We describe steps required for realizing QoS for the metro Ethernet services, including classification of Customer-VLAN (C-VLAN) traffic, relevant traffic contract specifications per C-VLAN at the User to Network Interface (UNI), appropriate buffer management and scheduling of the queues at the nodes, and admission control and traffic engineering geared towards multipoint services. General func...

This Bureau of Infrastructure, Transport and Regional Economics (BITRE) Information Sheet updates the results of a previous Bureau study (BTRE 2007, Working paper 71) identifying long-term trends in urban traffic growth and estimating the consequent impacts of that traffic growth on road network congestion levels within the Australian capital cities. Such studies attempt a suitable quantificati...

In recent years, the time variation of Internet traffic has increased due to the growth of streaming and cloud services. Backbone networks must accommodate such traffic without congestion. Traffic engineering with traffic prediction is one approach to stably accommodating time-varying traffic. In this approach, routes are calculated from predicted traffic to avoid congestion, but predictions ma...

T raffic congestion is a problem facing virtually every major metropolitan area in theUnited States. Because of prospects of continued traffic growth and relatively little money available for the expansion of highway networks, effective management of traffic flow is a vital concern. Within this context, perhaps one of the least understood and most disruptive phenomenon facing traffic flow manag...

Universal characteristics of road networks and traffic patterns can help to forecast and control traffic congestion. The antipersistence of traffic flow time series has been found for many data sets, but its relevance for congestion has been overseen. Based on empirical data from motorways in Germany, we study how antipersistence of traffic flow time-series impacts the duration of traffic conge...

Wireless Sensor Networks (WSNs) are a specific category of wireless ad-hoc networks where their performance is highly affected by application, life time, storage capacity, processing power, topology changes, the communication medium and bandwidth. These limitations necessitate an effective data transport control in WSNs considering quality of service, energy efficiency, and congestion control. ...

In WSN, usually tens or thousands of sensor nodes are deployed, scattered way in an area with one or more sinks. Moreover, for achieving reliability and load balancing, several multipath routing protocols have been proposed. But the limitation of these protocols is traffic overhead. Thus the occurrence of congestion in this situation is more likely.[3] The situation becomes worse when congestio...

Traffic congestion is a widespread epidemic that continually wreaks havoc in urban areas. Traffic jams, car wrecks, construction delays, and other causes of congestion, can turn even the biggest highways into a parking lot. Several congestion mitigation strategies are being studied, many focusing on micro-simulation of traffic to determine how modifying road structures will affect the flow of t...

This paper proposed the model and algorithms for traffic data monitoring and signal timing optimization based on continuum traffic model and wireless sensor networks. Given the scenario that sensor nodes are sparsely installed along the segment between signalized intersections, an analytical model is built based on continuum traffic equations, and an adaptive interpolation method is proposed to...

-Use of existing popular technologies for traffic congestion detection and management has been explored by several researchers in recent times. However, most of the works either deal with congestion detection strategies or address the issue of congestion control through signal manipulation or other aids. To the best of our knowledge, no effort has been made so far to develop a comprehensive sys...