Driving assistant system of vehicle and method for controlling the same
US-2016280264-A1 · Sep 29, 2016 · US
US11237007B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11237007-B2 |
| Application number | US-201916299815-A |
| Country | US |
| Kind code | B2 |
| Filing date | Mar 12, 2019 |
| Priority date | Mar 12, 2019 |
| Publication date | Feb 1, 2022 |
| Grant date | Feb 1, 2022 |
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An apparatus and method are disclosed for calculation of a dangerous road strand of a roadway. Probe data for a roadway having multiple lanes is identified. A subset of the probe data for a predetermined lane is selected and values for a change in velocity for multiple sequences in the subset of probe data are calculated. Based on clustering for the change in velocity and a danger value, the dangerous road strand is identified. The dangerous road strand is stored in a geographic database in association with the lane for the roadway.
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I claim: 1. A method for identifying a road strand, below a baseline safety level, of a roadway to reduce driving errors or accidents, the method further comprising: identifying probe data for a roadway having a plurality of lanes; selecting a subset of the probe data for a predetermined lane of the plurality of lanes; calculating values for a change in velocity between a first velocity and a second velocity, over a predetermined time interval or a predetermined distance interval, for multiple sequences in the subset of the probe data; clustering values for the change in velocity between the first velocity and the second velocity, over a predetermined time interval or a predetermined distance interval, based on a danger value; identifying the road strand, below the baseline safety level, from the clustered values; and storing the road strand, below the baseline safety level, in a geographic database in association with the predetermined lane for the roadway. 2. The method of claim 1 , further comprising: receiving an external measurement associated with the probe data. 3. The method of claim 2 , wherein the subset of the probe data is selected for the predetermined lane based on the external measurement. 4. The method of claim 2 , wherein the external measurement is weather or road conditions. 5. The method of claim 1 , wherein each of the multiple sequences in the subset of the probe data include a series of probe data collected by one probe. 6. The method of claim 1 , wherein clustering values for the change in velocity between the first velocity and the second velocity, over a predetermined time interval or a predetermined distance interval, based on the danger value comprises: comparing location data for the multiple sequences in the subset of the probe data; comparing danger values for the multiple sequences in the subset of the probe data; and identifying a cluster when the location data falls within a predetermined range and the danger values fall within a predetermined range. 7. The method of claim 1 , wherein identifying the road strand, below the baseline safety level, from the clustered values comprises: determining one or more road segments in response to the clustered values. 8. The method of claim 1 , further comprising: generating a map including a first designation for the identified road strand, below the baseline safety level, and a second designation for another portion of the roadway. 9. The method of claim 8 , wherein the first designation and the second designation are different colors. 10. The method of claim 1 , further comprising: assigning a cost to the road strand, below the baseline safety level, wherein the cost corresponds to a comparison of road segments by a routing algorithm. 11. The method of claim 1 , further comprising: calculating a route from an origin to a destination including at least one instruction in response to the road strand, below the baseline safety level. 12. The method of claim 1 , further comprising: generating a warning in response to the road strand, below the baseline safety level. 13. An apparatus for identifying map data including at least one road strand, below a baseline safety level, of a roadway to reduce driving errors or accidents, the apparatus further comprising: a road network module configured to identify probe data for a roadway having a plurality of lanes and select a subset of the probe data for a predetermined lane of the plurality of lanes; a speed comparison module configured to calculate values for a change in velocity between a first velocity and a second velocity, over a predetermined time interval or a predetermined distance interval, for multiple sequences in the subset of the probe data; a clustering module configured to cluster values for the change in velocity between the first velocity and the second velocity, over a predetermined time interval or a predetermined distance interval, based on a sudden braking value; and a road strand module configured to identify the road strand, below the baseline safety level, from the clustered values. 14. The apparatus of claim 13 , further comprising: a geographic database configured to store the road strand, below the baseline safety level, in a geographic database in association with the predetermined lane for the roadway. 15. The apparatus of claim 13 , further comprising: an annunciator configured to provide a warning in response to the road strand, below the baseline safety level. 16. The apparatus of claim 13 , wherein the clustering module is configured to filter values for the change in velocity between the first velocity and the second velocity, over a predetermined time interval or a predetermined distance interval, based on an external measurement for weather or road conditions associated with the probe data. 17. The apparatus of claim 13 , wherein the road strand module is configured to calculate the sudden braking value (SB) according to a relationship, SB=|AD|* F÷Q, wherein an average deceleration (AD) is the change in velocity, a frequency (F) is a number of clustered measurements and a trajectory quantity (Q) is a number of total probes. 18. A non-transitory computer readable medium for identifying a road strand, below a baseline safety level, of a roadway to reduce driving errors or accidents, the medium including instructions that when executed by a processer are configured to perform: identifying probe data for a roadway having a plurality of lanes; clustering values for a change in velocity between a first velocity and a second velocity, over a predetermined time interval or a predetermined distance interval, based on the probe data; identifying a lane for the plurality of lanes for a road strand, below the baseline safety level, from the clustered values; and storing the road strand, below the baseline safety level, in a geographic database in association with the identified lane for the roadway. 19. The non-transitory computer readable medium of claim 18 , wherein the identified probe data is filtered for a weather condition or a road condition. 20. A method for identifying a road strand, below a baseline safety level, of a roadway to reduce driving errors or accidents, the method comprising: identifying probe data for a roadway having a plurality of lanes; selecting a subset of the probe data for a predetermined lane of the plurality of lanes; calculating values for a change in velocity for multiple sequences in the subset of the probe data; calculating a danger value (DV) according to a relationship, DV=|AD|*F÷Q, wherein an average deceleration (AD) is the change in velocity, a frequency (F) is a number of clustered measurements and a trajectory quantity (Q) is a number of total probes; clustering values for the change in velocity based on the danger value; identifying the road strand, below the baseline safety level, from the clustered values; and storing the road strand, below the baseline safety level, in a geographic database in association with the predetermined lane for the roadway.
Data obtained from two or more sources, e.g. probe vehicles · CPC title
Road data · CPC title
where the origin of the information is a central station · CPC title
for traffic information dissemination · CPC title
Geographical information databases · CPC title
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