[HOT] Nepal major road validation
kusala9 at googlemail.com
Tue Apr 28 12:22:42 UTC 2015
Hi - just a bit more info on the validation on roads. I concentrated on
Task 6 and got the following results from OSRM vs the UN document. OSRM are
in (brackets). All distances in km.
Kathmandu - Naubise 25 (30)
Naubise - Palung 37 (43)
Palung - Simbhanjyang 15 (18)
Simbhanjyang - Bhainse 41 (41) note: Bhainse = Bhaise Dovan on geonames...
Bhainse - Hetauda 11 (12)
Hetauda - Bharatpur 77 (76)
Palung - Kulekhani 21 (35) I think Kulekhani not yet fully captured and
actual location looks vague to me.
I'm using this to focus on digitising some of the Task 6 squares to get the
main road distances working. The area around Naubise may be dubious as two
of the distances are greater in OSRM. Please note that, as I said before
Kathmandu-Hetauda = 129 on the network map and 221 on the triangle map
(unless I'm suffering from lack of sleep??). Anyway, I'm moving on to task
3 (most of task 5 is outside the area of the network map)... Hope this
helps. I will also keep digitising roads in task 6 according to these
On Tue, Apr 28, 2015 at 11:11 AM, kusala nine <kusala9 at googlemail.com>
> 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.
> On Tue, Apr 28, 2015 at 11:02 AM, Pierre Béland <pierzenh at yahoo.fr> wrote:
>> From your table, I see many significative differences. Taking shorter
>> segments would help to validate further I think.
>> *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?
>> 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>
>> 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...
>> > 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
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