Method of verifying or deriving attribute information of a digital transport network database using interpolation and probe traces

• US 9,291,463 B2
• Filed: 12/31/2009
• Issued: 03/22/2016
• Est. Priority Date: 08/03/2009
• Status: Active Grant

• Current Assignee: Tomtom Global Content B.V (TomTom NV)
• Original Assignee: Tomtom North America Incorporated (TomTom NV)
• Inventors: Kenyon, Shaundrea Margaret Newman
• Primary Examiner(s): GEBRESENBET, DINKU W
• Application Number:
  US13/388,730
• Publication Number:
  US 20120246192A1
• Time in Patent Office: 2,273 Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/30 Map- or contour-matching
• CPC Class Codes: G01C 21/3819 Road shape data, e.g. outline of a route
• CPC Class Codes: G01C 21/3841 Data obtained from two or more sources, e.g. probe vehicles
• CPC Class Codes: G01C 21/3844 Data obtained from position sensors only, e.g. from inertial navigation
• CPC Class Codes: G06F 11/00 Error detection; Error correction; Monitoring error detection, correction or monitoring in information storage based on relative movement between record carrier and transducer G11B20/18; monitoring, i.e. supervising the progress of recording or reproducing G11B27/36; in static stores G11C29/00
• CPC Class Codes: G06F 11/3466 Performance evaluation by tracing or monitoring

Abstract

A method of verifying or filling in attribution associated with segments of transportation networks that are digitally mapped from a digital transportation network database includes analyzing the database to identify at least one attribute of interest that is missing or whose accuracy is unreliable and associated with a segment of the network in; identifying first and second segments before and after segment in question which have associated attribution determined to be accurate; gathering a plurality of probe traces from users of probe-transmitting navigation devices that have traversed the segment(s) in question as well as traversed the first and second; and determining whether the probe-derived attribution information is reliable, and if so, comparing the trend of the probe-derived attribute information of the first and second segments with the trend of the database attributes of the first and second segments, and if there is a positive correlation, applying the probe-derived attribute information to the database for the segment(s) in question to fill in the missing or verify the unreliable database attribution for the segment(s) in question.

Claims

1. A computer-implemented method of verifying or filling in at least one attribute associated with segments of transportation networks that are digitally mapped from a digital transportation network database, said method comprising:

identifying, by a processor, an attribute of interest;

identifying, by the processor, at least one segment in question of the transportation network, wherein the at least one segment in question is present in the database, but is missing the attribute of interest or for which the attribute of interest has unreliable accuracy;

using, by the processor, the at least one segment in question to identify, in the database, a first segment of the transportation network and a second segment of the transportation network, wherein the first segment is immediately preceding and connected to a front end of the at least one segment in question and the second segment is immediately succeeding and connected to a back end of the at least one segment in question, and further wherein database attribute associated with the first and second segments is determined to be accurate;

gathering, by the processor, a plurality of probe traces from users of probe-transmitting personal navigation devices that have traversed the at least one segment in question as well as traversed the first and second segments on either side of the at least one segment in question, and determining probe-derived attributes from the probe traces for the at least one segment in question, the first segment and the second segment; and

determining, by the processor, whether the probe-derived attributes are reliable, and if so, comparing the trend of the probe-derived attributes from the sequence of probe-derived attributes of the first and second segments with the trend of the database attributes from the sequence of database attributes of the first and second segments, and if there is a positive correlation, populating the database attribute of the at least one segment in question using the database attributes of the first and second segments to fill in the missing or verify the unreliable database attribute for the at least one segment in question.

2. The method of claim 1, wherein the gathered probe traces are statistically averaged over the length of the respective segments to derive a mean probe trace associated with each of the first and second segments and the at least one segment in question.

3. The method of claim 2, wherein depending on the characteristics of the attribute of interest, determining either a) the value of the attribute for each segment, or b) the value of an indicator that is functionally related to the attribute of interest.

