Sharing safety driving metrics for navigable segments

• US 10,184,800 B2
• Filed: 05/17/2016
• Issued: 01/22/2019
• Est. Priority Date: 05/17/2016
• Status: Active Grant

• Current Assignee: HERE Global B.V. (Nokia Corporation)
• Original Assignee: HERE Global B.V. (Nokia Corporation)
• Inventors: Fowe, James, Maddineni, Pradeep
• Primary Examiner(s): Cheung, Mary
• Application Number:
  US15/156,402
• Publication Number:
  US 20170336213A1
• Time in Patent Office: 980 Days
• CPC Class Codes: B60W 10/00 Conjoint control of vehicle sub-units of different type or different function for propulsion of purely electrically-propelled vehicles with power supplied within the vehicle B60L50/00 - B60L58/00
• CPC Class Codes: B60W 2552/20 Road profile, i.e. the change in elevation or curvature of a plurality of continuous road segments
• CPC Class Codes: B60W 2552/30 Road curve radius
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 2720/10 Longitudinal speed
• CPC Class Codes: B60W 30/143 Speed control B60W30/16 takes precedence
• CPC Class Codes: B60W 50/0097 Predicting future conditions
• CPC Class Codes: G01C 21/26 specially adapted for navigation in a road network

Abstract

A method is disclosed, comprising holding available, by at least a first apparatus, data associated with each road segment of at least one road segment, said data comprising (i) a representative of a first metric associated with spatial properties associated with the respective road segment; (ii) at least one representative of a second metric associated with at least one dynamic event associated with the respective road segment; and (iii) at least one representative of a third metric associated with a speed associated with the respective road segment, and wherein the method comprises, for at least one road segment of the at least one road segment, providing, by said at least one first apparatus, a safety data of the respective road segment at least partially based on the representative of the first metric, the at least one representative of the second metric and the at least one representative of the third metric associated with the respective road segment.

Claims

1. A method, comprising:

holding available, by at least a first apparatus, data associated with each road segment of one or more road segments, said data comprising;

a representative of a first metric associated with spatial properties associated with the respective road segment, wherein the spatial properties correspond to the topology of the respective road segment based on map data;

at least one representative of a second metric associated with at least one dynamic event associated with the respective road segment, wherein the at least one dynamic event is an event corresponding to a point in time or a period of time; and

at least one representative of a third metric associated with a speed associated with the respective road segment, wherein the speed is determined based on probe data,

wherein (a) at least one of the representative of the first metric, the representative of the second metric, or the representative of the third metric corresponds to a driving difficulty of the respective road segment, (b) the one or more road segments comprise a first road segment and a second road segment, and (c) the first and second road segments are contiguous,

responsive to determining that at least one of (a) a first representative of the first metric associated with the first segment and a second representative of the first metric associated with the second segment satisfy a first similarity measure, (b) a first representative of the second metric associated with the first segment and a second representative of the second metric associated with the second segment satisfy a second similarity measure, or (c) a first representative of the third metric associated with the first segment and a second representative of the third metric associated with the second segment satisfy a third similarity measure, aggregating (i) the first and second representatives of the first metric to generate an aggregated representative of the first metric, (ii) the first and second representatives of the second metric to generate an aggregated representative of the second metric, and (iii) the first and second representatives of the third metric to generate an aggregated representative of the third metric;

aggregating the aggregated representative of the first metric, the aggregated representative of the second metric, and the aggregated representative of the third metric to generate a safety data value representative of the suitability of the first and second road segments for driving; and

providing, by said at least one first apparatus, the safety data value at least partially based on the aggregated representative of the first metric, the aggregated representative of the second metric, and the aggregated representative of the third metric associated with the respective road segment.

2. The method according to claim 1, wherein a representative of the first metric may be a value being indicative of the suitability of driving on the road segment based on spatial properties associated with the road segment, and a representative of the at least one representative of the second metric may be a value being indicative of the suitability for driving on the road segment based on the at least one dynamic event associated with the respective road segment, and wherein a representative of the at least one representative of a third metric associated with a speed associated with the respective road segment may be indicative of the suitability for driving on the road segment based on the speed associated with the respective segment.

3. The method according to claim 1, wherein said representative of the first metric indicates a measure how curvy a trajectory of the road segment is.

4. The method according to claim 1, wherein said representative of the first metric indicates a sinuosity of the road segment.

5. The method according to claim 1, wherein said determining a representative of the first metric associated with spatial properties is based on at least one angle in a trajectory of the road segment.

6. The method according to claim 1, comprising determining a representative of the first metric associated with spatial properties based on map-data associated with the respective road segment, wherein said determining the representative of the first metric associated with spatial properties is based on at least one of:

number of intersections associated with the road segment; and

number of lanes associated with the road segment.

7. The method according to claim 1, comprising determining at least one representative of the at least one representative of a second metric associated with at least one dynamic event associated with the respective road segment at least partially based on at least one set of data associated with this road segment and receiving a plurality of sets of data from at least one mobile device, wherein a set of data from the sets of data comprises at least one of:

an identifier (ID),

a timestamp (time),

velocity data,

location based data,

rating data, or

feedback data.

