (SWITCH) border router backbone traffic that we had captured in the DDoSVax project. We discuss characteristics ...

Transportation system has time-varying, coupling and nonlinear dynamic characteristics. Traffic flow forecast is one of the key technologies of traffic guidance. It is very difficult to accurately forecast them effectively. This paper has analyzed the complexity and the evaluation index of urban transportation network and has proposed the forecasting model of the hybrid algorithm based on chaos...

short-term prediction of traffic flow is central to alleviating congestion and controlling the negative impacts of environmental pollution resulting from vehicle emissions on both inter- and intra-urban highways. the strong need to monitor and control congestion time and costs for metropolis in developing countries has therefore motivated the current study. this paper establishes the applicatio...

This paper aims to evaluate and compare the effects of different methods of ramp metering on the operational conditions of traffic flow at three levels: the network level (including the freeway and its connected ramps), the entrance ramp, and the upstream segment of the entrance. To achieve this aim, one of the most important urban freeways in the metropolis of Isfahan was selected. The traffic...

We study the characteristics of Internet1 and Internet2 traffic at a network access point at a major US university. With the use of fluid-flow modeling, we show that Internet1 and Internet2 traffic have different queuing behaviors and that a small percentage of traffic on both networks largely contributes to this overall queuing behavior. We also demonstrate that buffer sizing, as a method to r...