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Dynamic prediction of traffic volume through Kalman filtering theory · Study

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ArticleDynamic prediction of traffic volume through Kalman filtering theory

Iwao Okutani1984

Article1984

Dynamic prediction of traffic volume through Kalman filtering theory

Iwao Okutani · Yorgos J. Stephanedes

1,115 citations·0/0 files stored·Transportation Research Part B Methodological

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Traffic Prediction and Management Techniques Transportation Planning and Optimization Traffic control and management

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2019T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results 2017LSTM network: a deep learning approach for short‐term traffic forecast 2002Comparison of parametric and nonparametric models for traffic flow forecasting 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions 1996Combining kohonen maps with arima time series models to forecast traffic flow

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Year1984

Typearticle

Published1984-02-01

VenueTransportation Research Part B Methodological

ISSN-L0191-2615

Languageen

Citations1,115

Files0 public / 0

ShelfTraffic Prediction and Management Techniques

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doi10.1016/0191-2615(84)90002-x

openalex_workW2090192376

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