Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 81 for “"traffic flows"”.
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CLASSIFYING TCP NETWORK TRAFFIC FLOWS VIA TRAFFIC INTERACTION GRAPHS AND MACHINE LEARNING
Detecting malicious traffic on networks is a critical problem facing the Department of Defense. In this thesis we utilize cutting edge machine learning techniques to detect malicious network traffic. We begin with two real-world datasets. First, real internet traffic collected on the NPS Enterprise …
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Automated identification of terminal area air traffic flows and weather related deviations
Air traffic in terminal air space is very complex, making it very difficult to identify air traffic flows. Finding air traffic flows and flow boundaries are very helpful in analyzing how air traffic would react to weather. This thesis created the Terminal Traffic Flow Identifier algorithm to solve …
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Data-driven modeling of air traffic flows for advanced Air Traffic Management
The Air Traffic Management (ATM) system enables air transportation by ensuring a safe and orderly air traffic flow. As the air transport demand has grown, ATM has become increasingly challenging, resulting in high levels of congestion, flight delays and environmental impacts. To sustain the …
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Models and algorithms for the optimization of traffic flows and emissions using dynamic routing and pricing
… of models and algorithms for the optimization of traffic flows and emissions via routing and pricing in dynamic traffic networks. A set of problems that arise in this context are studied. These include: (1) the development of a probabilistic approach to model acceleration, (2) the study of the …
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Traffic and performance evaluation for optical networks. An Investigation into Modelling and Characterisation of Traffic Flows and Performance Analysis and Engineering for Optical Network Architectures.
… and to propose new ones. The analysis of the traffic characteristics of an OC-192 link (9953.28 Mbps) is initially conducted, a requirement due to the discovery of self-similar long-range dependent properties in network traffic, and the suitability of the GE distribution for modelling …
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Machine learning for network traffic classification under labeled data and training time constraints
… learning (including deep learning) for network traffic classification when constrained by too little labeled data or insufficient time to train models from scratch. Network traffic classification is essential in network security, network management, and application identification. Labeling …
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Development and Evaluation of a Simulation System Based Upon Standard Pedestrian Thoroughfare Methodologies
… could be used to analyze and model pedestrian traffic flows. The study incorporates the Highway Capacity Manual 2000 (HCM) (Transportation Research Board, National Research Council [TRB], 2000a) methodologies into a ProModel simulation and then compares and contrasts the results of the HCM …
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Urban transportation networks : analytical modeling of spatial dependencies and calibration techniques for stochastic traffic simulators
… We present its use to address an urban traffic control problem, and show the added value of accounting for higher-order spatial between-queue dependency information in the control of congested networks. A second, distinct goal of this thesis is to examine the calibration of route choice …
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Network traffic measurement for the next generation internet
… performance evaluation of network traffic is a fundamental prerequisite for the provisioning of managed and controlled services in short timescales, as well as for enabling the accountability of network resources. The steady introduction and deployment of the Internet Protocol Next …
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Modeling travel time uncertainty in traffic networks
… uncertainty influences users' behavior. Existing traffic equilibrium models are not sufficient in capturing these two mechanisms in an integrated way. This thesis proposes a new stochastic traffic equilibrium model that incorporates travel time uncertainty in an integrated manner. We focus on how …
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A control problem for Burgers' equation
… as shock waves, supersonic flow about airfoils, traffic flows, acoustic transmission, etc. For high Reynolds number, the open-loop system (no control) produces steep gradients due to the nonlinear nature of the convection. The steep gradients are stabilized by feedback control laws. In this …
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Impact assessment through microscopic simulation: a sustainable approach to improving traffic congestion
… into the PTV Vissim software, and peak-hour traffic congestion and patterns are investigated. This thesis focuses on the influence of travel time on urban mobility and transport planning. The results reveal the need for innovative solutions to enhance traffic flows along the N2 highway …
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Scalable Bandwidth Management in Software-Defined Networks
… demand to manage bandwidth as the network traffic increases. Network applications such as real time video streaming, voice over IP and video conferencing in IP networks has risen rapidly over the recently and is projected to continue in the future. These applications consume a lot of …
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Network intrusion prevention in the evolved packet core utilising software defined networks and network function virtualisation
… fundamental infrastructures in modern life. As traffic volumes rise and subscriber needs are expanding, MNOs need to adapt in order to keep up with the demand. This has led to MNOs virtualising the Core Network (CN) by utilising Software Defined Networking (SDN) and Network Functions …
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Robust transportation network design under user equilibrium
… software, when the costs are linear functions of traffic flows. We then use an iterative algorithm to address the case of nonlinear cost functions. While the problem is intractable under probabilistic assumptions on demand uncertainty, we extend the previous model and propose an iterative …
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Enhancing OSPF to provide adaptive traffic distribution with networks for improved QoS performance
… over networks, which generates increased trafficdemands. In short, future networks will not only comprise multiple, interconnected datatransport platforms but will also need to handle an increasing range of distributedmultimedia services, delivered to a diverse user community that is …
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The network design problem: The traffic-responsive signal control scheme
… to the Network Design Problem (NDP): the Traffic-Responsive Signal Control (TRSC) scheme. The TRSC scheme considers the effect of signal controls on traffic flows in the standard traffic assignment problem through the integration of traffic control and traffic assignment submodels. …
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Moment-linear stochastic systems and their applications
… potential applications for MLSN-in such areas as traffic flow modeling, queueing, and stochastic automata modeling-are explored. Fur- ther, we exploit the quasi-linear structure of MLSS and MLSN to analyze their asymptotic dynamics, and to construct linear minimum mean-square-error estimators and …
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Estimation of origin-destination flows for dynamic traffic assignment
… estimation is a critical component of a Dynamic Traffic Assignment system in that it determines the frequencies of drivers' trips through a network. The OD estimation method presented here allows for tunable optimization to three classes of objectives: Assigned traffic flows, deviation from …
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Transit signal priority strategies : impacts and effects of various factors
… potential of doing so without disturbing general traffic flows. In this dissertation, an evaluation of the overall state of practice for TSP is conducted to upgrade the quality of TSP. Certain parameters were found to be significant in TSP performance, like: transit occupancies, transit arrival …
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