The Quantized Congestion Notification (QCN) is a Layer 2 congestion control scheme for Carrier Ethernet data center networks. The QCN has been standardized as an IEEE 802.1Qau Ethernet Congestion Notification standard. This paper report a results of a QCN study with multicast traffic and proposes an enhancement to the QCN. In fact, in order to be able to scale up, the feedback implosion problem...

A discussion of the causes and impacts of recurring and non-recurring congestion accompanied with a review of potential solutions and existing examples. While congestion is a broad and subjective matter, research focused on the separate causes of recurring congestion – mainly capacity and behavioral issues – and non-recurring congestion – mainly incidents which cause unexpected congestion and t...

This article discusses the simulation and evaluation of a traffic congestion detection system which combines inter-vehicular communications, fixed roadside infrastructure and infrastructure-to-infrastructure connectivity and big data. The system discussed in this article permits drivers to identify traffic congestion and change their routes accordingly, thus reducing the total emissions of CO₂ ...

Across the nation, traffic growth and congestion continue to outpace growth in highway capacity. A large amount of this congestion occurs at intersections, rather than along the links between intersections, it is of utmost importance that traffic engineers use every available technique for improving intersection performance and safety. This paper examines the benefits of roundabouts as an alter...

www.philadelphiafed.org take, for example, London’s decision in 2003 to implement a new plan to reduce congestion in the center of the city. At the time, development was booming and traffic congestion was becoming increasingly troublesome. Rather than try to increase capacity through construction of more highways and other automobile infrastructure, London introduced a congestion pricing policy...

We consider the congestion-control problem in a communication network with multiple traffic sources, each modeled as a fullycontrollable stream of fluid traffic. The controlled traffic shares a common bottleneck node with high-priority cross traffic described by a Markovmodulated fluid (MMF). Each controlled source is assumed to have a unique round-trip delay. We wish to maximize a linear combi...

Traffic congestion is an important problem faced by Intelligent Transportation Systems (ITS), requiring models that allow predicting the impact of different solutions on urban traffic flow. Such an approach typically requires the use of simulations, which should be as realistic as possible. However, achieving high degrees of realism can be complex when the actual traffic patterns, defined throu...

Traffic Management using Fuzzy Control System Propose a distributed traffic management, in this project Network simulators are used to reduce the traffic in networks. Traffic congestion control is one of the effective approaches to manage the network traffic. In this traffic management IntelRate Controller has been used to manage the Internet congestion.. It avoids various potential performance...

Traffic congestion is a major urban transportation problem which occurs when the traffic volume exceeds the capacity of existing road facilities. The occurring of traffic congestion is due to the freedom of owning private vehicle, poor traffic facility and unrestricted urban population growth. In this study, identification of maximum flow and bottleneck path in Kota Kinabalu, Sabah, Malaysia wa...

Using mobile probes to inform and measure the effectiveness of traffic control strategies on urban networks Urban traffic congestion is a problem that plagues many cities in the United States. Testing strategies to alleviate this congestion is especially challenging due to the difficulty of modeling complex urban traffic networks. However, recent work has shown that these complicated systems ca...