System for generating a recuperation energy-efficient track for the vehicle
US-2024393123-A1 · Nov 28, 2024 · US
US10037695B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10037695-B2 |
| Application number | US-201414520422-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 22, 2014 |
| Priority date | Oct 22, 2014 |
| Publication date | Jul 31, 2018 |
| Grant date | Jul 31, 2018 |
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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.
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.
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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