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 results. Jon. On Tue, Apr 28, 2015 at 11:11 AM, kusala nine <[email protected]> wrote: > 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 <[email protected]> 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 <[email protected]> >> *À :* hot <[email protected]> >> *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 >> bazar6970-1salyan5045031kodari1161133pokhara2021984chautara87825jiri188 >> 17612butwal27225715tansen31129615Birendranagar59557520dipayal83681620 >> 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 <[email protected]> >> 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 <[email protected]> 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 >> >> [email protected] https://lists.openstreetmap.org/listinfo/hot >> >> >> > >> > -----BEGIN PGP SIGNATURE----- >> > Version: GnuPG v2.0.22 (GNU/Linux) >> > >> > iQIcBAEBAgAGBQJVPrvkAAoJEK7RwIfxHSXbpKQP/0aQYXGoDWoHJqiDPx0n92sF >> > wNIQ5nVdS2bOr+5BG7HBr1IIyjnmMWaqwfQa7b1PqI1qAJBI9gY2yyK2Hg0uGrj8 >> > AQvAnitwveBwJYfgL3OBH6KD1j6OQqKgeRDg/j58tPtO+n3egWQhLlxs/XO9cGmX >> > aL4TLvrkxIlBnbpPsq7/bw1J7c/XidaxNgb4MkRmNV8hx/ICn+km4UTgu/+jlpOY >> > BHICBmX4M/9t01r9WR91yLG4fYPenb2vytl077+0NItqKSwEh0FlWnfUm1e/W/06 >> > gXKx3hvbYzXEM0juN1QVYJOBi1O+KORLcMdvAlfFhSyZ1Az9pKj3s/bp9j4EwSZW >> > 6b+lrLUCKLm+JAboJ1gy/Q1/O/0Oo6iI+e8iWLPiCHGl+gO4DFJTZHU25Na3E+TQ >> > ExN25NGa94947sh10gNWmWkMB3G+7N5xX6qo/5j8Es9G2VfLnHwAIUdzIqI4n8YB >> > DJ82wDFH3JMZJW2qAwS5FQyzyz6kSsGOqJMVGz96CTLf+A74U597RqCHCjEr3rb1 >> > x/GhUawgPZDeEuPX+TFdAa2ma1kG1DOiIxejCSkgNCOrWvqXL5EK3t1viiy4yC7j >> > cEIKCGIg6Z4ZD8//SqYjxKUevHV+1jDcRgzD0AnA90vsZGzooF0eCEOy+FsCaDHJ >> > 3HYcOE6DTu7JhsaPunL/ >> > =ZC61 >> > -----END PGP SIGNATURE----- >> > >> > _______________________________________________ >> > HOT mailing list >> > [email protected] >> > https://lists.openstreetmap.org/listinfo/hot >> >> >> _______________________________________________ >> HOT mailing list >> [email protected] >> https://lists.openstreetmap.org/listinfo/hot >> >> >> >> _______________________________________________ >> HOT mailing list >> [email protected] >> https://lists.openstreetmap.org/listinfo/hot >> >> >> >
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