[HOT] Nepal major road validation

kusala nine kusala9 at googlemail.com
Tue Apr 28 05:47:01 UTC 2015


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
-153chandragadhi473624-151terhathum505654-149ilam538685-147dharan403545-142
birganj135276-141hetauda82221-139rajbiraj317456-139gaighat314452-138dhankuta
467595-128janakpur295378-83tulsipur401441-40narayanghat133144-11bhairahawa
274279-5dhunche115117-2dhulikhel3132-1lumbini300301-1trishuli bazar6970-1
salyan5045031kodari1161133pokhara2021984chautara87825jiri18817612butwal272
25715tansen31129615Birendranagar59557520dipayal83681620mahendranagar70668422
dhangadhi67665026nepalgunj52549926taplejung88783552gorkha19714057dailekh664
60559krishnagar831334497baglungno 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 place
387still 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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