METHOD FOR DETERMINING AND OUTPUTTING TRAVEL INSTRUCTIONS FOR MOST FUEL-EFFICIENT ROUTE

• US 20080133120A1
• Filed: 11/30/2006
• Published: 06/05/2008
• Est. Priority Date: 11/30/2006
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Romanick, Ian D.
• Application Number:
  US11/565,403
• Publication Number:
  US 20080133120A1
• Time in Patent Office: Days
• US Class Current: 701/123
• CPC Class Codes: G01C 21/3469 Fuel consumption; Energy use; Emission aspects

Abstract

A method provides a sequence of travel instructions that reports fuel-efficient routes calculated with regard to vehicle specifications, geography of terrain, and complexity of travel route. An operator selects the desired starting and ending location via a client interface of a software application. When the user selects “most fuel efficient route,” the fuel-efficient route (FER) utility of the application prompts for entry of the make, model, and year of the operator'"'"'s vehicle. If the FER utility is embedded in an in-car navigation system, the information about the vehicle characteristics is preprogrammed during installation (e.g., at the factory). The FER utility uses a number of metrics and the vehicle'"'"'s characteristics, to generate an optimal route for efficient fuel consumption. The invention provides means for an operator of a route planning application to optimize the driving directions for optimally predicted fuel usage.

Claims

1. A method comprising:

receiving user input of a destination to which a route is desired to travel to the destination via a vehicle; and

determining a travel route to the destination, wherein said determining takes into consideration factors related to fuel consumption by the vehicle when traveling to the destination along various available paths, such that the travel route generated is a most-fuel efficient travel route among multiple available travel routes.

2. The method of claim 1, further comprising:

receiving a second user input of data identifying the vehicle being utilized to travel to the destination; and

wherein said determining further comprises evaluating the fuel consumption of the vehicle using the identifying data to retrieve fuel-consumption metrics of the vehicle, including make, model and year of the vehicle.

3. The method of claim 2, wherein said evaluating the fuel consumption comprises:

accessing a database of vehicle information, which database provides data related to the specific type of vehicle, including a size and weight of the vehicle, and a general fuel consumption rating of the vehicle.

4. The method of claim 2, further comprising:

receiving a third user input of a type of fuel being utilized by the vehicle; and

wherein said evaluating further comprises evaluating the fuel consumption of the vehicle using a “

use rating”

associated with the type of fuel specified by the third user input, wherein when a price per type of fuel is a data point within the database, said evaluating further evaluates the fuel consumption based on the cost of the type of fuel.

5. The method of claim 1, further comprising:

receiving a fourth user input of one or more metrics, which directly affect the fuel consumption rate regardless of whether vehicle identifying metrics are provided, said one or more metrics including one or more of a drive type, a fuel rating of the vehicle from among HYBRID and non-HYBRID, and a size of an engine of the vehicle; and

completing said determining by evaluating the fuel consumption of the vehicle using said fourth user input.

6. The method of claim 1, wherein said determining further comprises:

retrieving each of the available travel routes to the specified destination; and

performing an evaluation of the fuel consumption based on characteristics of each of the retrieved travel routes, said characteristics comprising;

number of stop lights, amount of traffic, time of travel, grade of roadway surfaces, speed limit of roadways, slope/grade of terrain, average speed, estimated travel time, and total distance.

7. The method of claim 1, wherein when information about the available travel routes is not locally maintained, the determining further comprises:

accessing a remote database of route information; and

retrieving required data from the remote database.

8. The method of claim 6, wherein the user enters the request in a navigation system within the vehicle, and wherein said accessing further comprises:

accessing a location-based wireless communication system to determine a current location of the vehicle;

automatically retrieving general vehicle information from a local storage;

determining if feedback data is available from sensors within the vehicle;

when feedback data is not available, performing the determining step with the retrieved vehicle information; and

when feedback data is available, performing the determining step with the retrieved vehicle information and the feedback data to yield a more accurate analysis of the vehicle fuel consumption given the actual vehicle characteristics and driving characteristics.

9. The method of claim 1, further comprising:

outputting the most fuel-efficient travel route to an output device; and

when the output device is a display device of a navigational system;

plotting the most fuel-efficient route on the display device; and

responsive to a divergence by vehicle from the most-fuel efficient route, determining a next most fuel-efficient route to the destination from the current location of the vehicle and plotting the next most fuel-efficient route on the display device.

13. The computer program product of claim 9, wherein said determining code further comprises code for:

retrieving each of the available travel routes to the specified destination; and

performing an evaluation of the fuel consumption based on characteristics of each of the retrieved travel routes, said characteristics comprising;

number of stop lights, amount of traffic, time of travel, grade of roadway surfaces, speed limit of roadways, slope/grade of terrain, average speed, estimated travel time, and total distance.

14. The computer program product of claim 13, wherein the user enters the request in a navigation system within the vehicle, wherein said program code for accessing further comprises code for:

accessing a location-based wireless communication system to determine a current location of the vehicle;

automatically retrieving general vehicle information from a local storage;

determining if feedback data is available from sensors within the vehicle;

when feedback data is not available, performing the determining step with the retrieved vehicle information; and

when feedback data is available, performing the determining step with the retrieved vehicle information and the feedback data to yield a more accurate analysis of the vehicle fuel consumption given the actual vehicle characteristics and driving characteristics.

