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ESTIMATION OF ORIGIN-DESTINATION MATRICES FROM LINK TRAFFIC COUNTS CONSIDERING THE INTERACTION OF THE TRAFFIC MODES

✍ Scribed by Shogo Kawakami; Huapu Lu; Yasuhiro Hirobata

Book ID
110918699
Publisher
Springer
Year
2005
Tongue
English
Weight
476 KB
Volume
71
Category
Article
ISSN
1056-8190

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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