Admission control aims to compensate for the inability of slowchanging network configurations to react rapidly enough to load fluctuations. Even though many admission control approaches exist, most of them suffer from the fact that they are based on some very rigid assumptions about the perflow and aggregate underlying traffic models, requiring manual reconfiguration of their parameters in a “t...

A polymorphic dynamic network loading (PDNL) model is developed and discretized to integrate a variety of macroscopic traffic flow and node models. The polymorphism, realized through a general node-link interface and proper discretization, offers several prominent advantages. First of all, PDNL allows road facilities in the same network to be represented by different traffic flow models based o...

Our goal is to design a traffic model for noncongested Internet backbone links, which is simple enough to be used in network operation, while being as general as possible. The proposed solution is to model the traffic at the flow level by a Poisson shotnoise process. In our model, a flow is a generic notion that must be able to capture the characteristics of any kind of data stream. We analyze ...

Abstract We present an artificial workload model of wide-area internetwork traffic. The model can be used to drive simulation experiments of communication protocols and flow and congestion control experiments. The model is based on analysis of wide-area TCP/IP traffic collected from one industrial and two academic networks. The artificial workload model uses both detailed knowledge and measured...

This paper discusses the definition of simple dimensioning rules for high speed IP access networks carrying data traffic. We notably provide formulas relating capacity, demand and performance allowing dimensioning for a target quality of service expressed in terms of useful per-flow throughput. These formulas derive from a data traffic model equivalent of the Engset model for telephone access n...

Keeping the density of traffic flow and air pollution in an acceptable level and developing a good capacity for transit in the high priority areas of the city, is really a big deal in large and crowded cities. To address this problem, a new method of intersection signal optimization is presented in this paper. Based on network fundamental diagrams, an Internal–External Traffic Metering Strategy...

Large-scale Modeling and Optimization of En Route Air Traffic Flow by Dengfeng Sun Doctor of Philosophy in Engineering-Civil and Environmental Engineering University of California at Berkeley Professor Alexandre M. Bayen, Chair The research presented in this dissertation is motivated by the need for balancing the increasing demand and limited capacity of the National Airspace System (NAS), and ...

As an important part of urban big data, traffic flow data play a critical role in management and emergency response. Traffic contain multi-mode characteristics, which need to be deeply mined. To make full use we 3-order tensor represent the considering “temporal-spatial-periodic” characteristics. recover missing flow, propose Missing Data Completion Algorithm Based on Residual Value Tensor Deco...

Eco-driving is an initiative driving behavior which aims to reduce fuel consumption and emissions from automobiles. Recently, it has attracted increasing interests and has been adopted by many drivers in Australia. Although many of the studies have revealed considerable benefits in terms of fuel consumption and emissions after utilising eco-driving, most of the literature investigated eco-drivi...

Handheld devices such as smartphones have become a major platform for accessing Internet services. The small, mobile nature of these devices results in a unique mix of network usage. Other studies have used Wi-Fi and 3G wireless traces to analyze session, mobility, and performance characteristics for handheld devices. We complement these studies through our unique study of the differences in th...