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Here are the special "Low-Key Climb Ratings" for the climbs in this year's series. The rating is in Old La Honda equivalents, where Old La Honda is by definition 100. Of course, everyone has their own idea of how steep compares with long, or with steady compares with variable, so don't associate any sort of precision to these numbers. But you can be fairly sure the climbs with the highest numbers will be challenging!
One thing to note: the climb rating formula is for individual climbs, not multiple climbs, so multi-climb weeks (4, 8) get rated according to their highest-rated climb.
| rank | week | climb | rating |
|---|---|---|---|
| 1 | 3 | Alba | 235 |
| 2 | 9 | Mt Hamilton | 209 |
| 3 | 6 | Bohlman | 209 |
| 4 | 1 | Montebello | 153 |
| 5 | 2 | Page Mill Road | 137 |
| 6 | 5 | Purisima Creek Trail | 129 |
| 7 | 7 | OLH | 100 |
| 8 | 4 | Mill Creek Road | 89 |
| 9 | 8 | Mountain Charlie | 70 |
Okay, here's the dirty details.
First the profile was extracted, typically from Garmin data if available on-line from Strava. Cosmo's Strava-to-TCX converter can be used to extract data.
Then the data were smoothed with a Gaussian of sigma 50 meters and interpolated onto a grid of 10 meter spacing. The smoothing is to correct for the "noise" present in the measurements: the Garmin-reported altitude tends to vary somewhat for a given position.
Next data were transformed to a function of time, as opposed to a function of distance. For GPS ride data, time are already available. However, the rating of a route shouldn't depend on how a given rider on a given day rode the hill, so these time data were ignored. Instead an empirical differential equation was used to product a "typical" riding rate:
Then g was further smoothed with respect to time with a Gaussian smoothing function with standard deviation 15 seconds, representing the ability of neuromuscular power and inertia to effectively smooth out very short, steep grades. The idea is if it takes more than 15 seconds to climb a steep segment, your legs really start to feel the true grade.
Now the data were ready for calculating the rating. For each 10 meter segment of road, add to a parameter f as follows:
To get the raw rating, I do the following:
The result is a raw rating with units of distance. To get the number reported here, the rating for Old La Honda was calculated, and the result divided by that and multiplied by 100. So no matter what the details (smoothing, vmax, g0), Old La Honda scores 100:
That's it!
Dan Connelly