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 14 of 14 for “"speed prediction"”.
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A deep learning approach to real-time short-term traffic speed prediction with spatial-temporal features
… Transportation Systems (ITS), accurate traffic speed prediction plays an important role in traffic control and management. The study on the prediction of traffic speed has attracted considerable attention from many researchers in this field in the past three decades. In recent years, deep …
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Spatial-Temporal Multivariate Time Series Forecasting Using Graph Neural Networks, with an Application to Traffic Speed Prediction
… that addresses the challenges of time series prediction, while also providing unique insights through decomposition of model outputs in the spatio-temporal space. We apply our method to the problem of traffic speed prediction, using benchmark datasets that we curate from Caltrans Performance …
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Short-Term Wind Speed Time Series Forecasting Using Artificial Neural Networks
… parts of modern power networks. Short-term wind speed prediction is crucial for smart grids, as it can help balance the demand and supply, as well as set the energy price in the market.</p> <p>In this thesis, we simulate and compare various neural network models for short-term wind speed …
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Predicting Traffic Speed and Recommending Optimal Routes using GPS Data: A Smart Navigation System for Commuters
… be a major challenge for commuters, as current prediction and route recommendation systems often fall short due to limitations in the data they rely on. Many of these systems depend on simulated traffic data that lack real-world complexities or traditional sensors that provide only limited …
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Deep Learning Models for Traffic Prediction in Urban Transport Networks.
… For this, we develop a short-term traffic flow prediction model, named EM, on linear roadways based on machine learning technology. EM is able to analyse and extract spatial and temporal features from original traffic data for the final prediction. This short-term traffic prediction could give …
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Wind Speed Forecasting for Power Generation Using a Self-Assembling Closed-Loop Recurrent Neural Network
… as a time series forecasting method for wind speed prediction. We compare its multi-step prediction performance against a proven recurrent neural network, NARX (Non-linear Auto-Regressive neural network with eXogenous inputs), on several univariate and multivariate time series, including …
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Traffic impact assessment and mitigation strategies for disruptions
… of planned work zones. Second, traffic flow and speed prediction models were developed for work zones in order to assist with the better scheduling of work activity. Machine learning approaches were used to develop the prediction models. In addition to work zone effects, the effects of another …
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Integrated traffic analysis and visualization for future road events
… status; (2) a robust spatiotemporal traffic speed prediction model that integrates the impact of road accident with the prediction model to adaptively predict the future traffic status in response to this accident; (3) a traffic simulation tool to present the future traffic status. Our system …
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Incorporating Vehicle Emission Models into the Highway Design Process
… The researcher generated second-by-second speed profiles using the speed prediction models and non-uniform acceleration/deceleration models, and extracted the fuel consumption and emissions rates based on vehicle specific powers and speeds using recently developed motor vehicle emission …
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Application of Deep Learning in Intelligent Transportation Systems
… applications such as traffic flow and speed prediction. Accordingly, my main objective in this dissertation is to develop state-of-the-art deep learning architectures for resolving the transport-related applications that have not been treated by deep learning architectures in much …
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Development of a high-speed rotating bar mechanism
A high-speed rotary device was designed to generate shock waves in a transonic blowdown wind tunnel cascade. The rotary device (Rotating Bar Mechanism) will be used in research conducted at Virginia Tech to study the effects of unsteady aerodynamic flow and heat transfer (resulting from upstream …
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Experimental and numerical investigations on wind characteristics and wind induced vibrations of bridge structures
… this research acquires the high frequency wind speed data for the process of tropical cyclone and monsoon wind. Wind characteristics are studied systematically with wind data collected. Furthermore, the comparative study of stationary and non-stationary models, which is established with a …
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A Continuum Kinetic Investigation into the Role of Transport Physics in the Bohm Speed formulation
… when the ions enter the sheath with a speed equal to or greater than the `Bohm speed'. The Bohm speed is a landmark result in sheath theory and various mathematical expressions for it have been derived from fluid and kinetic treatment of plasmas. Although these models are widely used, …
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Entwurfstechnische Grundlagen für ein Fahrerassistenzsystem zur Unterstützung des Fahrers bei der Wahl seiner Geschwindigkeit
… erhöht werden. Das Fahrerassistenzsystem Speed Control verbindet die Ergebnisse der Forschungsarbeiten der letzten Jahre aus dem Bereich des Straßenentwurfs und der Fahrzeugtechnik. Dieses System warnt den Kraftfahrer vor sicherheitskritischen Stellen in der Linienführung von …