Global ETD Search
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Showing 1 to 2 of 2 for “"Kalman filtering model"”.
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Development of dynamic recursive models for freeway travel time predictions
… the development of a sound prediction model for travel times is desirable. A comprehensive literature review about existing prediction models was conducted by investigating the advantages, disadvantages, and limitations of each model. Based on the features and properties of previous …
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Development and application of dynamic models for predicting transit arrival times
… impacts on transit users. In this study, models for dynamically predicting transit arrival times in urban settings are developed, including a basic model, a Kalman filtering model, link-based and stop-based artificial neural networks (ANNs) and Neural/Dynamic (ND) models. The reliability …