Quoted post said:Originally Posted by awilki01 [IMG]/img/forum/go_quote.gif[/IMG]
Nice! I'd be interested to see this in action. I have error corrected the elevation data in WKO if that helps. What bike computer would you need? I would just need to know how many watts to push and when. I have another TT at the end of the year. I'd be happy to give you any info you would need on that one.
As to elevation error correction, there are two ways to do it. The best way is to capture a course with a more precise GPS unit, one of the units more commonly associated with surveys. An example of such a unit is here: ashtech.commobilemapper 100 3821.kjspOpen ↗. Alternatively, you can post-process a GPS tracking file and correct for some known errors. A project I am working on will develop precise course files with a mobile mapping unit such as the Ashtech MobileMapper 100 unit. GPS receivers have separate error rates for the x and y planes (i.e., horizontal) and the z plane (i.e., vertical). For purposes of developing a power management strategy for a given course, the x/y-axis error of consumer GPS units is insignificant, but the z-axis error is highly significant due to the importance of grade in developing a power management strategy.
A power management strategy is basically a two-column table with cumulative distance in the 1st column and target power in the 2nd column. Of course, it has other columns for reference purposes (e.g., for each segment average grade, average elevation, total distance, estimated duration, estimated average speed, etc.). The problem is that most handlebar computers have no way of displaying these data, so implementation would require identifying transition points on the course and then figuring out some way of knowing what your target power is at each transition point. For example, if you simplify the power management strategy to a handful of transition points, you could make up a cheat sheet and tape it to your handlebar.
The input data required to develop a power management strategy include information about your fitness that you can normally derive from your ride files, your predicted weight as of the date of the ride, information about your drag which can be estimated by your weight and riding position, and information about your equipment that are used to estimate rolling resistance and wind resistance. You can get an idea of the input data requirements by looking at analyticcycling.comanalyticcycling.comOpen ↗.
If you contact me with a PM prior to your ride, I'll help you develop a power management strategy and suggest how you can identify the major transition points on the course. Often, these points represent the bottom or top of a major climb or a major change in heading.