Hello Mr Jakob,
I am sorry to bother again, but I replaced the line of code I had with the one you provided, and the simulation looks just the same. The vehicle drives by the side of the road the whole time, and it also seems not to have the right angle. This is how my
code looks like now:
x,y = df_dropped_1st_veh_instance['Local_X'].iloc[k], df_dropped_1st_veh_instance['Local_Y'].iloc[k]
lon, lat = net.convertXY2LonLat(x * 0.3048, y * 0.3048, True)
x2, y2 = net.convertLonLat2XY(lon, lat, rawUTM=True)
traci.vehicle.moveToXY(traci_veh, '', 0, x2, y2, angle, 2)
for the angle I used INVALID_DOUBLE_VALUE and transformed it to radians.
Here is a sample of the data I have:
Local_X Local_Y Global_X Global_Y
0 16.467 35.381 6451137.641 1873344.962
1 16.447 39.381 6451140.329 1873342.000
2 16.426 43.381 6451143.018 1873339.038
3 16.405 47.380 6451145.706 1873336.077
4 16.385 51.381 6451148.395 1873333.115
5 16.364 55.381 6451151.084 1873330.153
6 16.344 59.381 6451153.772 1873327.192
7 16.323 63.379 6451156.461 1873324.230
Thank you in advance,
Thais Gama
Von: Jakob Erdmann <namdre.sumo@xxxxxxxxx>
Gesendet: Montag, 8. Oktober 2018 12:51
An: Gama Lins de Araujo, Thais; Sumo project User discussions
Cc: sumo-user
Betreff: Re: [sumo-user] use State Plain Coordinates to move vehicle (MoveToXY)
Hello,
the position conversion functions provided by traci and libsumo only support the projection embedded in the .net.xml file. In case of an OSM import this means it will always transform between meters and WGS84 lon,lat.
Since NAD83 and WGS84 are within 1m of each other, you could use
net.convertXY2LonLat(x_feet * 0,3048, y_feet * 0,3048, True)
(The third argument is for using raw UTM values instead adding the network offset)
regards,
Jakob
Hello Mr. Behrisch<https://sourceforge.net/u/behrisch/> / Erdmann<https://sourceforge.net/u/namdre/>,
I would like to know if there is a way in SUMO that I can directly use CA State Plane NAD83 coordinate in feet to move vehicles in a network with the moveToXY command, or do I need to do any transformations before hand?
When I use this piece of code (I got from
http://sumo.dlr.de/wiki/Tools/Sumolib#coordinate_transformations) I seem to get reasonable results for latitude and longitude, but the x and y resulting from conversion are not matching the network. When I run this code:
x,y = df_dropped_1st_veh_instance['Local_X'].iloc[k], df_dropped_1st_veh_instance['Local_Y'].iloc[k]
#x, y = traci.vehicle.getPosition(traci_veh)
lon, lat = traci.simulation.convertGeo(x, y)
x2, y2 = traci.simulation.convertGeo(lon, lat, fromGeo=True)
#x, y = net.convertLonLatXY(lon, lat)
print 'x=%4.6f y=%4.6f' % (x2, y2)
the vehicle drives off the road network the whole time. In this case I am using the local coordinates (Local_X and Local_Y) which are described as: "Lateral (X) coordinate of the front center of the vehicle with respect to the left-most edge of the section
in the direction of travel". When I use the Global coordinates (Global_X and Global_Y) my vehicle will just stand outside the network for the whole time, and those are the actual geo coordinates, described as such: "CA State Plane NAD83 coordinate".
i know my network is in datum=WGS84, by the information given in the network xml file, and that it is shifted by the netOffset parameter.
I wonder if that might be the problem?
<location netOffset="-561583.51,-4188054.44" convBoundary="205.71,83.75,327.03,729.01" origBoundary="-122.300034,37.837827,-122.295689,37.846489" projParameter="+proj=utm +zone=10 +ellps=WGS84 +datum=WGS84 +units=m +no_defs"/>
PS.: i need high accuracy and precision, the vehicles should move exactly according to my coordinates, provided in the data I have. The data is very big (more than 1Gb), so I am sending only a subset of it, which refers to one car only. And also my code and
files to run the simulation, in case those are needed.
Thank you in advance for your help,
Thais
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