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...

This paper proposes a feedback-based algorithm for congestion control and bandwidth allocation in the presence of either TCP traffic or both TCP and real-time traffic. In this proposal, the network layer conveys bandwidth and propagation delay measurements to data sources, for instance using IPv6 optional fields. TCP sources use this bandwidthdelay product to control their congestion window, wh...

This paper describes the modeling of recurring congestion in a network. It is shown that the standard economic models of marginal cost cannot describe precisely traffic congestion in networks during time-dependent conditions. Following a macroscopic traffic approach, we describe the equilibrium solution for a congested network in the no-toll case. A dynamic model of cordon-based congestion pric...

In this paper, a robust decentralized congestion control strategy is developed for a large scale network with Differentiated Services (Diff-Serv) traffic. The network is modeled by a nonlinear fluid flow model corresponding to two classes of traffic, namely the premium traffic and the ordinary traffic. The proposed congestion controller does take into account the associated physical network res...

Vehicular traffic congestion is a well-known economic and social problem generating significant costs and safety challenges, and increasing pollution in the cities. Current intelligent transport systems and vehicular networking technologies rely heavily on the supporting network infrastructure which is still not widely available. This paper contributes towards the development of distributed and...

In recent years various models for packet traffic in networks have been developed. Most models have used Poisson-like sources which replicate traffic that is voice type. Such sources are said to be short-range-dependent (SRD). The early models of Solé and Valverde demonstrated that longrange-dependent (LRD) traffic could arise in the queue length dynamics at a given node within a communications...

In present scenario of research, network congestion is one of the most interesting area. Congestion in internet is a long-standing problem and in modern days internet service providers use congestion control and congestion avoidance techniques to avoid congestion collapse. Internet congestion appears when a large volume of data is being routed on low bandwidth lines or across networks that have...

To design complex networks to minimize traffic congestion, it is necessary to understand how traffic flow depends on network structure. We study data packet flow on complex networks, where the packet delivery capacity of each node is not fixed. The optimal configuration of capacities to minimize traffic congestion is derived and the critical packet generating rate is determined, below which the...