[OSM-dev] Gosmore preferring unsealed tertiary route

Graham Jones grahamjones139 at googlemail.com
Mon Aug 10 20:45:00 BST 2009


Trying to predict speeds theoretically is always going to be very error
prone - you could imagine trying to get very clever and keep track of
gradients and a sort of 'sinuosity' (or bendiness as I prefer to call it),
but I'm not convinced it will be that reliable - you will have to put some
big uncertainties on it.

I think it might be interesting to collect actual journey times by asking
people to submit GPX tracklogs (and tell us what sort of vehicle they were
using) - you could split the track log up to 'segments' between junctions,
then calculate the journey time for each road segment for different vehicle
types.

It would take a bit of setting up to encourage people to submit the track
logs, but it would be fairly easy to automate the calculation and collect
the statistics.  You could even monitor journey times over a long period to
see if they are getting longer or shorter as the roads get busier....

I imagine this dataset being something separate to the main OSM data - it
could be a relation for each road segment that could be picked up by routers
from somewhere else.   Herman Krauss has done something similar (but for
altitude profiles) for his Google Summer of Code project, so the code to
produce the relations exists, we would just need to link it to the GPX track
log database to do the calculations.


Graham.

2009/8/10 John Smith <delta_foxtrot at yahoo.com>

>
> --- On Mon, 10/8/09, Lambertus <osm at na1400.info> wrote:
>
> > Yes, but as they are often represented as a node in OSM,
> > giving them an average speed is meaninless. A time or point
> > penalty seems more suitable.
>
> It works out to be 1.5s of lost time for a speed hump, traffic lights are
> harder to predict if you're lucky you'll get a good run of them, unlucky and
> you might have 3-5min per traffic light.
>
>
>
>
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-- 
Dr. Graham Jones
Hartlepool, UK
email: grahamjones139 at gmail.com
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