[HOT] Nepal major road validation

Tue Apr 28 10:11:01 UTC 2015

I agree -  a good methodology is to use the smaller tree diagram to
validate in dividual distances and look at where they differ significantly.
The UN doc itself is inconsistent. If you look at Kathmandu to Hetauda the
tree diagram distances don't add up to the distance in the triangular table
(89km vs 211km!). The tree distances are much closer to the OSRM distances
and you can work on smaller ones. I managed to validate the distances
within task 6 last night fairly quickly. I'll write the results up and post
them on later today.

Jon.

On Tue, Apr 28, 2015 at 11:02 AM, Pierre Béland <pierzenh at yahoo.fr> wrote:

> Great
>
> From your table, I see many significative differences. Taking shorter
> segments would help to validate further I think.
>
> cheers
>
>
> Pierre
>
>   ------------------------------
>  *De :* kusala nine <kusala9 at googlemail.com>
> *À :* hot <hot at openstreetmap.org>
> *Envoyé le :* Mardi 28 avril 2015 1h47
> *Objet :* Re: [HOT] Nepal major road validation
>
> I did quick comparison just using names from the distance calculator from
> kathmandu (results below) but now moved onto checking using the smaller
> network diagram. this lets you concentrate on areas which are in the
> current task manager tasks. Just finishd Task 6 last night and they look
> pretty good covering Kathmandu, Hetauda, Bharatpur, Palung and Bhampali.
> I've since digitised roads in a couple of key tiles based on km distance
> discrepancies and when I've finished those I'll move on to task 3. The
> triangular distance table is good but points to a lot of discrepancies in
> the longer distances which are out of the target zones.  I'm happy to
> digitise the triangular table though if anyone wants to try the URL method
> to identify areas of difference. I'm using NGAs geonames service to
> identify differences in place naming - what should we do when there's a
> difference? e.g "Bhainsie = Bhaise Dovan". Can I attribute a synonym?
>
>
> *place**OSM**UN**difference**Comments…*baitadi8421168-326biratnagar396549
> -153chandragadhi473624-151terhathum505654-149ilam538685-147dharan403545
> -142birganj135276-141hetauda82221-139rajbiraj317456-139gaighat314452-138
> dhankuta467595-128janakpur295378-83tulsipur401441-40narayanghat133144-11
> bhairahawa274279-5dhunche115117-2dhulikhel3132-1lumbini300301-1trishuli
> bazar6970-1salyan5045031kodari1161133pokhara2021984chautara87825jiri188176
> 12butwal27225715tansen31129615Birendranagar59557520dipayal83681620
> mahendranagar70668422dhangadhi67665026nepalgunj52549926taplejung88783552
> gorkha19714057dailekh66460559krishnagar831334497baglungno route271Baglung
> not connected - closest major place is pokharaBarhabiseno place111no such
> place. Closest OSM place is Mangalsen by wikipedia's coordinates.
> kakarbhittano place618not inOSM. Closest is charali = 1036km
> (charali-kakarbhitta=11km)sindhullmadhino place387still looking….
>
>
>
> On Tue, Apr 28, 2015 at 12:53 AM, Andy Anderson <aanderson at amherst.edu>
> wrote:
>
> Hi, Andrew,
>
> The documentation says “The results are network distance, i.e.
> travel-time, in 10th of seconds.” It’s hard to translate that into
> distances without the speeds assigned to road segments. If one knows the
> type of road and what the “common” speed is for that type of road one can
> make an estimate, but it could still be quite far off. Do you have any
> guidance on how to get road segment information? If one needs to download
> the road data itself, then the length of the segments should be there, too.
>
> — Andy
>
> On Apr 27, 2015, at 6:44 PM, Andrew Buck <andrew.r.buck at gmail.com> wrote:
>
> > -----BEGIN PGP SIGNED MESSAGE-----
> > Hash: SHA1
> >
> > The OSRM distance table calculator is documented here...
> >
> > https://github.com/Project-OSRM/osrm-backend/wiki/Server-api#distance-ta
> > bles
> >
> > Basically you feed it a url with a bunch of lat/lon pairs are
> > parameters (say for the 10 largest cities in the area) and then it
> > creates a 10x10 table of the distances from every city to every other
> > city.  So we can duplicate the table in the top right corner of the
> > PDF, we just need someone to get the lat/lon of each of those cities
> > and feed them into the api call documented above.  If our distances
> > are signifigantly greater than the PDF distances listed for any
> > entries then that probably indicates a problem in our data on the road
> > between those cities.
> >
> > - -AndrewBuck
> >
> >
> > On 04/27/2015 07:57 AM, Pierre Béland wrote:
> >> http://un.org.np/node/10028, shows road distance of major cities
> >> from kathmandu. Look at the pdf files that shows distance of
> >> various road segments. Any volunteer to use this data and compare
> >> with OSRM's distance matrix tool? If distances are significantly
> >> different, this would indicate missing connecting roads or wrong
> >> tag like path.
> >>
> >> Pierre
> >>
> >>
> >>
> >>
> >>
> >> _______________________________________________ HOT mailing list
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> >>
> >
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