Traffic jam prediction device and method

• US 7,617,041 B2
• Filed: 06/28/2006
• Issued: 11/10/2009
• Est. Priority Date: 06/29/2005
• Status: Expired due to Fees

• Current Assignee: Nissan Motor Co., Ltd.
• Original Assignee: Nissan Motor Co., Ltd.
• Inventors: Sera, Manabu
• Primary Examiner(s): Black; Thomas G
• Assistant Examiner(s): Diacou; Ari M
• Application Number:
  US11/476,384
• Publication Number:
  US 20070005230A1
• Time in Patent Office: 1,231 Days
• Field of Search: 701117-119
• US Class Current: 701/119
• CPC Class Codes: G08G 1/01 Detecting movement of traffic to be counted or controlled G08G1/07 - G08G1/14 take precedence
• 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 1/096775 where the origin of the information is a central station

Abstract

A device and method to enable the prediction of a traffic jam even when the road environment changes. On the basis of up-to-the-minute, i.e., current, traffic jam information and changes from the preceding traffic jam information, the current traffic state is estimated. On the basis of the up-to-the-minute traffic jam information and the current traffic state, the current traffic jam degree is predicted. The results can be used in a conventional navigation method and apparatus to plot driving routes for a vehicle.

Claims

1. A traffic jam prediction device receiving traffic jam information from a traffic information center, the device comprising:

a controller configured to sample current traffic jam information for at least two successive temporal cycles, to estimate a current traffic state of a road link based on first current traffic jam information of a most recent temporal cycle and a change between the first current traffic jam information of the most recent temporal cycle and a second current traffic jam information from at least a temporal cycle preceding the most recent temporal cycle, and to predict a current traffic jam degree of the road link based on the first current traffic jam information and the current traffic state as estimated.

2. The traffic jam prediction device according to claim 1, further comprising:

at least one communication link between the traffic information center and a plurality of onboard navigation devices, each of the plurality associated with a respective vehicle; and

wherein

the traffic information center is configured to obtain, from each of the plurality of onboard navigation devices, a respective traffic jam degree for a road link on which each of the plurality of onboard navigation devices is traveling, the respective traffic jam degree based on at least one of an average speed and an average travel time of the road link, and wherein the traffic information center is configured to generate the traffic jam information for at least one vehicle using the respective traffic jam degree.

3. The traffic jam prediction device according to claim 2 wherein the traffic information center includes the controller.

4. The traffic jam prediction device according to claim 2 wherein each of the plurality of onboard navigation devices includes a respective controller configured to sample the current traffic jam information for at least two successive temporal cycles, to estimate the current traffic state of the road link based on the first current traffic jam information of the most recent temporal cycle and the change between the first current traffic jam information of the most recent temporal cycle and the second current traffic jam information from the at least the temporal cycle preceding the most recent temporal cycle, and to predict the current traffic jam degree of the road link based on the first current traffic jam information and the current traffic state as estimated.

5. The traffic jam prediction device according to claim 1, further comprising:

an onboard navigation device housing the controller.

6. The traffic jam prediction device according to claim 1 wherein the controller is configured to predict a current average speed of the road link based on the first current traffic jam information and the current traffic state as estimated, the current average speed representing the current traffic jam degree.

7. The traffic jam prediction device according to claim 1 wherein the controller is configured to predict a current travel time for the road link based on the first traffic jam information and the current traffic state as estimated, the current travel time representing the current traffic jam degree.

8. The traffic jam prediction device according to claim 1 wherein the current traffic state is one of fluid, becoming jammed, jammed and becoming less jammed.

9. The traffic jam prediction device according to claim 1 wherein the controller is further configured to correct a time delay with respect to the current traffic jam degree of the road link based upon a time needed to transmit the traffic jam information from the traffic information center.

10. A traffic jam prediction device, comprising:

traffic state sampling means for sampling current traffic jam information for at least two successive temporal cycles;

traffic state estimating means for estimating a current traffic state of a road link based on first current traffic jam information of a most recent temporal cycle and a change between the first current traffic jam information of the most recent temporal cycle and a second current traffic jam information from at least a temporal cycle preceding the most recent temporal cycle; and

traffic jam degree predicting means for predicting of a current traffic jam degree of the road link based on the first current traffic jam information and the current traffic state from the traffic state estimating means.

11. A traffic jam prediction method, comprising:

sampling current traffic jam information for at least two successive temporal cycles;

estimating a current traffic state of a road link using a controller, the current traffic state estimated based on first current traffic jam information of a most recent temporal cycle and a change between the first current traffic jam information of the most recent temporal cycle and a second current traffic jam information from at least a temporal cycle preceding the most recent temporal cycle; and

predicting a current traffic jam degree of the road link using the controller, the current traffic jam degree predicted based on the first current traffic jam information and the current traffic state of the road link.

12. The traffic jam prediction method according to claim 11, further comprising:

receiving the traffic jam information from a traffic information center.

13. The traffic jam prediction method according to claim 12, further comprising:

receiving a traffic jam degree for respective road links at a traffic information center;

generating the traffic jam information at the traffic center; and

transmitting the traffic jam information to respective onboard navigation devices.

14. The traffic jam prediction method according to claim 11 wherein predicting of the current traffic jam degree comprises predicting a current average speed based on the first current traffic jam information and the current traffic state.

15. The traffic jam prediction method according to claim 11 wherein the current traffic state comprises one of fluid, becoming jammed, jammed and becoming less jammed.

16. The traffic jam prediction method according to claim 11 wherein predicting of the current traffic jam degree comprises predicting a current travel time based on the first traffic jam information and the current traffic state.

17. The traffic jam prediction method according to claim 11, further comprising:

correcting a time delay with respect to the current traffic jam degree based upon a time needed to transmit the traffic jam information from a traffic information center.

18. The traffic jam prediction method according to claim 11 wherein estimating the current traffic state comprises comparing a first speed of the road link to a second, subsequent speed of the road link;

and wherein a result of comparing provides the current traffic state of the road link.

19. The traffic jam prediction method according to claim 18 wherein the current traffic jam information is a projected average speed for the road link and the first current traffic jam information is a first projected average speed for the road link;

and wherein predicting the current traffic jam degree comprises revising the first projected average speed for the road link based on the current traffic state.

20. The traffic jam prediction method according to claim 11 wherein the current traffic jam information is a projected average speed for the road link and the first current traffic jam information is a first projected average speed for the road link;

and wherein predicting the current traffic jam degree comprises revising the first projected average speed for the road link based on the current traffic state.