TRAFFIC HINDRANCE RISK PREDICTION APPARATUS

• US 20180089993A1
• Filed: 09/25/2017
• Published: 03/29/2018
• Est. Priority Date: 09/27/2016
• Status: Active Grant

• Current Assignee: Honda Motor Co., Ltd. (Honda Motor Company), Japan Weather Association
• Original Assignee: Honda Motor Co., Ltd. (Honda Motor Company), Japan Weather Association
• Inventors: MASUDA, Takuro, TANJI, Kazuhiro, NOMURA, Shigeyuki
• Granted Patent: US 10,636,296 B2
• Time in Patent Office: Days
• CPC Class Codes: G01C 21/3691 Retrieval, searching and output of information related to real-time traffic, weather, or environmental conditions arrangements for giving variable traffic instructions G08G1/09
• 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 1/048 with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
• CPC Class Codes: G08G 1/052 with provision for determining speed or overspeed speed measuring in general G01P

Abstract

An apparatus for predicting a traffic hindrance risk having a traffic hindrance information generating server configured to generate traffic hindrance information encompassing congestion degree information including a current congestion degree obtained from a current value of driving data transmitted as probe data regarding a driving route from a vehicle equipped with a navigation system and a statistical congestion degree obtained from a statistical value of the current value of driving data in a certain previous period and a weather information generating server configured to generate weather information from weather data distributed by a meteorological agency with respect to an area including the driving route based on an weather model. In the apparatus, a traffic hindrance occurrence risk possibility of traffic hindrance occurrence with respect to the driving route is predicted from the congestion degree and weather information.

Claims

1. An apparatus for predicting a traffic hindrance risk, comprising:

a traffic hindrance information generating server configured to generate traffic hindrance information encompassing congestion degree information including a current congestion degree obtained from a current value of driving data transmitted as probe data regarding a driving route from a vehicle equipped with a navigation system and a statistical congestion degree obtained from a statistical value of the current value of driving data in a certain previous period;

a weather information generating server configured to generate weather information from weather data distributed by a meteorological agency with respect to an area including the driving route based on an weather model; and

a traffic hindrance risk predicting unit configured to predict a traffic hindrance occurrence risk possibility of traffic hindrance occurrence with respect to the driving route based on the congestion degree information generated by the traffic hindrance information generating server and the weather information generated by the weather information generating server.

2. The apparatus according to claim 1, wherein the traffic hindrance information generating server is configured to generate the congestion degree information by sorting it into a plurality of level categories in accordance with a driving speed in the driving data.

3. The apparatus according to claim 1, wherein the traffic hindrance risk predicting unit is configured to predict foul weather traffic hindrance occurrence risk meaning possibility of traffic hindrance occurrence under foul weather, when the weather information includes at least one item of foul weather information among snow, rain and visibility, based on a plurality of categories acquired by analyzing foul weather information.

4. The apparatus according to claim 3, wherein the traffic hindrance information generating server is configured to generate the congestion degree information for individual links that define the driving route, the weather information generating server is configured to generate the weather information with respect to individual areas including the driving route, and the traffic hindrance risk predicting unit is configured to predict at least one of the traffic hindrance occurrence risk and the foul weather traffic hindrance risk based on the weather information generated for the individual areas and the congestion degree information generated for the individual links,

5. The apparatus according to claim 1, wherein the traffic hindrance information generating server is configured to generate the congestion degree information for individual predetermined driving sections.

6. An apparatus for predicting a traffic hindrance risk, comprising:

a traffic hindrance information generating server configured to generate traffic hindrance information encompassing congestion degree information including a current congestion degree obtained from a current value of driving data transmitted as probe data regarding a driving route from a vehicle equipped with a navigation system and a statistical congestion degree obtained from a statistical value of the current value of driving data in a certain previous period;

a weather information generating server configured to generate weather information from weather data distributed by a meteorological agency with respect to an area including the driving route based on an weather model; and

at least one processor and a memory coupled to the processor;

wherein the processor and the memory are configured to perform;

predicting a traffic hindrance occurrence risk possibility of traffic hindrance occurrence with respect to the driving route based on the congestion degree information generated by the traffic hindrance information generating server and the weather information generated by the weather information generating server.

7. The apparatus according to claim 6, wherein the traffic hindrance information generating server is configured to generate the congestion degree information by sorting it into a plurality of level categories in accordance with a driving speed in the driving data.

8. The apparatus according to claim 6, wherein the processor and the memory are configured to perform the predicting such that foul weather traffic hindrance occurrence risk meaning possibility of traffic hindrance occurrence under foul weather is predicted, when the weather information includes at least one item of foul weather information among snow, rain and visibility, based on a plurality of categories acquired by analyzing the foul weather information.

9. The apparatus according to claim 8, wherein the traffic hindrance information generating server is configured to generate the congestion degree information for individual links that define the driving route, the weather information generating server is configured to generate the weather information with respect to individual areas including the driving route, and the processor and the memory are configured to perform the predicting such that at least one of the traffic hindrance occurrence risk and the foul weather traffic hindrance risk is predicted based on the weather information generated for the individual areas and the congestion degree information generated for the individual links.

10. The apparatus according to claim 6, wherein the traffic hindrance information generating server is configured to generate the congestion degree information for individual predetermined driving sections.

11. A method for predicting a traffic hindrance risk, having:

a traffic hindrance information generating server configured to generate traffic hindrance information encompassing congestion degree information including a current congestion degree obtained from a current value of driving data transmitted as probe data regarding a driving route from a vehicle equipped with a navigation system and a statistical congestion degree obtained from a statistical value of the current value of driving data in a certain previous period; and

a weather information generating server configured to generate weather information from weather data distributed by a meteorological agency with respect to an area including the driving route based on an weather model;

wherein the method comprising the step of;

predicting a traffic hindrance occurrence risk possibility of traffic hindrance occurrence with respect to the driving route based on the congestion degree information generated by the traffic hindrance information generating server and the weather information generated by the weather information generating server.

12. The method according to claim 11, wherein the traffic hindrance information generating server is configured to generate the congestion degree information by sorting it into a plurality of level categories in accordance with a driving speed in the driving data.

13. The method according to claim 11, wherein the step of predicting is configured to predicts the foul weather traffic hindrance occurrence risk meaning possibility of traffic hindrance occurrence under foul weather, when the weather information includes at least one item of the foul weather information among snow, rain and visibility, based on a plurality of categories acquired by analyzing foul weather information.

14. The method according to claim 13, wherein the traffic hindrance information generating server is configured to generate the congestion degree information for individual links that define the driving route, the weather information generating server is configured to generate the weather information with respect to individual areas including the driving route, and the step of predicting is configured to predict at least one of the traffic hindrance occurrence risk and the foul weather traffic hindrance risk based on the weather information generated for the individual areas and the congestion degree information generated for the individual links,

15. The method according to claim 11, wherein the traffic hindrance information generating server is configured to generate the congestion degree information for individual predetermined driving sections.