Estimation of time-varying origin-destin
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Yang Hai; T. Akiyama; T. Sasaki
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Article
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1998
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Elsevier Science
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English
β 930 KB
A dynamic model based on the error back-propagation learning principle in neural network theory ie proposed for estimating origin-destination flows from the road entering and exiting counts in a transportation network. The origin-destination flows in each short time interval are estimated through mi