Uncertainty modeling in traffic demand prediction

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United States of America Patent

PATENT NO 10636293
APP PUB NO 20180357892A1
SERIAL NO

15616089

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Abstract

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The disclosure involves a method comprising clustering a plurality of observation samples related to historical travel demands into one or more clusters; for each cluster, constructing an actual probability distribution of the historical travel demands corresponding to the observation samples in the cluster; for each cluster, inputting observation samples in the cluster into a prediction model for predicting future travel demands to produce a result of prediction; for each cluster, computing a predicted probability distribution of the historical travel demands corresponding to the observation samples in the cluster based on the result of prediction; for each cluster, evaluating a difference between the actual probability distribution and the predicted probability distribution of the cluster; and modifying the prediction model so that a statistical sum of the differences for the one or more clusters is decreased.

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Patent OwnerAddress
INTERNATIONAL BUSINESS MACHINES CORPORATIONNEW ORCHARD ROAD ARMONK NY 10504

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Dong, Wei Shan Beijing, CN 52 454
Gao, Peng Beijing, CN 239 1262
Sun, Wei Beijing, CN 748 4755
Yan, Jun Chi Shanghai, CN 31 70
Zhang, Shi Lei Beijing, CN 54 707
Zhang, Xin Beijing, CN 784 3671
Zhu, Jun Shanghai, CN 650 4342

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