Freezing Saddles Heat Maps

[consularrider]

Cool, my Ukraine rides even show up.

[Sunyata]

Oooh! Cool! Looks like Team 8-Ballin’ has had riders in Korea and South Africa, in addition to Las Vegas! 😎

[S. Arlington Observer]

Excellent tool. Thank you!

[Terpfan]

Can really see the influence of cycling infrastructure like MUPs to it.

[DCAKen]

Who’s been cycling in Antarctica?

[Steve O]

@DCAKen 134358 wrote:

Who’s been cycling in Antarctica?

That’s one way to get true badass FS cred

[S. Arlington Observer]

@DCAKen 134358 wrote:

Who’s been cycling in Antarctica?

Actually, different paths show for each team, but every team (I checked) had somebody cycling there. Must be an issue with Strava. Perhaps a default location when all else fails?

[DCAKen]

@Steve O 134360 wrote:

That’s one way to get true badass FS cred

Nah, it’s summer down there.

[Raymo853]

This is simply a wonderful use of Strava’s data openness. Any chance you mind my sharing it to a few folks beyond BAFS?

Also, any chance you would be willing to share your methodology?

[americancyclo]

The “last 24 hours” view seems like it would be really useful after a big storm to see where folks abandon the MUPs for local roads when the ice or snow is too difficult to ride through.

[LeprosyStudyGroup]

[ATTACH=CONFIG]10877[/ATTACH]
Team 13 is looking bullish about your heatmaps

[chris_s]

@S. Arlington Observer 134364 wrote:

Actually, different paths show for each team, but every team (I checked) had somebody cycling there. Must be an issue with Strava. Perhaps a default location when all else fails?

Probably manual rides or some such.

[chris_s]

@Raymo853 134366 wrote:

This is simply a wonderful use of Strava’s data openness. Any chance you mind my sharing it to a few folks beyond BAFS?

Also, any chance you would be willing to share your methodology?

1) Share it far and wide. To be clear though, I can only get this data because people have authorized the Freezing Saddles app and hozn has made it available to me.
2) hozn is making everyone’s rides available to me as GeoJSON files. My code reads through the appropriate GeoJSON file, pulls the latitude and longitude for each point in each ride and shoves it into a delightful little open source library called leaflet-heat which generates the heat map for me and display it over a MapBox map that is display with mapbox-js (which is based on the open source leaflet library).

The longer-term plan is for hozn to also give me the timestamp associated with each point (in addition to lat/lng) which will hopefully let me do an animated version where you can see how the heatmap grows over the course of the time period you’re looking at.

[chris_s]

@americancyclo 134368 wrote:

The “last 24 hours” view seems like it would be really useful after a big storm to see where folks abandon the MUPs for local roads when the ice or snow is too difficult to ride through.

hozn pointed out that I could potentially intuit road & trail conditions from the ride data based on a) whether somebody traveled on it and b) what speed they did so. Something like:

No rides in last 24 hours = impassable [though you’d have to account for the fact that there are streets that people rarely ride on even in good conditions]
All rides in last 24 hours under 5 mph = difficult conditions (people are walking their bikes or biking very slow)
All rides in last 24 hours under 10 mph = use caution
More than 50% of rides in last 24 hours over 10 mph = clear

It’d probably have to be tweaked to be more sophisticated than that, but I bet you could get a pretty decent idea of road & trail conditions off of strava ride data automatically, without any manual reporting given a sufficient # of people authorizing the app.

[lordofthemark]

@chris_s 134374 wrote:

hozn pointed out that I could potentially intuit road & trail conditions from the ride data based on a) whether somebody traveled on it and b) what speed they did so. Something like:

No rides in last 24 hours = impassable [though you’d have to account for the fact that there are streets that people rarely ride on even in good conditions]
All rides in last 24 hours under 5 mph = difficult conditions (people are walking their bikes or biking very slow)
All rides in last 24 hours under 10 mph = use caution
More than 50% of rides in last 24 hours over 10 mph = clear

It’d probably have to be tweaked to be more sophisticated than that, but I bet you could get a pretty decent idea of road & trail conditions off of strava ride data automatically, without any manual reporting given a sufficient # of people authorizing the app.

City of Alexandria dispatcher – See this road (uphill near lord of the mark’s home)? The cyclists on it have consistently been riding under 10MPH. Go clear it.

City of Alexandria employee, on arrival – Whiskey Tango Foxtrot – it is completely clear!

[Author]

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