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 36 for “"Traffic networks"”.
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Hybrid optimization in traffic networks
Thesis: M.S., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1979
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Modeling travel time uncertainty in traffic networks
… and manage congestion in transportation networks. Models that incorporate uncertainty in travel time need to specify two mechanisms: the mechanism through which travel time uncertainty is generated and the mechanism through which travel time uncertainty influences users' behavior. …
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Toward sustainable networking : coded storage and high-traffic networks
… into those that can be modeled as static, or as traffic-agnostic, and those that are modeled as high-traffic networks, which experience significant traffic congestion. Prior work on coded storage has focused on code construction and traffic-agnostic performance analysis. " Traffic-agnostic coded …
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A Cloud-Based Visual Simulation Environment for Traffic Networks
… a Cloud-based visuAl simulatioN enVironment for trAffic networkS (CANVAS), providing a framework that tackles challenges on the cloud-based visual simulation tools. CANVAS offers a set of tools for the composition and visualization of simulation models for the traffic network problem domain. …
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The design and simulation of traffic networks in virtual environments
… disciplines have been studying the behaviour of traffic flow to better understand the causes of traffic congestion, accidents, and related phenomena. As the global population continues to rise, there is an increasing demand for more efficient and effective transportation infrastructures that are …
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Monitoring and control of extreme congestion events in road traffic networks
This thesis addresses the problem of traffic management during extreme traffic congestion events. In particular, it describes the development of a new traffic sensing technology called TrafficTurk that is capable of being deployed through multiple temporary sensors quickly over an entire road …
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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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Time-dependent networks : data representation techniques and shortest path algorithms with applications to transportation problems
… of fastest paths in continuous-time dynamic networks. We apply these methods for the following application problems: storage and communication of discrete-time dynamic transportation network data, and computation of fastest paths in traffic networks with signalized intersections. These …
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Resilience of transportation network during post-earthquake emergency response and recovery stages
… damages and significantly disrupt transportation networks. Disrupted transportation networks resulting from damaged bridges or debris may cause delays on emergency response activities and impact traffic efficiency and safety during the post-earthquake recovery stage. A functioning post-hazard …
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Development of a methodology to interface transportation planning and traffic simulation
… to interface transportation planning and traffic simulation. Differences in representations of planning and traffic networks prohibits planners and engineers from sharing the input data for the same area being studied. Therefore the planning data need to be utilized to create data that the …
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Neural bus networks
… This problem can be solved by modeling the traffic network, and delivering predicted arrival times to passengers. Research attempts to model traffic networks use historical, statistical and learning based models, with learning based models achieving the best results. This research compares …
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String Stable Constant-Spacing Platoon with Robustness to Communication Delays and Cutoff
… control strategy for connectedautonomous vehicle networks with robustness to communication delays and cutoff. It is well-known that decentralized constant-spacing strategies cannot achieve string stability, which requires the error to decrease as it propagates downstream. Introducing a centralized …
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A comparison of discrete and flow-based models for air traffic flow management
The steady increase of congestion in air traffic networks has resulted in significant economic losses and potential safety issues in the air transportation. A potential way to reduce congestion is to adopt efficient air traffic management policies, such as, optimally scheduling and routing air …
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Calibration of the demand simulator in a dynamic traffic assignment system
… and driver route choice models within a Dynamic Traffic Assignment (DTA) system using several days of traffic sensor data. The methodology for the calibration of the O-D estimation module is based on an existing framework adapted to suit the sensor data usually collected from traffic networks. …
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STREETS: a benchmark dataset for suburban traffic forecasting
… we introduce and benchmark STREETS, a novel traffic flow dataset from publicly available web cameras in the suburbs of Chicago, IL. STREETS addresses multiple limitations of existing vehicular traffic datasets. Many current datasets lack a coherent traffic network graph to describe the …
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A stochastic mesoscopic cell-transmission model for operational analysis of large-scale transportation networks
… an operations model for analysis of large-scale traffic networks. Because of its macroscopic / mesoscopic features, CTM offers calibration and computational advantages over microscopic models. This study presents a series of enhancements to the original form of CTM. These enhancements show …
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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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Bayesian estimation of self-similarity exponent
… finance and human sciencies to hydrologic and traffic networks. Such rich classes of possible applications obligates researchers to investigate qualitatively new methods for estimation of the self-similarity exponent as well as identification of long-range dependencies (or long memory). In this …
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Generalised proportional-integral-plus control
… growth experiments; the control of a Statistical Traffic Model simulation of interurban traffic networks; and, finally, the control of the multivariable Shell heavy oil fractionator simulation.
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