Weather comfort forecasting for riders of motorcycles and other exposed-rider vehicles

• US 20130151454A1
• Filed: 12/10/2012
• Published: 06/13/2013
• Est. Priority Date: 12/09/2011
• Status: Abandoned Application

• Current Assignee: Wil Mccarthy
• Original Assignee: Wil Mccarthy
• Inventors: McCarthy, Wil
• Application Number:
  US13/710,213
• Publication Number:
  US 20130151454A1
• Time in Patent Office: Days
• US Class Current: 706/46
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation

Abstract

A method for predicting and reporting rider comfort on exposed-rider vehicles uses weather report data and riding speeds to calculate an effective temperature. Personal preferences may also be set and considered to provide predictive information and recommendations particular to sensibilities of individual riders. This method may be used as an aid to planning ride times, durations, and wardrobe choices as a function of time of day and planned riding speeds.

Claims

1. A method performed by a computer system for predicting and reporting rider comfort for exposed-rider vehicles, comprising

receiving into the computer system input data including weather prediction data;

calculating with a computer processing unit in the computer system an effective temperature based on ambient temperature, wind velocity, and vehicle velocity; and

presenting to an output device or component the effective temperature as a function of time of day and riding speed such that a rider is presented with an enhanced ability to predict comfort and safety of rides at particular times and speeds.

2. The method of claim 1 further comprising

receiving input of user preference data with respect to particular weather conditions;

and wherein

the calculating operation further comprises calculating the effective temperature based upon the user preference data.

3. The method of claim 1, wherein the calculating operation further comprises basing the effective temperature calculation on one or both of sunlight or humidity information.

4. The method of claim 1, wherein the presenting operation further comprises presenting the effective temperature data in one or more of the following formats:

textually, numerically, in the form of color codes, audibly, or overlaid on top of map data.

5. The method of claim 1 further comprising incorporating the effective temperature data into trip planning software.

6. The method of claim 1 further comprising incorporating the effective temperature data into a separate weather report.

7. A method performed by a computer system for predicting and reporting rider comfort for exposed-rider vehicles, comprising

receiving into the computer system input data including weather prediction data;

optionally receiving input of user preference data with respect to particular weather conditions;

calculating with a computer processing unit in the computer system an effective temperature based on ambient temperature, wind velocity, and vehicle velocity; and

calculating using the computer processing unit in the computer system a GO/NO-GO recommendation for particular travel times based on the calculated effective temperature and user preference data.

presenting to an output device or component the GO/NO-GO recommendation as a function of time of day such that a rider is presented with an enhanced ability to predict comfort and safety of rides at particular times and speeds.

8. The method of claim 7, wherein the calculating operation further comprises basing the effective temperature calculation on one or both of sunlight or humidity information.

9. The method of claim 7, wherein the user preference data includes values for one or more of the following types of data:

ambient temperature, ambient wind speed, precipitation, or level of light or darkness.

10. The method of claim 7, wherein the presenting operation further comprises presenting the GO/NO-GO recommendation in one or more of the following formats:

textually, numerically, in the form of color codes, audibly, or overlaid on top of map data.

11. The method of claim 7 further comprising incorporating the GO/NO-GO recommendation into trip planning software.

12. The method of claim 7 further comprising incorporating the GO/NO-GO recommendation into a separate weather report.