Method and apparatus for road risk indices generation

US9519670B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9519670-B2
Application numberUS-201414473272-A
CountryUS
Kind codeB2
Filing dateAug 29, 2014
Priority dateAug 29, 2014
Publication dateDec 13, 2016
Grant dateDec 13, 2016

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

A system includes a processor configured to gather historical risk-affecting data with respect to a current road. The processor is also configured to gather current risk-affecting data with respect to the current road. Further, the processor is configured to generate a baseline risk index for the road based on the historical data. The processor is additionally configured to modify the baseline risk index based on the current data and provide a risk index value for the current road based on the modified baseline risk index

First claim

Opening claim text (preview).

What is claimed is: 1. A system comprising: a processor configured to: gather historical accident-risk-affecting data and current accident-risk-affecting conditions with respect to a current road; weight an effect that the conditions have on a known driver, based on a driver profile storing observed effects on driving behavior under similar conditions; generate a risk value, representing an accident likelihood, for the driver, based on the historical data and the weighted effect; and present the risk value to the driver. 2. The system of claim 1 , wherein the historical accident-risk-affecting data includes road data. 3. The system of claim 1 , wherein the current accident-risk-affecting conditions includes current road conditions. 4. The system of claim 1 , wherein the historical accident-risk-affecting data includes traffic data. 5. The system of claim 1 , wherein the current accident-risk-affecting conditions includes current traffic conditions. 6. The system of claim 1 , wherein the historical accident-risk-affecting data includes environmental data. 7. The system of claim 1 , wherein the current accident-risk-affecting conditions includes current environmental conditions. 8. The system of claim 1 , wherein the current accident-risk-affecting conditions includes a current vehicle operator state. 9. The system of claim 1 , wherein the historical accident-risk-affecting data includes vehicle system state data. 10. The system of claim 1 , wherein the current accident-risk-affecting conditions includes current vehicle system conditions. 11. The system of claim 1 , wherein the processor is further configured to generate the risk value based on observed effects of the historical risk-affecting data with respect to the current road. 12. The system of claim 1 , wherein the processor is further configured to generate the risk value based on observed effects of the historical risk-affecting data with respect to roads having similar characteristics to the current road. 13. A computer-implemented method comprising: gathering historical accident-risk-affecting data and current accident-risk-affecting conditions with respect to a current road; weighting an effect that the conditions have on a known driver, based on a driver profile storing observed effects on driving behavior under similar conditions; generating a risk value, representing an accident likelihood, for the driver, based on the historical data and the weighted effect; and presenting the risk value to the driver. 14. A non-transitory machine-readable storage medium, storing instructions that, when executed, cause a processor to perform a method comprising: gathering historical accident-risk-affecting data and current accident-risk-affecting conditions with respect to a current road; weighting an effect that the conditions have on a known driver, based on a driver profile storing observed effects on driving behavior under similar conditions; generating a risk value, representing an accident likelihood, for the driver, based on the historical data and the weighted effect; and presenting the risk value to the driver.

Assignees

Inventors

Classifications

  • Physics · mapped topic

  • Physics · mapped topic

  • from the vehicle, e.g. floating car data [FCD] · CPC title

  • for creating historical data or processing based on historical data · CPC title

  • Selection or weighting of terms for indexing · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US9519670B2 cover?
A system includes a processor configured to gather historical risk-affecting data with respect to a current road. The processor is also configured to gather current risk-affecting data with respect to the current road. Further, the processor is configured to generate a baseline risk index for the road based on the historical data. The processor is additionally configured to modify the baseline …
Who is the assignee on this patent?
Ford Global Tech Llc
What technology area does this patent fall under?
Primary CPC classification G06F17/30336. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Dec 13 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).