Method and apparatus for forecasting flow of traffic

• US 10,235,880 B2
• Filed: 02/16/2015
• Issued: 03/19/2019
• Est. Priority Date: 02/17/2014
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Seo, Youngjun
• Primary Examiner(s): Foxx, Chico A
• Application Number:
  US15/107,295
• Publication Number:
  US 20160321923A1
• Time in Patent Office: 1,492 Days
• Field of Search: None
• 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 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/096716 where the received information does not generate an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096741 where the source of the transmitted information selects which information to transmit to each vehicle
• CPC Class Codes: G08G 1/096758 where no selection takes place on the transmitted or the received information
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station
• CPC Class Codes: G08G 1/096791 where the origin of the information is another vehicle
• CPC Class Codes: G08G 1/162 event-triggered
• CPC Class Codes: G08G 1/163 involving continuous checking
• CPC Class Codes: G08G 1/164 Centralised systems, e.g. external to vehicles

Abstract

Disclosed are a method and an apparatus for forecasting the flow of traffic. The method includes: detecting measurement information of a vehicle by using a sensor; generating vector data based on the measurement information; and transmitting the generated vector data.

Claims

1. A method using an electronic device installed in a vehicle, comprising:

detecting, by a sensor of the vehicle, a location and motion of the vehicle and generating measurement information indicative of the detected motion;

generating, by a processor of the electronic device, vector data aggregating the detected motion of the vehicle based on the measurement information;

transmitting, by a communication unit of the electronic device, the generated vector data to an external device that;

identifies at least two accident types matching the generated vector data from among a plurality of pre-stored accident types by comparing the generated vector data to a plurality of prestored vector data each associated with at least one of the plurality of prestored accident types,

selects a final accident type from among the identified at least two accident types by detecting a match between one of the at least two accident types with the detected location of the vehicle, and retrieves pre-stored dangerous situation information including identification of at least one road hazard pre-associated with the selected final accident type; and

receiving and outputting the retrieved dangerous situation information including notification of the at least one road hazard.

2. The method of claim 1, wherein detecting the measurement information comprises:

detecting angular velocity information of the vehicle using a gyro sensor;

detecting location information of the vehicle using a Global Positioning System (GPS) sensor; and

detecting acceleration information of the vehicle using an acceleration sensor.

3. The method of claim 2, wherein the generating of the vector data comprises:

generating the vector data by using at least one of the angular velocity information, the location information, and the acceleration information; and

correcting the vector data by using an earth magnetic field sensor.

4. The method of claim 1, wherein the generating of the vector data comprises:

receiving sensor information from a sensor installed in the vehicle or another vehicle adjacent to the vehicle; and

using the sensor information as the measurement information of the vehicle or correcting the vector data by using the sensor information.

5. The method of claim 1, further comprising:

receiving sensor information from a sensor installed in the vehicle or another vehicle adjacent to the vehicle;

detecting dangerous situation information based on the sensor information; and

informing of the detected dangerous situation information.

6. The method of claim 5, further comprising:

comparing the dangerous situation information with a preset degree of danger; and

generation a notification for the dangerous situation information according to a corresponding degree of danger based on a result of the comparison.

7. The method of claim 6, wherein the notification includes at least one of sound information, voice information, and display information associated with the dangerous situation information according to the degree of danger;

and

outputting at least one of the sound information, voice information, and display information.

8. The method of claim 1, further comprising:

receiving dangerous situation information from the external device; and

differently informing of the dangerous situation information according to a distance.

9. A method in an electronic device, comprising:

receiving, by a communication unit of the electronic device, vector data transmitted from a portable device disposed within a vehicle;

identifying at least two accident types matching the received vector data, from among a plurality of pre-stored accident types by comparison of the received vector data to a plurality of prestored vector data, each associated with at least one of the plurality of prestored accident types;

selecting a final accident type from among the identified at least two accident type by detecting a match between one of the identified at least two accident types with the detected location of the vehicle, and retrieving pre-stored dangerous situation information including identification of at least one road hazard pre-associated with the selected final accident type; and

transmitting the retrieved pre-stored dangerous situation information to the portable device for notification of the at least one road hazard.

10. The method of claim 9, wherein the accident type is detected using at least one of a size, acceleration, and angular velocity of the vector data.

11. The method of claim 9, wherein selecting the final accident type further includes detecting a match between one of the identified at least two accident types with at least one of road information, road history information, road condition information, weather information, and time information corresponding to the matched detected location.

