Method and structure for vehicular traffic prediction with link interactions and missing real-time data
US8755991B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 16, 2009 |
| Grant date | Jun 17, 2014 |
| Priority date | — |
| Expiry date | Jan 1, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08G1/096888
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A method and apparatus for predicting traffic on a transportation network where real time data points are missing. In one embodiment, the missing data is estimated using a calibration model comprised of historical data that can be periodically updated, from select links constituting a relationship vector. The missing data can be estimated off-line whereafter it can be used to predict traffic for at least a part of the network, the traffic prediction being calculated by using a deviation from a historical traffic on the network. The invention further discloses a method for in-vehicle navigation; and a method for traffic prediction for a single lane.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.