Learning mobility user choice and demand models from public transport fare collection data
US10019671B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 12, 2015 |
| Grant date | Jul 10, 2018 |
| Priority date | — |
| Expiry date | Oct 11, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08G1/207
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
A method and system are disclosed for learning a demand model and simulation parameters from validation information. Validation information is received from automatic fare collection systems and trips are reconstructed from the validation information. Origins, destinations, and arrival/departure times are estimated from the reconstructed trips. A demand model is then generated from the origins, destinations, and times. Assignment model parameters are then learned from the received validation information and demand model via iterative simulations. Infrastructure changes are made to a simulated transportation network based on the assignment and demand model using the learned parameters. A simulated response of the transportation network to the infrastructure change is then output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.