12. The method of claim 9, wherein generating the dangerous situation information comprises:

generating vehicle vector data based on location information of the vehicle;

calculating sensor error information by using the vehicle vector data; and

generating, the accident type based on the calculated sensor error information among the selected final accident type, as the dangerous situation information.

13. The method of claim 9, wherein generating the dangerous situation information comprises:

detecting a vector pattern based on vector data of a plurality of vehicles; and

generating, the accident type based on the vector pattern among the selected final accident type, as the dangerous situation information.

14. The method of claim 9, further comprising:

calculating a distance from the vehicle based on location information of the dangerous situation information; and

generating a notification for output by a portable device based on the dangerous situation information when the calculated distance is equal to or less than a preset distance threshold.

15. An electronic device in a vehicle, comprising:

a sensor;

at least one processor; and

a communication unit; and

a memory including programming instructions executable by the at least one processor to cause the electronic device to;

detect, by the sensor, motion of the vehicle and generating measurement information indicative of the detected motion;

generate vector data aggregating the detected motion of the vehicle based on the measurement information;

transmit the generated vector data to an external device that;

identifies at least two accident types matching the generated vector data from among a plurality of pre-stored accident types by comparing the generated vector data to a plurality of prestored vector data, each associated with at least one of the plurality of prestored accident types,

selects a final accident type from among the identified at least two accident types by detecting a match between one of the identified at least two accident types with the detected location of the vehicle, and retrieves pre-stored dangerous situation information including identification of at least one road hazard pre-associated with the selected final accident type; and

receive and output the retrieved dangerous situation information including notification of the at least one road hazard.

16. The electronic device of claim 15, wherein the sensor includes at least one of a gyro sensor to detect angular velocity information of the vehicle, a GPS sensor to detect location information of the vehicle, and an acceleration sensor to detect acceleration information of the vehicle.

17. The electronic device of claim 16, wherein the programming instructions are further executable by the at least one processor to cause the electronic device to:

generate the vector data by using at least one of the location information and the acceleration information and correct the vector data by using an earth magnetic field sensor.

18. The electronic device of claim 15, wherein the communication unit receives sensor information from a sensor installed in the vehicle or another vehicle adjacent to the vehicle and the programming instructions are further executable by the at least one processor to cause the electronic device to:

use the received sensor information as measurement information of the vehicle or detects dangerous situation information based on the sensor information and inform of the detected dangerous situation information.

19. The electronic device of claim 18, wherein the programming instructions are further executable by the at least one processor to cause the electronic device to:

compare the dangerous situation information with a preset degree of danger and generate a notification for the dangerous situation information according to a corresponding degree of danger based on a result of the comparison.

20. The electronic device of claim 19, wherein the notification includes at least one of sound information, voice information, and display information associated with the dangerous situation information according to the degree of danger, the electronic device further comprising an output unit for outputting at least one of the sound information, voice information, and display information.

21. An electronic device, comprising:

a communication unit;

at least one processor; and

a memory storing programming instructions executable by the at least one processor to cause the electronic device to;

receive, by the communication unit of the electronic device, vector data transmitted from a portable device disposed within a vehicle,

identify at least two accident types matching the received vector data, from among a plurality of pre-stored accident types by comparison of the received vector data to a plurality of prestored vector data, each associated with at least one of the plurality of prestored accident types;

select a final accident type from among the identified at least two accident type by detecting a match between one of the identified at least two accident types with the detected location of the vehicle and retrieve pre-stored dangerous situation information including identification of at least one road hazard pre-associated with the selected final accident type; and

transmit the retrieved pre-stored dangerous situation information to the portable device for notification of the at least one road hazard.

22. The electronic device of claim 21, wherein selecting the final accident type further includes detecting a match between one of the identified at least two accident types with s at least one of road information, road history information, road condition information, weather information, and time information corresponding to the matched detected location.

23. The electronic device of claim 21, wherein the programming instructions are further executable by the at least one processor to cause the electronic device to:

generate vehicle vector data based on location information of the vehicle, calculate sensor error information by using the vehicle vector data, and filter the accident type based on the calculated sensor error information.

24. The electronic device of claim 21, wherein the programming instructions are further executable by the at least one processor to cause the electronic device to:

detect a vector pattern based on vector data of a plurality of vehicles and filters the accident type based on the vector pattern.

25. The electronic device of claim 21, wherein the programming instructions are further executable by the at least one processor to cause the electronic device to:

calculate a distance from the vehicle based on location information of the dangerous situation information, and inform different dangerous situation information according to the distance to a portable device within the vehicle through the communication unit.