8. The method according to claim 7, comprising determining at least one representative of the at least one representative of a third metric associated with a speed associated with the respective road segment at least partially based on at least one set of data associated with this road segment.

9. The method according to claim 1, wherein a representative of the second metric associated with at least one dynamic event is indicative of a degree of uncertainty in safe driving of the respective road segment.

10. The method according to claim 1, wherein the at least one dynamical event comprises at least one of a:

weather event,

incident event,

venue event, or

movement of objects on the road segment.

11. The method according to claim 10, wherein said movement of objects on the road segment includes at least one of movement of pedestrians and movement of bicycles.

12. The method according to claim 1, wherein a representative of the third metric is determined based on an average speed associated with the respective road segment.

13. The method according to claim 1, wherein said method further comprising aggregating at least one third road segment that is contiguous to at least one of the first road segment and the second road segment based on the data associated with the first, second, and third contiguous road segments.

14. The method according to claim 13, wherein said aggregating is performed in a way that representatives of the first, second, and third contiguous road segments are within in a similarity measure.

15. The method according to claim 1, wherein said similarity measure is a predefined distance which is determined based on representatives of the first road segment and the second road segments based on at least one of:

a first difference or ratio between the first representative of the first metric associated with spatial properties associated with the first road segment and the second representative of the first metric associated with spatial properties associated with the second road segment;

a second difference or ratio between the first representative of the second metric associated with at least one dynamic event associated with the first road segment and the second representative of the second metric associated with at least one dynamic event associated with the second road segment; and

a third difference or ratio between the first representative of the third metric associated with a speed associated with the first road segment and the second representative of the third metric associated with a speed associated with the second road segment.

16. The method according to claim 1, comprising, for each road segment of at least one road segment of the one or more road segments, selecting at least two of:

(i) the representative of the first metric associated with spatial properties associated with the respective road segment;

(ii) the representative of the second metric associated with the at least one dynamic event associated with the respective road segment;

or

(iii) the representative of the third metric associated with the speed associated with the respective road segment;

wherein the method optionally comprises weighting at least one of the at least two selected representatives with a weighting factor before determining the safety metric.

17. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs;

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to determine an aggregated safety data of a first road segment and a second road segment, the first and second road segments being contiguous, at least partially based on;

a first first metric associated with spatial properties associated with the first road segment, wherein the spatial properties correspond to the topology of the respective road segment based on map data;

a second first metric associated with spatial properties associated with the second road segment, wherein the spatial properties correspond to the topology of the respective road segment based on map data;

a first second metric associated with at least one dynamic event associated with the first road segment, wherein the at least one dynamic event is an event corresponding to a point in time or a period of time;

a second second metric associated with at least one dynamic event associated with the second road segment, wherein the at least one dynamic event is an event corresponding to a point in time or a period of time;

a first third metric associated with a speed associated with the first road segment, wherein the speed is determined based on probe data; and

a second third metric associated with a speed associated with the second road segment, wherein the speed is determined based on probe data,

wherein at least one of the first first metric, the first second metric, or the first third metric corresponds to a driving difficulty of the first road segment,

wherein the aggregated safety data is generated by;

responsive to determining that at least one of (a) a first first metric associated with the first segment and a second first metric associated with the second segment satisfy a first similarity measure, (b) a first second metric associated with the first segment and a second second metric associated with the second segment satisfy a second similarity measure, or (c) a first third metric associated with the first segment and a second third metric associated with the second segment satisfy a third similarity measure, aggregating (i) the first and second first metrics to generate an aggregated first metric, (ii) the first and second second metrics to generate an aggregated second metric, and (iii) the first and second third metrics to generate an aggregated third metric;

aggregating the aggregated first metric, the aggregated second metric, and the aggregated third metric to generate an aggregated safety data value representative of the suitability of the respective road segment for driving.

18. The apparatus according to claim 17 wherein the at least one memory and the computer program code are configured to, with the processor, cause the apparatus to:

determine a second safety data of the second road segment at least partially based on;

the second first metric associated with spatial properties associated with the second road segment;

the second second metric associated with at least one dynamic event associated with the second road segment; and

the second third metric associated with a speed associated with the second road segment, wherein the first road segment is contiguous with the second road segment; and

aggregate the second first metric, the second second metric, and the second third metric to provide the second safety data.

19. The apparatus according to claim 17, wherein

aggregating the first and second first metrics comprises at least one of (a) averaging the first and second first metrics or (b) performing a weighted average of the first and second first metrics,

aggregating the first and second second metrics comprises at least one of (a) averaging the first and second second metrics or (b) performing a weighted average of the first and second second metrics, and

aggregating the first and second third metrics comprises at least one of (a) averaging the first and second third metrics or (b) performing a weighted average of the first and second third metrics.

20. The apparatus according to claim 17, wherein said similarity measure is a predefined distance which is determined based on at least one of:

a first difference or ratio between the first first metric associated with spatial properties associated with the first road segment and the second first metric associated with spatial properties associated with the second road segment;

a second difference or ratio between the first second metric associated with at least one dynamic event associated with the first road segment and the second second metric associated with at least one dynamic event associated with the second road segment; and

a third difference or ratio between the first third metric associated with a speed associated with the first road segment and the second third metric associated with a speed associated with the second road segment.