Methods and Systems for Generating Recommendations to make Settings at Vehicles via Cloud Systems
US-2015304406-A1 · Oct 22, 2015 · US
US10328873B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10328873-B2 |
| Application number | US-201414277145-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 14, 2014 |
| Priority date | May 14, 2014 |
| Publication date | Jun 25, 2019 |
| Grant date | Jun 25, 2019 |
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A computer implemented method includes logging vehicle startup information. The method also includes determining, via a computer, if timing commonalities exist between logged vehicle startup information instances. Further, the method includes recommending automatic vehicle startup, based on a threshold number of timing commonalities. The method also includes formulating recommended start times based on logged vehicle startup information instances having timing commonalities. The method additionally includes presenting a schedule including recommended start times to a vehicle user and scheduling automatic vehicle startups upon vehicle user acceptance of the presented schedule.
Opening claim text (preview).
What is claimed is: 1. A system comprising: a processor configured to: log vehicle start times; determine if timing commonalities exist between logged vehicle start time instances; based on a threshold number of timing commonalities, within a user-defined deviance, recommend automatic start; formulate recommended start times based on logged start time instances having timing commonalities; present a schedule including recommended start times; and schedule automatic vehicle startups upon vehicle user acceptance of the presented schedule. 2. The system of claim 1 , wherein the commonalities are defined by parameters including at least a threshold number of timing commonalities. 3. The system of claim 1 , wherein the processor is configured to instruct presentation of the schedule via a vehicle interface. 4. The system of claim 1 , wherein the startup time includes remote start time. 5. A system comprising: a processor configured to: log vehicle start times; determine if timing variances greater than a user-defined timing threshold exist between logged start times and scheduled start times; based on a user-defined threshold number of variances greater than the threshold, formulate new recommended start times based on logged vehicle startup information; present a new schedule including new recommended start times; and reschedule automatic vehicle startups upon vehicle user acceptance of the new schedule.
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