31–40 of 112 posts
Earlier quoted context omitted.
I'm guessing it will optimize for dedicated bike paths since you shouldn't be riding your bike on the sidewalk.
If we added bike lanes to sidewalks rather than roads I think it would solve a lot of the complaints motorists have.
Bikes are more like pedestrians than like cars.
Is there any way to see a demo of this algorithm for a route of the user's choosing? I'm not familiar enough with San Francisco to evaluate the improvement mentioned in the blog. If I could try some routes in Atlanta, however, I'd get a better sense.
I was wondering the same thing. The screenshots in the article would be more helpful if they were zoomed a little closer, at least enough to show all the street names being mentioned. A topo or shaded relief map would also help. I'm glad people are working on this. The bike directions on Google maps aren't very good, IMO
I tried this out. My city is pretty notorious for having incomplete cycling infrastructure. i.e.) you get local areas that have cycle routes, but you often have to brave some craziness to get anywhere for real.
For my most common routes, it seems to be making the same choices as Google Maps. They definitely aren't the most optimal or comfortable choices, though I suspect this is at least partially a data problem. Steep grades, stairs, and difficult to find turns (more my city's fault that anything) are on the route, and it takes you though the straightforward but less safe connectors instead of detouring through neighbourhoods.
Perhaps one more tuning parameter is needed that would allow weighting stress vs distance?
If use_roads is set to zero, will this optimize for roads that include sidewalks?
We don't route on sidewalks, and will avoid paths that are tagged `bicycle=no`. You can get a sense of these on our bike map. https://mapzen.com/bikes/
Is there a bike routing product that uses this new api that I can use? I spend hours finding the "less stressfull" bike routes. I like hills but I really value safety.
- traffic - elevation gain - type of street - a way to represent the distance overhead compare the other segments.
Any framework / dev env where I could easily get that entry point and see the top results on a map?
I love the concept. I would love to have anentry point to cost function with the following parameters: - traffic - elevation gain - type of street - a way to represent the distance overhead compare the other segments. Any framework / dev env where I could easily get that entry point and see the top results on a map?
Riding an ebike has dramatically changed the routes I take when commuting because I now prioritize safety and enjoyment over pure efficiency or avoiding inclines. My commute is 25 minutes on an ebike vs 70 on a regular bike, or 30 in a car in traffic.
Is there any way to see a demo of this algorithm for a route of the user's choosing? I'm not familiar enough with San Francisco to evaluate the improvement mentioned in the blog. If I could try some routes in Atlanta, however, I'd get a better sense.
I was wondering the same thing. The screenshots in the article would be more helpful if they were zoomed a little closer, at least enough to show all the street names being mentioned. A topo or shaded relief map would also help. I'm glad people are working on this. The bike directions on Google maps aren't very good, IMO
I agree, but they are certainly better than nothing. There are so many times I have wished for a real-time, traffic sensitive routing feature on Google Maps when it comes to bikes.This usually happens around rush hour when I am pinned up against the shoulder trying to take the lane and being cursed and buzzed repeatedly.
I am also really glad people are working on this, it is really cool and so full of potential.