Abstrucf-Self-similar traffic is distinguished by positive correlation, which can be exploited for better traffic management. Inspired hy measurement-based admission control schemes, a measurement-based congestion alarm is proposed. The aggregate traffic at an output port of a switch or router in a high-speed network is modeled by a fractional Gaussian noise process. Traffic measurements are pe...

Traffic congestion in isolated complex networks has been investigated extensively over the last decade. Coupled network models have recently been developed to facilitate further understanding of real complex systems. Analysis of traffic congestion in coupled complex networks, however, is still relatively unexplored. In this paper, we try to explore the effect of interconnections on traffic cong...

We study network traffic dynamics in a two dimensional communication network with regular nodes and hubs. If the network experiences heavy message traffic, congestion occurs due to finite capacity of the nodes. We discuss strategies to manipulate hub capacity and hub connections to relieve congestion and define a coefficient of betweenness centrality (CBC), a direct measure of network traffic, ...

Recently the rapid development of Internet of Thing (IoT) brings new opportunity to Intelligent Transportation System (ITS). The key problem is how to process the huge events generated by IoT to support ITS. In this paper a proactive complex event processing method is proposed for congestion control in ITS. Based on complex event processing, this method predicts the traffic flow using a multi-l...

Recent research has updated a 1998 study of the effects of traffic congestion on logistical efficiency in the UK. It has focused on the contribution of congestion to unreliability across nine sectors. The relationship between traffic flow and transit time variability has been modeled using data from the Highways Agency and speed-flow ratios. An analysis of transport KPI survey data and an inter...

We study network traffic dynamics in a two-dimensional communication network with regular nodes and hubs. If the network experiences heavy message traffic, congestion occurs due to the finite capacity of the nodes. We discuss strategies to manipulate hub capacity and hub connections to relieve congestion and define a coefficient of betweenness centrality (CBC), a direct measure of network traff...

Although these options look promising, they are unlikely to make a great impact in the near term. Some of them (e.g., fuel-cell vehicles) are still in their early stages of technology development and probably will need a dramatic breakthrough before they can be fully implemented. For those that are technology-ready and have started to enter the market (e.g., hybrid vehicles and alternative fuel...

As traffic volumes increase on major intersecting arterials, the transportation engineer’s challenge is one of optimizing through traffic while providing adequate opportunities for leftturning vehicles. Increasing traffic volumes not only provide a proportionately higher number of leftturning vehicles, but also make it more difficult to negotiate a left turn due to increased opposing traffic. T...

P2P traffic has brought serious impact on the bearer network, and how to utilize network bandwidth has become a common concern problem for the Internet Service Provider (ISP) and the P2P user. A congestion distance and DHT based P2P traffic optimization method is proposed in this paper. The P2P traffic optimization model imports both aims of the ISP and the P2P user, and the cost of congestion ...

Traffic congestion has been increasing because of increased population growth mainly in major cities due to urbanization. Traffic congestion causes increased air pollution, travel time and mostly traffic accidents; therefore we need an efficient traffic management system. Today most of the cities of the world have intelligent transport system which is equipped with electronics devices to commun...