Method and system for autonomously delivering information to drivers

• US 9,305,306 B2
• Filed: 08/20/2014
• Issued: 04/05/2016
• Est. Priority Date: 09/24/2013
• Status: Active Grant

• Current Assignee: Mitsubishi Electric Research Laboratories, Inc. (Mitsubishi Electric Corporation)
• Original Assignee: Mitsubishi Electric Research Laboratories, Inc. (Mitsubishi Electric Corporation)
• Inventors: Nikovski, Daniel Nikolaev, Harsham, Bret, Hershey, John, Brinkman, Dirk
• Primary Examiner(s): Huynh, Luke
• Application Number:
  US14/463,874
• Publication Number:
  US 20150088645A1
• Time in Patent Office: 594 Days
• Field of Search: 701/489, 705/14.52, 706/11
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3679 Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities G01C21/3611 takes precedence
• CPC Class Codes: G06F 18/2415 based on parametric or probabilistic models, e.g. based on likelihood ratio or false acceptance rate versus a false rejection rate
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0265 Vehicular advertisement

Abstract

A method delivers information to satisfy current needs of a driver of a vehicle, by first acquiring data related to a current state of the vehicle. The current state and a predictive model are passed to a predictive procedure to determine choice probabilities for nodes in a choice tree (CT). Based on the choice probabilities, information related to the current needs to the driver are selected from a database storing commercial and non-commercial information. Then, the information is delivered to the driver, wherein the delivering is autonomous of the driver.

Claims

1. A method for delivering information to satisfy current needs of a driver of a vehicle, comprising:

acquiring data related to a current state of the vehicle, wherein the data includes navigation data from a vehicle navigation system, vehicle data from a vehicle bus weather data, and time of day and date;

passing the current state and a predictive model to a predictive procedure to determine choice probabilities for nodes in a choice tree (CT);

selecting, based on the choice probabilities, information related to the current needs to the driver from a database storing commercial and non-commercial information, wherein the needs are products and services, wherein the database includes records, wherein each record includes a label, a pointer to an associated node in the CT, a strength value (SV) of an association to the node, a cost, and the information; and

delivering the information to the driver, and wherein the delivering is autonomous of the driver without any input of the driver, wherein the delivering is via an output device, and wherein the method is performed in one or more processors.

2. The method of claim 1, wherein the information is associated with a node having a highest choice probability.

3. The method of claim 1, wherein the acquiring, passing, selecting and delivering is performed by an in-car information communication system (ICICS) connected to the vehicle by a wireless communication system.

4. The method of claim 3, wherein the information includes commercial information in a form of ads for products and services, and vendors of the products and the services pay operators of the ICICS for delivering the information to the driver.

5. The method of claim 1, wherein the information includes noncommercial information.

6. The method of claim 1, wherein the choice probabilities identify the current needs of the driver.

7. The method of claim 1, wherein the information is presented to the driver on an output device.

8. The method of claim 1, wherein the acquiring, updating, passing, selecting and delivering is initiated only by the current or relatively recent states.

9. The method of claim 1, wherein the nodes are organized in the CT according to types of products and services for satisfying the needs, wherein the CT includes a root node, intermediate level nodes of general needs, and leaf nodes related to products and services that satisfy specific needs.

10. The method of claim 1, wherein the information is associated with a logical condition on when the information is to be displayed.

11. The method of claim 1, further comprising:

multiplying the choice probability by the SV to yield an estimate of a relevance of the node for satisfying the current needs of the driver.

12. The method of claim 1, wherein the SV represents a probability that the driver responds to the information.

13. The method of claim 1, wherein the information that is delivered to the driver maximizes a product of the SV, the cost, and the choice probability to maximize revenue for an in-car information communication system (ICICS).

14. The method of claim 13, wherein the cost expresses an amount a provider of the goods and the services is willing to pay the ICICS for delivering the information.

15. The method of claim 14, wherein a condition for payment is based on a cost per impression.

16. The method of claim 1, further comprising:

delivering a coupon code with the information to certify use of the information.

17. The method of claim 1, wherein the cost is determined by an auction.

18. The method of claim 1, further comprising:

planning a trip using the method.

19. A system for delivering information to satisfy current needs of a driver of a vehicle, comprising:

a vehicle navigation system;

a vehicle bus, wherein the vehicle navigation system and the vehicle system bus are configured to acquire data related to a current state of the vehicle;

a processor, connected to the vehicle navigation system and the vehicle system bus, configured to pass the current state and a predictive model to a predictive procedure to determine choice probabilities for nodes in a choice tree (CT), to select, based on the choice probabilities, information related to the current needs to the driver from a database storing commercial and non-commercial information, wherein the needs are product and services, wherein the database includes records, wherein each record includes a label, a pointer to an associated node in the CT, a strength value (SV) of an association to the node, a cost, and the information; and

an output device, connected to the processor, to deliver the information to the driver, and wherein the delivering is autonomous of the driver without requiring any input of the driver.