Systems And Methods For Providing Route Information Using A Mobile Device

• US 20160195406A1
• Filed: 03/15/2016
• Published: 07/07/2016
• Est. Priority Date: 06/29/2011
• Status: Abandoned Application

• Current Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Original Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Inventors: Miles, Melissa, Nepomuceno, John, Durako, Jenna, Fogg, Jeremy, Fields, Brian
• Application Number:
  US15/070,440
• Publication Number:
  US 20160195406A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60W 2520/105 Longitudinal acceleration
• CPC Class Codes: B60W 2552/00 Input parameters relating to infrastructure
• CPC Class Codes: B60W 2552/05 Type of road, e.g. motorways, local streets, paved or unpaved roads
• CPC Class Codes: B60W 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2554/406 Traffic density
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 2555/60 Traffic rules, e.g. speed limits or right of way
• CPC Class Codes: B60W 2556/50 of positioning data, e.g. GPS [Global Positioning System] data
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: G01B 11/00 Measuring arrangements characterised by the use of optical techniques
• CPC Class Codes: G01C 21/36 Input/output arrangements for on-board computers
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 10/0833 Tracking
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: H04L 67/34 involving the movement of software or configuration parameters network booting or remote initial program loading [RIPL] G06F9/4416

Abstract

According to one aspect of the invention, a method for providing driving route information may include: providing a route information application to a driver for installation on a mobile device; and collecting driver data at a remote server. The driver data may be transmitted by the mobile device through the route information application to the server. The server may comprise a processor and a memory that stores the driver data. The server may receive driving data associated with a plurality of drivers and routes. The driving data may include context dependent route information. The server may compile the received driving data with context dependent route information. In response to a request from the route information application, the server may analyze the compiled driving data to determine a preferred route for the driver based on safety criteria. The server may transmit the preferred route to the route information application for display to the driver using the mobile device.

Claims

1. A method for providing driving route information, the method comprising:

providing a route information application to a driver for installation on a mobile device;

collecting driver data at a remote server, the driver data transmitted by the mobile device through the route information application to the server;

the server comprising a processor and a memory that stores the driver data, wherein the server;

receives driving data associated with a plurality of drivers and routes, the driving data including context dependent route information;

compiles the received driving data with context dependent route information;

in response to a request from the route information application, analyzes the compiled driving data to determine a preferred route for the driver based on safety criteria; and

transmits the preferred route to the route information application for display to the driver using the mobile device.

2. A method according to claim 1, wherein the server further analyzes the compiled driving data in light of the collected driver data.

3. A method according to claim 1, wherein the context dependent route information includes traffic levels.

4. A method according to claim 1, wherein the context dependent route information includes weather data.

5. A method according to claim 1, wherein the safety criteria include current weather conditions.

6. A method according to claim 1, wherein the compiled driving data include driver performance scores calculated for similar drivers in similar driving conditions.

7. A method according to claim 1, wherein the display of the preferred route includes a map with turn-by-turn driving instructions.

8. A system for providing driving route suggestions, the system comprising:

one or more sensors associated with a motor vehicle and configured to collect driving data during a data collection session;

a mobile device in communication with the one or more sensors, running a route information application, and equipped to communicate wirelessly with a remote server;

the remote server comprising a processor and a memory that stores a set of computer readable instructions stored in the memory and when executed by the processor configured to;

calculate one or more metrics related to the driver'"'"'s driving behavior, based at least on the collected driving data;

compile the one or more calculated metrics related to the driver'"'"'s driving behavior with a plurality of calculated metrics related to other drivers'"'"' driving behavior;

receive a request from the mobile device for a route suggestion;

analyze the compiled calculated metrics to determine a preferred driving route based on safety criteria; and

transmit the preferred driving route to the route information application for display using the mobile device.

9. A system according to claim 8, wherein the processor determines the preferred driving route by applying safety criteria to a plurality of potential driving routes and identifying the preferred driving route based at least in part on the one or more calculated metrics related to the driver'"'"'s driving behavior.

