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.
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Showing 1 to 20 of 21 for “"traffic dynamics"”.
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On characterisation and decomposition of internet traffic dynamics
The comprehension of backbone and edge network traffic dynamics provides the foundational element for crucial traffic engineering tasks employed by Internet Service Providers (ISPs) . These tasks include anomaly diagnosis, network capacity planning, traffic classification and Quality of Service …
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Performance Evaluation of MU-MIMO WLANs Under the Impact of Traffic Dynamics
… about their performance under the impact of traffic dynamics. In this paper, we evaluate the performance of DL MU-MIMO under the impact of traffic dynamics. Specifically we study how the system behaves under closed loop (FTP/TCP flows) and open loop traffic (UDP flows). We extend the network …
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A Deep Learning Approach to Predict Accident Occurrence Based on Traffic Dynamics
Traffic accidents are of concern for traffic safety; 1.25 million deaths are reported each year. Hence, it is crucial to have access to real-time data and rapidly detect or predict accidents. Predicting the occurrence of a highway car accident accurately any significant length of time into the …
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A Macroscopic Model for Evaluating the Impact of Emergency Vehicle Signla Preemption on Traffic
… to model the presence of EVs and simulate the traffic dynamics of the vehicles surrounding them. This study presents a macroscopic traffic model for examining the effect of signal preemption for EVs on traffic control measures, roadway capacity, and delays incurred to the vehicles on the side …
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Freeway Travel Time Estimation Based on Spot Speed Measurements
… in a certain accuracy range under various traffic conditions. The provision of real-time traffic information could offer significant benefits for commuters looking to make optimum travel decisions. The proposed research effort attempts to characterize typical variability in traffic …
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Bayesian Time Series Structure Learning: Formulation of an Event Driven Prior Distribution
… we test our developments empirically. Because traffic dynamics are comparatively accessible to common knowledge, we choose traffic time series as a test case to examine general behaviors of TIM inference and in particular our parameterization of the structure prior.
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A distributed local Kalman consensus filter for traffic estimation: design, analysis and validation
… filter (DLKCF) for large-scale multi-agent traffic density estimation. The switching mode model (SMM) describes the traffic dynamics on a stretch of roadway, and the model dynamics are linear within each mode. The error dynamics of the proposed DLKCF is shown to be globally asymptotically …
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Traffic estimation, sensing, and control in work zone environments
… of smart work zone systems from the aspects of traffic estimation, sensing, and control. To understand the impact of the sensing technologies and estimation algorithms, several hundred combinations of sensor network configurations and traffic estimation algorithms are assessed in a traffic micro …
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Development of a dynamic traffic assignment system for short-term planning applications
… it in the context of an existing dynamic traffic assignment system, DynaMIT. The methodological framework captures the day-to-day evolution of traffic. Furthermore, it models traveler behavior and network performance, in response to special events and situations such as incidents, weather …
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Simulation and queueing network model formulation of mixed automated and non-automated traffic in urban settings
… vehicles offer numerous benefits to highway traffic, but their impact on traffic in urban scenarios with mixed autonomous and non-autonomous traffic is less understood. This research addresses this issue by using microscopic traffic simulation to develop understanding of how traffic dynamics …
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Microscopic Modeling of Human and Automated Driving: Towards Traffic-Adaptive Cruise Control
… parts. The first part deals with a microscopic traffic flow theory. Models describing the individual acceleration, deceleration and lane-changing behavior are formulated and the emerging collective traffic dynamics are investigated by means of numerical simulations. The models and simulation …
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Energy efficiency in data collection wireless sensor networks
… the WSN topology redundancy to reduce the data traffic processed in critical nodes, independent of their hardware platform, improving their energy consumption and extending the network lifetime. We propose a new routing strategy that extends traditional cost-based routing protocols and improves …
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Scalability of dynamic traffic assignment
… analyze the computational performance of Dynamic Traffic Assignment (DTA) models and provides solution techniques to improve their scalability for on-line applications for large-scale networks. DTA models for real-time use provide short-term predictions of network status and generate route …
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Methodologies for integrating traffic flow theory, ITS and evolving surveillance technologies
… is to develop methodologies for applying traffic flow theories to various ITS categories through the utilization of evolving surveillance technologies. This integration of theory, measurement and application has been overlooked since the advent of ITS because of the number of disciplines …
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Modeling, Control, and Impact Analysis of The Next Generation Transportation System
… vehicles, integrating the simulation of traffic dynamics, traffic control strategies, and impact analysis at the network level.</p> <p>The first part of the dissertation is devoted to the traffic flow modeling of connected vehicles. This task is the foundation step for transportation …
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Data-driven modeling and transportation data analytics
… transportation research. Unfortunately, existing traffic models, though developed and practiced for decades, are not data driven and therefore inherently incapable of analyzing modern traffic data from multiple sources with different time resolution and spatial coverage. A new paradigm centered on …
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Understanding Traffic Congestion Through Multiscale Analysis: Sensor Deployment, Car-Following and Universal Scaling
Traffic congestion is a persistent and multifaceted problem in urban transportation systems. Its characterization requires understanding not only driver behavior and infrastructure but also the limitations of the data and models used to represent traffic dynamics. This thesis approaches the problem …
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Scalable online estimation with performance guarantees: Application to traffic network monitoring
… in cyber-physical systems, especially in traffic monitoring applications. While model-based traffic estimation has achieved great success via experimental deployments, there are substantial open questions on the theoretical understanding of the performance of these estimators. This gap is …
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Sensor-based Computing Techniques For Real-time Traffic Evacuation Management
… objective of this research is to develop a Smart Traffic Evacuation Management System (STEMS) that responds rapidly and effectively to terrorist threats or other unpredictable disasters, by creating dynamic evacuation plans adaptable to continuously changing traffic conditions based on real-time …
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Resilient operations of smart highways : platooning, ramp metering, and incident management
… in recent years due to the deployment of traffic sensing and control capabilities. In addition, the ongoing developments in connected and autonomous vehicle technology are poised to enable advanced capabilities such as platooning and vehicle-to-infrastructure communications. On one hand, …
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