Timeline for Does Google Maps take into account hills/inclines for route times?
Current License: CC BY-SA 4.0
16 events
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| Jul 15, 2019 at 21:55 | comment | added | Tor-Einar Jarnbjo | @Harper Have you read what I already commented? Just three comments further above, I wrote: 'Google ... is also without doubt using this data for car navigation'. Why should you presume that I am challenging that? You also ask 'why would they do that?' I answered that question yesterday and have not yet changed my meaning: 'I would assume that even a relatively high number of bicyclists deliver speed data with such a large scatter and distribution of values, that it is difficult to draw any half-way sensible conclusions from the data.' | |
| Jul 15, 2019 at 18:49 | comment | added | Harper - Reinstate Monica | @Tor-EinarJarnbjo The fact that Google Maps does this with automobiles is beyond dispute, and that makes sense given Google's core competency. I presume you are not challenging that. Let's create the supposition they do not do this with bicycles. That means instead of simply applying their standard model that aligns with their skills, they are conjuring up some new scheme just for bicycles. That doesn't make sense. Why would they do that? The simpler explanation is that they have a fallback in case there isn't enough usable data, but they don't highly maintain that. | |
| Jul 15, 2019 at 15:45 | comment | added | Tor-Einar Jarnbjo | @barbecue I do. Google Cloud is a runtime environment, in which paying customers can host their 'cloud' (yeah, buzzword) based applications and get access to certain services provided by Google, e.g. big-data storage or machine learning engines. It has absolutely nothing to do with how the route planners in Google Maps work or are implemented. As I have written several times: You only need to check the numbers in a few real examples of bicycle routing, to determine that this is not how the routing works. | |
| Jul 15, 2019 at 15:36 | comment | added | barbecue | @Tor-EinarJarnbjo You obviously have no or very little experience with Google cloud services. See how easy it is to make a snotty comment about a stranger? | |
| Jul 14, 2019 at 21:24 | comment | added | Tor-Einar Jarnbjo | @barbecue You have obviously no or very little practical experience with using the Google Maps route planner for bicycles if you believe this to be the correct answer. Yes, Google is collecting and evaluating movement data from most Android users and is also without doubt using this data for car navigation, but as I already pointed out with several examples, for whatever reason and at least usually does not use this approach for bicycle routing. I would guess that the available data is insufficient. | |
| Jul 14, 2019 at 19:36 | comment | added | Tor-Einar Jarnbjo | @bjmc There is absolutely nothing in the article you are linking to, which confirms that the collection of user movement is used for bicycle route planning. | |
| Jul 14, 2019 at 17:16 | comment | added | bjmc | gadgets.ndtv.com/apps/features/… | |
| Jul 14, 2019 at 16:51 | comment | added | Kyralessa | This is interesting information, but I'm not seeing any evidence for it. Could you cite a source? | |
| Jul 13, 2019 at 23:23 | comment | added | Tor-Einar Jarnbjo | Checking another road I know well with a relatively steep climb (400m altitude in less than 10km) on the other hand gives more realistic travel times (60 minutes up, 25 minutes down). There however, bicycling is prohibited, so not only is Google very unlikely to have much data from bicyclists on that road, nor do they seem able to conclude from lack of data that you are not allowed to cycle there. | |
| Jul 13, 2019 at 23:00 | comment | added | Tor-Einar Jarnbjo | As I already commented on Kyralessa's answer: Looking at Google's estimated travel times on nearby mountain roads with much bicycle traffic, the numbers are so unrealistic, that it is fairly obvious that they are not based on real data. I would assume that even a relatively high number of bicyclists deliver speed data with such a large scatter and distribution of values, that it is difficult to draw any half-way sensible conclusions from the data. | |
| Jul 13, 2019 at 20:54 | comment | added | deep64blue | This is not precisely correct, you have to specifically grant permission for this service. If you go to myaccount.google.com/activitycontrols/location you can turn on location history. When you do you will be told this- Location History saves where you go with your devices. To save this data, Google regularly obtains location data from your devices. This data is saved even when you aren't using a specific Google service, like Google Maps or Search. | |
| Jul 13, 2019 at 14:27 | comment | added | Harper - Reinstate Monica | @Criggie that should self-correct eventually if most cyclists do the same. | |
| Jul 13, 2019 at 3:08 | comment | added | Criggie | Google timeline frequently tells me I was driving or motorcycling when I commute. That's definitely a compliment to my riding speed, but I suspect they've got a threshhold value and ignore faster riding, or at least can't tell it from other means of transport. So Goog's idea of cycling speeds are arbitrarily low. | |
| Jul 13, 2019 at 1:00 | comment | added | barbecue | This is the correct answer. | |
| Jul 12, 2019 at 22:31 | history | edited | Harper - Reinstate Monica | CC BY-SA 4.0 |
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| Jul 12, 2019 at 22:26 | history | answered | Harper - Reinstate Monica | CC BY-SA 4.0 |