Dynamically identifying a danger zone for a predicted traffic accident
US11763677B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 2, 2020 |
| Grant date | Sep 19, 2023 |
| Priority date | — |
| Expiry date | Dec 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08G1/20
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
An approach is provided for dynamically identifying a danger zone for a predicted traffic accident and generating a warning about the accident. From a monitoring device at a first location, information about traffic conditions for vehicles at time T0 and at least one subsequent time T0+t is received. Based on speeds of the vehicles and a fixed distance from the first location, a response time is calculated. Within the response time, a dual artificial intelligence (AI) model using shallow and deep learners applied on historical accident data is employed. Based on the dual AI model and the traffic conditions, an accident involving vehicle(s) in the traffic is predicted to occur in a zone. A warning about the accident is generated and sent to device(s) in the vehicle(s). The warning is presented to driver(s) of the vehicle(s).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.