arthurdjn / noiseplanet Goto Github PK

Hello again! Thanks a lot for your support during usage of "noiseplanet"!
When I use matching.match, it sometimes doesn't return edges
I plotted my GPS track data with the help of folium (1 photo, this is the part where noiseplanet didn't return edges)

and plotted this GPS track with the help of returned edges (2 photo , this is the part where noiseplanet didn't return edges)

I would like to share with my google colab notebook
I implemented this code, where network_type is 'drive' :
G = ox.graph_from_point(POINT, dist = AO, network_type="drive", simplify=False, retain_all=True, truncate_by_edge=True)

https://colab.research.google.com/drive/184UWW4xIOUlP8Gi7bPlM6_76VWOAlcsp?usp=sharing

Hello! Dear developers! is there full information about algorithm of noiseplanet ?
Thank you!

Error

AttributeError: module 'OSMnx' has no attribute 'get_nearest_edges'

raised in

/noiseplanet/matcher/model/nearest.py", line 87, in match_nearest_edge

Are there any plans updating this to work with the latest OSMnx version?

Hi, dear developer! I tried your example and I changed the input track to my data expressed by WGS84 coordinates as follows,

track=np.array([[104.02605, 30.62130], [104.02590, 30.62138], [104.02548, 30.62161], [104.02529, 30.62170], [104.02522, 30.62175]])
But an error was reported, I wonder the reason for this? By the way, how can I import the 'plot_html' package?

matching.match(graph, track, method='hmm') raises an exception when no matching node is found and stops the program. Can we skip the point is there is no matching node found in order to prevent the program from ending?

Hi Guys

I am trying to use the hmm model for map-matching. After running the hmm algo for various datasets, I found out that the algorithm does not match the last few data points (gps) to desired road nodes. It maps these data points to the road nodes occurring much before it.
Please find the screenshots. The highlights portion in blue color shows the points which are not matched properly.

Thanks
~ Akshay

import numpy as np
from noiseplanet.matcher.model.route import route_from_track, graph_from_track
from noiseplanet.matcher import matching
import pandas as pd

track = np.array([[22.268942156, 114.184837977],
[22.26886763, 114.184626828],
[22.26876443, 114.184181684],
[22.268763939, 114.184155534],
[22.268766766, 114.184134369],
[22.268774784, 114.184118914],
[22.268783376, 114.184106381],
[22.268798513, 114.184089471],
[22.26892887, 114.18396158],
[22.269265791, 114.183630446],
[22.269747789, 114.183162936],
[22.270157877, 114.182682855]])
graph = matching.model.graph_from_track(track)
track_coor, route_corr, edgeid, stats = matching.match(graph, track, method='hmm')

error:

---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
<ipython-input-1-b90d1030b8a8> in <module>
     17 [22.270157877, 114.182682855]])
     18 graph = matching.model.graph_from_track(track)
---> 19 track_coor, route_corr, edgeid, stats = matching.match(graph, track, method='hmm')

~/nb/p/py/noiseplanet/noiseplanet/matcher/matching.py in match(graph, track, method)
     61         track_corr, route_corr, edgeid, stats = model.match_nearest_edge(graph, track)
     62     elif method == 'hmm':
---> 63         track_corr, route_corr, edgeid, stats = model.match_leuven(graph, track)
     64     return track_corr, route_corr, edgeid, stats
     65 

~/nb/p/py/noiseplanet/noiseplanet/matcher/model/leuven.py in match_leuven(graph, track)
    123         lon_corr.append(lon)
    124 
--> 125         _, _, distance = geod.inv(track[idx][1], track[idx][0], lon, lat)
    126         proj_dist[idx] += distance
    127 

IndexError: index 12 is out of bounds for axis 0 with size 12

PS:
Origin issue is from user @1213314896

#11 (comment)

Hello dear developers! Thank for your work! I am trying to implement noiseplanet in my master thesis. I tried to use noiseplanet.matcher.matching.match(graph, track, method='hmm') to receive nearest edges for GPS points. While using this package I get this error "IndexError: index 29 is out of bounds for axis 0 with size 29". Could you help with that?
Thanks in advance

hello, when I run the code:
import numpy as np import osmnx as ox from noiseplanet.matcher import matching

why it returns the error:
AttributeError: module 'noiseplanet' has no attribute 'matcher'

thanks!

I am not able to call planet matcher as I am getting the following

from noiseplanet.matcher import matching
Traceback (most recent call last):

  File "/var/folders/dz/vjf334f52x1c7_l620cdd9480000gn/T/ipykernel_23100/48599818.py", line 1, in <module>
    from noiseplanet.matcher import matching

ModuleNotFoundError: No module named 'noiseplanet.matcher'

I am getting an error of "list index out of range" in this part of the code "edgeid[I] != edgeid[i+1]"

I already tried to change the array but it didn't work.

This is happening because the function match below is returning an empty list. Do you know why this is happening?

Some ways have feature of oneway. I can create a PR later.

Hello there,

I'm trying to use noiseplanet to correct GPS corrd.
However, when using hmm method it returns this error message.

Any ideas?

Thanks

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
/tmp/ipykernel_23918/3256148260.py in <module>
----> 1 track_coor, route_corr, edgeid, stats = matching.match(graph, lat_long_data_old, method='hmm')

~/anaconda3/envs/data-env/lib/python3.9/site-packages/noiseplanet/matcher/matching.py in match(graph, track, method)
     61         track_corr, route_corr, edgeid, stats = model.match_nearest_edge(graph, track)
     62     elif method == 'hmm':
---> 63         track_corr, route_corr, edgeid, stats = model.match_leuven(graph, track)
     64     return track_corr, route_corr, edgeid, stats
     65 

~/anaconda3/envs/data-env/lib/python3.9/site-packages/noiseplanet/matcher/model/leuven.py in match_leuven(graph, track)
     94         lat = graph.nodes[node]['y']
     95         lon = graph.nodes[node]['x']
---> 96         map_con.add_node(node, (lat, lon))
     97     edges_id = list(graph.edges)
     98     for edge in edges_id:

~/anaconda3/envs/data-env/lib/python3.9/site-packages/leuvenmapmatching/map/inmem.py in add_node(self, node, loc)
    191             if type(node) is not int:
    192                 raise Exception(f"Rtree index only supports integer keys for vertices")
--> 193             self.rtree.upsert(node, (loc[0], loc[1], loc[0], loc[1]))
    194 
    195     def del_node(self, node):

AttributeError: 'Index' object has no attribute 'upsert'

Hi, dear developer, I have a quick question，Hello, dear developer, I am a college student from China, I have a small problem, I am still running the example you gave, but there is an error in the process of running, I don't know what the problem is, I hope to get your reply, thank you!

hello, when I run the code:
import numpy as np import osmnx as ox from noiseplanet.matcher import matching

why it returns the error:
AttributeError: module 'noiseplanet' has no attribute 'matcher'

thanks!

I am trying to import the package in my notebook and I get the following error.

ImportError: cannot import name 'Transformer' from 'pyproj' (C:\Users\nzhuw\Anaconda3\lib\site-packages\pyproj_init_.py)

I am getting the following result when matching gps with nearest method

To reproduce the above,

import numpy as np
from noiseplanet.matcher import matching
from noiseplanet.ui.foroute import plot_html

track = np.load('track.npy')
np.save('track.npy', track)
graph = matching.model.graph_from_track(track)
track_corr, route_corr, edgeid, stats = matching.match(
    graph, track, method='nearest')
plot_html(
    track, track_corr=track_corr, route_corr=route_corr,
    proj=True, show_graph=True)

where track.npy is attached in track.zip.