4. The method of claim 2, wherein the attribute of interest includes anyone of:

posted speed, average speed, time-of-day based speed zones, roadway centerline location or positional accuracy, one-way traffic indications, stop signs and traffic lights.

5. The method of claim 2, wherein the attribute of interest is average speed, and the statistically averaged mean probe traces provide an average speed attribute that is correlated against the database applied speed attribute to confirm that the database applied speed attribute can be populated thru the gap or given higher confidence in the database.

6. The method of claim 2, wherein the attribute of interest is one of posted speed, time-of-day based speed zone, or one-way indication, and further wherein the statistically averaged mean probe traces provide an average speed value or travel direction value which are indicative of the posted speed, time-of-day based speed zone or oneway indication, or spatial location and determining the proportional function which converts the mean probe trace value to the probe-derived attribute value associated with either posted speed, time-of-day based speed zone, centerline position and shaping or one-way indication, and using correlation to existing database attribute to propagate the attribute on the at least one segment in question to the database.

7. The method of claim 1, wherein if it is determined that the probe-derived attribute information is unreliable across the at least one segment

in question, but still determined to be reliable across the first and second segments, and wherein the attribute of interest is posted speed or geometry position and accuracy across the at least one segment in question, then determining further whether the posted speed attributes stored in the database for the first and second segments are substantially the same value within specified limits, and if they are, determining whether the ratios of average speed across the first and second segments derived from the probe trace information versus the posted speed of the first and second segments, respectfully, are substantially that same value within specified limits, then calculating a posted speed attribute for the at least one segment of interest based on the average of the posted speed attributes of the first and second segments.

8. The method according to claim 1 wherein the steps are performed with the assistance of a computer and wherein the data are digital transformations of physical roadway attributes.

10. The method according to claim 1 further comprising portraying at least a portion of the digital map using the updated database on a display.

9. A computer-implemented method of verifying or filling in at least one attribute associated with segments of a transportation network that are digitally mapped as information of a digital transportation network database, comprising:

identifying, by a processor, an attribute of interest;

identifying, by the processor, at least one segment in question of the transportation network, wherein the at least one segment in question is present in the database, but is missing the attribute of interest or for which the attribute of interest has unreliable accuracy;

using, by the processor, the at least one segment in question to identify, in the database, a first segment immediately preceding the at least one segment in question and whose database attribute is deemed reliable and a second segment immediately succeeding the at least one segment in question and whose database attribute is deemed reliable, and wherein the first and second segments and the at least one segment in question are all part of an extended section of a common transportation network;

reporting, by the processor, data from a plurality of probe transmitters tracking across both of the first and second road segments and also across the at least one segment in question, the reported data including attribute information;

comparing, by the processor, the probe-derived attribute of the first and second road segments with the attributes stored in the database for the first and second segments and if there is a positive correlation; and

updating the database by assigning the probe-derived attribute to the database for the at least one segment in question.

11. The method according to claim 9 further comprising portraying at least a portion of the digital map using the updated database on a display.

12. A computer-readable medium which stores a set of instructions which when executed performs a method of verifying or filling in at least one attribute associated with segments of a transportation network that are digitally mapped as information of a digital transportation network database, the method executed by the set of instructions comprising:

identifying an attribute of interest;

identifying at least one segment in question of the transportation network, wherein the at least one segment in question is present in the database, but is missing the attribute of interest or for which the attribute of interest has unreliable accuracy;

using the at least one segment in question to identify, in the database, a first segment immediately preceding the at least one segment in question and whose database attribute is deemed reliable and a second segment immediately succeeding the at least one segment in question and whose database attribute is deemed reliable, and wherein the first and second segments and the at least one segment in question are all part of an extended section of a common transportation network;

reporting data from a plurality of probe transmitters tracking across both of the first and second road segments and also across the at least one segment in question, the reported data including attribute information;

comparing the probe-derived attribute of the first and second road segments with the attributes stored in the database for the first and second segments and if there is a positive correlation; and

updating the database by assigning the probe-derived attribute to the database for the at least one segment in question.