15. The computer program product of claim 9, further comprising program code for:

outputting the most fuel-efficient travel route to an output device; and

when the output device is a display device of a navigational system;

plotting the most fuel-efficient route on the display device; and

responsive to a divergence by the vehicle from the most-fuel efficient route, determining a next most fuel-efficient route to the destination from the current location of the vehicle and plotting the next most fuel-efficient route on the display device.

10. A computer program product comprising:

a computer readable medium; and

program code on the computer readable medium that when executed by a processor on a computer device provides the functions of;

receiving user input of a destination to which a route is desired to travel to the destination via a vehicle; and

determining a travel route to the destination, wherein said determining takes into consideration factors related to fuel consumption by the vehicle when traveling to the destination along various available paths, such that the travel route generated is a most-fuel efficient travel route among multiple available travel routes.

11. The computer program product of claim 10, further comprising program code for:

receiving a second user input of data identifying the vehicle being utilized to travel to the destination; and

wherein said determining further comprises evaluating the fuel consumption of the vehicle using the identifying data to retrieve fuel-consumption metrics of the vehicle, including make, model and year of the vehicle;

wherein said program code for evaluating the fuel consumption comprises code for accessing a database of vehicle information, which database provides data related to the specific type of vehicle, including a size and weight of the vehicle, and a general fuel consumption rating of the vehicle.

12. The computer program product of claim 11, further comprising program code for:

receiving a third user input of a type of fuel being utilized by the vehicle;

when said third user input is received, said program code for evaluating further comprises code for evaluating the fuel consumption of the vehicle using a “

use rating”

associated with the type of fuel specified by the third user input, wherein when the price per type of fuel is a data point within the database, said evaluating further evaluates the fuel consumption based on the cost of the type of fuel;

receiving a fourth user input of one or more metrics, which directly affect the fuel consumption rate regardless of whether vehicle identifying metrics are provided, said one or more metrics including one or more of a drive type, a fuel rating of the vehicle from among HYBRID and non-HYBRID, and a size of an engine of the vehicle; and

when said fourth user input is received, completing said determining by evaluating the fuel consumption of the vehicle using said fourth user input.

16. A navigation system comprising:

a processor component;

a user interface that enables entry by a user of a user request for destination routing information and which displays a generated travel route; and

a utility executing on the processor component and which comprises codes that enable completion of the following functions;

receiving user input of a destination to which a route is desired to travel to the destination via a vehicle;

retrieving each of the available travel routes to the specified destination, wherein when information about the available travel routes is not locally maintained, the code for retrieving further comprises code for;

accessing a remote database of route information; and

retrieving required data from the remote database;

performing an evaluation of the fuel consumption based on characteristics of each of the retrieved travel routes, said characteristics comprising;

number of stop lights, amount of traffic, time of travel, grade of roadway surfaces, speed limit of roadways, slope/grade of terrain, average speed, estimated travel time, and total distance; and

determining a travel route to the destination, wherein said determining takes into consideration factors related to fuel consumption by the vehicle when traveling to the destination along various available paths, such that the travel route generated is a most-fuel efficient travel route among multiple available travel routes.

17. The navigation system of claim 16, wherein said utility further comprises code for:

receiving a second user input of data identifying the vehicle being utilized to travel to the destination;

wherein said determining further comprises evaluating the fuel consumption of the vehicle using the identifying data to retrieve fuel-consumption metrics of the vehicle, including make, model and year of the vehicle;

wherein said program code for evaluating the fuel consumption comprises code for;

accessing a database of vehicle information, which database provides data related to the specific type of vehicle, including a size and weight of the vehicle, and a general fuel consumption rating of the vehicle.

18. The computer program product of claim 16, further comprising program code for:

receiving a third user input of a type of fuel being utilized by the vehicle;

when the third user input is received, completing the evaluating of the fuel consumption by the vehicle using a “

use rating”

associated with the type of fuel specified by the third user input, wherein when the price per type of fuel is a data point within the database, said evaluating further evaluates the fuel consumption based on the cost of the type of fuel;

receiving a fourth user input of one or more metrics, which directly affect the fuel consumption rate regardless of whether vehicle identifying metrics are provided, said one or more metrics including one or more of a drive type, a fuel rating of the vehicle from among HYBRID and non-HYBRID, and a size of an engine of the vehicle; and

when the fourth user input is received, completing said determining by evaluating the fuel consumption of the vehicle using said fourth user input.

19. The navigation system of claim 16, wherein the navigation system is an in-vehicle navigation system, wherein said code for accessing further comprises code for:

accessing a location-based wireless communication system to determine a current location of the vehicle;

automatically retrieving general vehicle information from a local storage;

determining if feedback data is available from sensors within the vehicle;

when feedback data is not available, performing the determining step with the retrieved vehicle information; and

when feedback data is available, performing the determining step with the retrieved vehicle information and the feedback data to yield a more accurate analysis of the vehicle fuel consumption given the actual vehicle characteristics and driving characteristics.

20. The navigation system of claim 16, further comprising code for:

outputting the most fuel-efficient travel route to an output device; and

when the output device is a display device of a navigational system;

plotting the most fuel-efficient route on the display device; and

responsive to a divergence by the vehicle from the most-fuel efficient route, determining a next most fuel-efficient route to the destination from the current location of the vehicle and plotting the next most fuel-efficient route on the display device.