Personalized route indices via crowd-sourced data

US10037695B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10037695-B2
Application numberUS-201414520422-A
CountryUS
Kind codeB2
Filing dateOct 22, 2014
Priority dateOct 22, 2014
Publication dateJul 31, 2018
Grant dateJul 31, 2018

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Abstract

Official abstract text for this publication.

Traffic incident information may be clustered to determine geographical locations in which a statistically-increased level of traffic incidents occur. Indices indicative of vehicle operating conditions within the locations may be generated according to crowd-sourced event information factors and an index function including coefficients defining contributions of the factors to the indices. The coefficients may be optimized to minimize error between the index-predicted statistically-increased level areas and the clustered traffic incident information.

First claim

Opening claim text (preview).

What is claimed is: 1. A system comprising: a vehicle processor programmed to cluster traffic incident information to determine geographical locations in which a statistically-increased level of traffic incidents occur; generate traffic incident likelihood indices predictive of traffic incidents levels within the geographic locations according to crowd-sourced event information factors and an index function including coefficients defining contributions of the information factors to the traffic incident likelihood indices, the index function being of the form Ri ( k )= f _1(geometry( k ), a _1 , . . . ,a _ n )+ f _2(weather( k ), a _( n+ 1), . . . , a _ m )+ f _3(crowd data( k ), a _( m+ 1), . . . , a _ l ), where Ri represents the traffic incident likelihood indices, k represents the geographic locations for which the indices Ri are being calculated, f 1 represents a function of road geometry information, f 2 represents a function of weather conditions, f 3 represent a function of the crowd-sourced event information, and a 1 , . . . , a l represent the coefficients defining contributions used to weight the factors in creation of the indices Ri; and optimize the coefficients to minimize error between the indices Ri and the clustered traffic incident information; and generate traffic incident likelihood alerts responsive to the traffic incident likelihood indices exceeding a threshold level of traffic incident likelihood. 2. The system of claim 1 , wherein the crowd-sourced event information includes at least two of traffic data, environment data, road type data, human factor data, and vehicle parameter data. 3. The system of claim 1 , wherein the factors include hard braking events and hard steering events. 4. The system of claim 1 , wherein the vehicle processor is further configured to optimize the coefficients according to historical crowd-sourced event information of a specific vehicle driver to determine coefficients configured to generate indices optimized for the driver. 5. The system of claim 1 , wherein the traffic incident information further includes traffic incidents identified according to the crowd-sourced event information. 6. The system of claim 1 , wherein the vehicle processor is included in an index server device further configured to receive the crowd-sourced event information over a wide area network from a plurality of vehicles. 7. The system of claim 1 , wherein the vehicle processor is further configured to: receive a request for an index for a geographic location from a vehicle; and provide the index to vehicle according to the index function and coefficients. 8. The system of claim 7 , wherein the geographic location is a current geographic area in which the vehicle is located.

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Classifications

  • for classifying traffic situation · CPC title

  • for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range · CPC title

  • where the received information does not generate an automatic action on the vehicle control · CPC title

  • for traffic information dissemination · CPC title

  • where the origin of the information is a central station · CPC title

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What does patent US10037695B2 cover?
Traffic incident information may be clustered to determine geographical locations in which a statistically-increased level of traffic incidents occur. Indices indicative of vehicle operating conditions within the locations may be generated according to crowd-sourced event information factors and an index function including coefficients defining contributions of the factors to the indices. The c…
Who is the assignee on this patent?
Ford Global Tech Llc
What technology area does this patent fall under?
Primary CPC classification G08G1/096775. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jul 31 2018 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).