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 4 of 4 for “"Traffic Speed Prediction"”.
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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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Predicting Traffic Speed and Recommending Optimal Routes using GPS Data: A Smart Navigation System for Commuters
Traffic congestion continues to 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 …
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Deep Learning Models for Traffic Prediction in Urban Transport Networks.
… long travel time, increasingly persistent traffic congestion, accidents and road safety concerns. The research work in this thesis aims to predict traffic in urban transport networks which are capable of solving those issues. Understanding and control of traffic patterns are fundamental …
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Integrated traffic analysis and visualization for future road events
The existing traffic simulation methods are limited to specific synthetic scenarios. In addition, the natural structure of traffic and accident data requires modeling the dependent observations on multiple levels. Therefore, a system that utilizes hierarchical LMMs and GBM models are proposed which …