Uncertainty modeling in traffic demand prediction
US10636293B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 7, 2017 |
| Grant date | Apr 28, 2020 |
| Priority date | — |
| Expiry date | Oct 31, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0205
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.