TRAVEL PATTERN INFORMATION OBTAINING DEVICE, TRAVEL PATTERN INFORMATION OBTAINING METHOD, AND TRAVEL PATTERN INFORMATION OBTAINING PROGRAM

• US 20100324806A1
• Filed: 02/16/2009
• Published: 12/23/2010
• Est. Priority Date: 03/27/2008
• Status: Active Grant

• Current Assignee: Aisin AW Company Limited (Aisin Corp.)
• Original Assignee: Aisin AW Company Limited (Aisin Corp.)
• Inventors: Ishikawa, Hiroki
• Granted Patent: US 8,417,443 B2
• Time in Patent Office: Days
• US Class Current: 701/119
• CPC Class Codes: G08G 1/0104 Measuring and analyzing of parameters relative to traffic conditions
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/096811 where the route is computed offboard
• CPC Class Codes: G08G 1/096844 where the complete route is dynamically recomputed based on new data

Abstract

Vehicle speed identification information for identifying vehicle speed of a vehicle on a road is obtained for a plurality of vehicles. Based on a distribution of the vehicle speed identification information, the vehicle speed identification information is classified into groups corresponding to motions of the vehicle. An occurrence probability of a motion of the vehicle is obtained based on the classification.

Claims

1. A travel pattern information obtaining device comprising:

a vehicle speed identification information obtaining unit for obtaining vehicle speed identification information in order to identify vehicle speed of a vehicle on a road for a plurality of vehicles;

a vehicle speed identification information classifying unit for classifying the vehicle speed identification information into a group corresponding to a motion of the vehicle, based on a distribution of the vehicle speed identification information; and

a motion occurrence probability obtaining unit for obtaining an occurrence probability of the motion of the vehicle, based on the classification characterized in that

the vehicle speed identification information obtaining unit obtains the vehicle speed identification information of a plurality of road sections, respectively, that are consecutive between two preset points, the vehicle speed identification information indicating the vehicle speed or required time of the road sections,

the vehicle speed identification information classifying unit classifies the vehicle speed identification information of each of the road sections into the group which is defined such that the group in a certain road section is dependent on the group in a previous road section of the certain road section, based on the motion on the certain road section, the motion being dependent on the motion on the previous road section of the certain road section, and

the motion occurrence probability obtaining unit obtains the occurrence probability of the motion of the vehicle on each of the road sections.

4. The travel pattern information obtaining device according to claim 1, wherein

the vehicle speed identification information obtaining unit refers to map information divided into layers such that a higher-ranked layer has a lower density of nodes, and extracts lower-layer-nodes, which are set on a road identical to a road between the two preset points, from the layer ranked lower than the layer that includes higher-layer-nodes corresponding to both ends of the road between the two preset points, to designate the lower-layer-nodes, as end points of each the road sections.

5. The travel pattern information obtaining device according to claim 1, wherein

the motion occurrence probability obtaining unit obtains the occurrence probability for a motion of the vehicle that corresponds to a difficulty of travel when traveling from one of the road sections that are consecutive to the next, and obtains information specifying the difficulty of travel based on the occurrence probability.

6. The travel pattern information obtaining device according to claim 1, wherein

the vehicle speed identification information classifying unit classifies the vehicle speed identification information into the group using clustering.

9. The travel pattern information obtaining device according to claim 4, wherein

the motion occurrence probability obtaining unit obtains the occurrence probability for a motion of the vehicle that corresponds to a difficulty of travel when traveling from one of the road sections that are consecutive to the next, and obtains information specifying the difficulty of travel based on the occurrence probability.

10. The travel pattern information obtaining device according to claim 4, wherein

the vehicle speed identification information classifying unit classifies the vehicle speed identification information into the group using clustering.

11. The travel pattern information obtaining device according to claim 5, wherein

the vehicle speed identification information classifying unit classifies the vehicle speed identification information into the group using clustering.

12. The travel pattern information obtaining device according to claim 9, wherein

the vehicle speed identification information classifying unit classifies the vehicle speed identification information into the group using clustering.

2-3. -3. (canceled)

7. A travel pattern information obtaining method comprising the steps of:

obtaining vehicle speed identification information in order to identify vehicle speed of a vehicle on a road for a plurality of vehicles;

classifying the vehicle speed identification information into a group corresponding to a motion of the vehicle, based on a distribution of the vehicle speed identification information; and

obtaining an occurrence probability of the motion of the vehicle, based on the classification, characterized in that the step of obtaining vehicle speed identification information comprises the step of obtaining the vehicle speed identification information of a plurality of road sections, respectively, that are consecutive between two preset points, the vehicle speed identification information indicating the vehicle speed or required time of the road sections,

the step of classifying the vehicle speed identification information comprises the step of classifying the vehicle speed identification information of each of the road sections into the group which is defined such that the group in a certain road section is dependent on the group in a previous road section of the certain road section, based on the motion on the certain road section, the motion being dependent on the motion on the previous road section of the certain road section, and

the step of obtaining an occurrence probability comprises the step of obtaining the occurrence probability of the motion of the vehicle on each of the road sections.

8. A travel pattern information obtaining program performing in a computer the functions of

obtaining vehicle speed identification information in order to identify vehicle speed of a vehicle on a road for a plurality of vehicles;

classifying the vehicle speed identification information into a group corresponding to a motion of the vehicle, based on a distribution of the vehicle speed identification information; and

obtaining an occurrence probability of the motion of the vehicle, based on the classification, characterized in that the function of obtaining vehicle speed identification information comprises the function of obtaining the vehicle speed identification information of a plurality of road sections, respectively, that are consecutive between two preset points, the vehicle speed identification information indicating the vehicle speed or required time of the road sections,

the function of classifying the vehicle speed identification information comprises the function of classifying the vehicle speed identification information of each of the road sections into the group which is defined such that the group in a certain road section is dependent on the group in a previous road section of the certain road section, based on the motion on the certain road section, the motion being dependent on the motion on the previous road section of the certain road section, and

the function of obtaining an occurrence probability comprises the function of obtaining the occurrence probability of the motion of the vehicle on each of the road sections.