Mobility and transportation need generator using neural networks
US11816179B2 · kind B2 · utility
1Cited by
5References
18Claims
0Family size
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Key dates
| Filing date | Mar 25, 2020 |
| Grant date | Nov 14, 2023 |
| Priority date | — |
| Expiry date | Apr 11, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, software tool, and system for generating realistic synthetic ride-requests associated with a mobility or transportation service, including: utilizing a generative adversarial network, learning the spatial-temporal distribution of a plurality of real ride-requests; and, utilizing the generative adversarial network and based on the learning step, generating one or more synthetic source and destination ride-request geolocations that retain a statistical distribution of the plurality of real ride-requests. The generative adversarial network is a Wasserstein generative adversarial network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.