Route Planning and Commodity Cost Estimating System

• US 20080243663A1
• Filed: 01/31/2008
• Published: 10/02/2008
• Est. Priority Date: 01/31/2007
• Status: Abandoned Application

• Current Assignee: Ronald Eveland
• Original Assignee: Ronald Eveland
• Inventors: Eveland, Ronald
• Application Number:
  US12/023,466
• Publication Number:
  US 20080243663A1
• Time in Patent Office: Days
• US Class Current: 705/35
• CPC Class Codes: G01C 21/3469 Fuel consumption; Energy use; Emission aspects
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Abstract

The present invention is a travel planning system including a commodity cost forecasting component and a route planning component that can be utilized in conjunction with one another to provide a commodity cost optimized route between locations supplied by a user of the system. The commodity cost forecasting component utilizes a suitable algorithm and current commodity cost information to provide an estimate of commodity costs at locations along an optimized route provided by the route planning component to travel between the point of origin and the destination supplied by the user to the system. The system also enables a user to determine the estimated commodity cost at a selected location, separately from planning a travel route to or from that location.

Claims

1. A travel planning system comprising:

a) a route planning component configured to provide one or more possible routes between an input point of origin and a destination; and

b) a commodity price forecasting component configured to provide an estimate of the commodity prices associated with the routes supplied by the route planning component.

2. The system of claim 1 wherein the commodity price forecasting component is configured to provide the estimate of commodity prices for future travel along the routes.

3. The system of claim 1 wherein the commodity price forecasting component is configured to utilize spot price data and offset factors in determining the commodity price estimate.

4. The system of claim 3 wherein the commodity price forecasting component is configured to geographically code the spot price data and the offset factors.

5. The system of claim 1 further comprising a user input device operably connected to the route planning system and the commodity price forecasting component and configured to enable a user to input trip criteria for use by the route planning system to determine various routes for the trip, and user optimizing criteria for use by the route planning component and the commodity price forecasting system in determining the optimal route based on the user optimizing criteria.

6. The system of claim 5 wherein the user trip criteria comprises the point of origin, the destination, the time frame in which the trip is to be taken, the type of vehicle and its gas mileage that is to be used in making the trip, the type(s) and weight of cargo to be carried in the vehicle making the trip.

7. The system of claim 5 wherein the user optimizing criteria is selected from the group consisting of:

the shortest route in terms of travel time, the shortest route in terms of overall distance, and the cheapest route in terms of overall gas price for the entire trip, one way or round trip.

8. A commodity price forecasting system comprising a processing device operably connected to a worldwide data network and configured to access an obtain spot price data for the selected commodity, to average the spot price data over time to develop a forecasting function for the price of the commodity, geographically code the averaged spot price data based on the locations for which the spot price data is obtained, and to provide an estimate of the commodity price for a specified location in response to a request from a user from a remote communications device.

9. The commodity price forecasting system of claim 8 wherein the processing device is further configured to develop an offset for the averaged spot price data for a particular geographic location to be used in estimating the commodity price for a specified geographic location.

10. The commodity price forecasting system of claim 9 wherein the processing device is configured to obtain data pertaining to transportation route delays for the selected commodity, commodity delivery methods, original spot prices of the commodity, transportation costs for the commodity, local and state taxes for a particular geographic location to be utilized in obtaining the offset employed in determining the estimated commodity price.

11. The commodity price forecasting system of claim 8 further comprising a route planning component located on the processing device, and wherein the processing device is configured to receive point of origin and destination information from a user on the remote communications device, to determine a route between the point of origin and destination, and to provide estimates of the prices for the commodity at various geographic locations located along the route.

12. The commodity price forecasting system of claim 11 wherein the processing device is further configured to optimize the route between the point of origin and the destination based on optimization criteria provided by the user.

13. A method for determining the cost for travel along a route, the method comprising the steps of:

a) providing a system including a route planning component and a commodity price estimating component;

b) entering a relevant trip planning criteria including a point of origin and a destination into the route planning component to be utilized in determine a route; and

c) estimating prices of the commodity at geographic locations along the route.

14. The method of claim 13 wherein the step of estimating prices of the commodity at geographic locations along the route further comprises the steps of:

a) obtaining spot price data for the selected commodity in a number of geographic locations;

b) averaging the spot price data over time for each of the geographic locations to develop a forecasting function for the price of the commodity;

c) geographically coding the averaged spot price data based on the locations for which the spot price data is obtained; and

d) providing an estimate of the commodity price for locations disposed along the route.

15. The method of claim 14 wherein the step of averaging the spot price data further comprises the step of developing an offset for the averaged spot price data for a particular geographic location to be used in forecasting the commodity price for a specified geographic location.

16. The method of claim 15 wherein the step of developing an offset comprises:

a) obtaining data pertaining to transportation route delays for the selected commodity, commodity delivery methods, original spot prices of the commodity, transportation costs for the commodity, and local and state taxes for a particular geographic location; and

b) utilizing this data to determine the offset employed in determining the estimated commodity price for the particular location.