10. A system according to claim 8, wherein the set of computer readable instructions stored in the non-transitory storage medium, when executed by the processor, are configured to:

collect the driving data during multiple separate data collection sessions, each corresponding to a separate driving session;

combine the driving data collected during the multiple data collection sessions; and

calculate, based on the combined driving data collected during the multiple data collection sessions corresponding to multiple driving sessions, at least one metric related to the driver'"'"'s driving behavior during the multiple driving sessions.

11. A system according to claim 8, wherein the set of computer readable instructions stored in the non-transitory storage medium, when executed by the processor, are configured to:

calculate, based on the combined driving data collected during the multiple data collection sessions corresponding to multiple driving sessions, an averaged value of a particular metric for the multiple driving sessions; and

use the averaged value of the particular metric for the multiple driving sessions when identifying the preferred driving route.

12. A system according to claim 8, wherein the one or more sensors associated with the vehicle comprises an accelerometer, and wherein the set of computer readable instructions, when executed by the processor, calculate one or more metrics related to the driver'"'"'s driving behavior, the metrics being at least one of:

an acceleration metric indicative of the vehicle acceleration;

a braking metric indicative of the vehicle braking; and

a cornering metric indicative of the vehicle cornering.

13. A system according to claim 8, wherein the set of computer readable instructions, when executed by the processor:

calculate multiple individual metrics related to the driver'"'"'s driving behavior;

calculate an overall score based on the multiple different metrics;

use the calculated overall score to determine the preferred driving route.

14. A system according to claim 8, wherein the set of computer readable instructions stored in the non-transitory storage medium, analyze the collected driving data to identify notable driving events occurring during the data collection session.

15. A system according to claim 8, wherein the set of computer readable instructions stored in the non-transitory storage medium, when executed by the processor, analyze the collected driving data to identify notable driving events occurring during the data collection session by:

comparing driving data collected during particular events within the data collection session with one or more predefined thresholds; and

identifying the presence of notable driving events based on the comparisons.

16. A non-transitory computer readable medium with computer executable instructions stored thereon executed by a processor to perform a method for providing a preferred driving route, the method comprising:

collecting driver information associated with a driver through a mobile device interface;

using one or more sensors associated with a vehicle to collect driving data during a data collection session;

sending the collected driver information and the sensed driving data to a server wirelessly;

recognizing a driver request for a preferred driving route to a destination;

transmitting the driver request to the server wirelessly; and

receiving a preferred driving route to the destination from the server.

17. A non-transitory computer readable medium according to claim 16, the method further comprising:

calculating, based at least on the collected driving data, one or more metrics related to the driver'"'"'s driving behavior; and

transmitting the one or more calculated metrics related to the driver'"'"'s driving behavior to the server wirelessly.

18. A non-transitory computer readable medium according to claim 16, the method further comprising:

automatically collecting the driving data during multiple separate data collection sessions, each corresponding to a separate driving session;

calculating, based on driving data collected during an individual data collection session corresponding to an individual driving session, at least one metric related to the driver'"'"'s driving behavior during the individual driving session; and

transmitting the at least one calculated metric related to the driver'"'"'s driving behavior to the server wirelessly.

19. A non-transitory computer readable medium according to claim 16, the method further comprising:

collecting the driving data during multiple separate data collection sessions, each corresponding to a separate driving session;

combining the driving data collected during the multiple data collection sessions; and

calculating, based on the combined driving data collected during the multiple data collection sessions corresponding to multiple driving sessions, at least one metric related to the driver'"'"'s driving behavior during the multiple driving sessions.

20. A non-transitory computer readable medium according to claim 16, wherein the preferred driving route is determined by applying safety criteria to a plurality of potential driving routes and identifying the preferred driving route based at least in part on one or more calculated metrics based on the driving data related to the driver'"'"'s driving behavior.