{ "cells": [ { "cell_type": "markdown", "id": "d88f9072", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "# Map-match a track on a network\n", "\n", "
\n", "In the context of the Tracklib library, the map-matching technique aims to relate GPS track observations with edges in a reference network by applying the Hidden Markov Model (HMM) algorithm proposed by Newson and Krumm (2009) [1].\n", "
\n", "The algorithm, for each point to be map-matched, takes into account both the preceding and succeeding points, thereby ensuring overall trajectory consistency. This approach is particularly well suited for matching tracks on dense networks.\n", "
\n", "However, it can also be highly valuable in mountain environments. For instance, when two trails run alongside a stream, the algorithm prevents crossings if no infrastructure (such as a bridge) is present.\n", "
\n", "\n", "
\n", "\n", "

Fig1: Map-matching process of GPS observations to the road network (img adapted from [2])
\n", "
\n", "\n", "
\n", "Figure 1 illustrates:
\n", "\n", "

\n", "\n", "In Tracklib, the function to map-match a track on a network is:\n", "
mapOnNetwork (tracks, network, search_radius)\n", "
\n", "With:\n", "\n", "
\n", "\n", "Results are stored in Analytical Features (AF) for each track point k:\n", "\n", "\n", "
\n", "\n", "
\n", " Reference:\n", "
" ] }, { "cell_type": "markdown", "id": "06fc9e46", "metadata": {}, "source": [ "## Importing Tracklib" ] }, { "cell_type": "code", "execution_count": 1, "id": "b0e5059a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Code running in a no shapely environment\n" ] } ], "source": [ "import math\n", "import matplotlib.pyplot as plt\n", "import os\n", "import sys\n", "\n", "# Import the Tracklib library\n", "import tracklib as trk" ] }, { "cell_type": "markdown", "id": "09ce4248", "metadata": {}, "source": [ "## Loading GPS points\n", "\n", "In this tutorial, data points are stored in a csv file. The first line contained header with names of columns: \n", "
X,Y,track_fid,track_seg_id,track_seg_point_id,ele,time
\n", "\n", "Coordinates is provided in Geographic system reference and separtor caracter is the comma. The time's format is: “4Y/2M/2D 2h:2m:2s”" ] }, { "cell_type": "code", "execution_count": 2, "id": "1d5a502f", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "-------------------------------------\n", "GPS track #22245 of user 0:\n", "-------------------------------------\n", " Nb of pt(s): 52\n", " Ref sys id : ENU\n", " Starting at : 12/07/2019 15:42:35\n", " Ending at : 12/07/2019 16:48:16\n", " Duration : 3941.000 s\n", " Length : 1380.857 m\n", "-------------------------------------\n", "\n" ] } ], "source": [ "# Specify time format\n", "trk.ObsTime.setReadFormat(\"4Y/2M/2D 2h:2m:2s\")\n", "\n", "# local file path\n", "trackpath = '../../../data/csv/22245.csv'\n", "\n", "# Loading GPS points\n", "param = trk.TrackFormat({'ext': 'CSV', 'id_E':0, 'id_N':1, 'id_U':2, 'id_T':3, 'srid': \"Geo\", 'header': 1, 'separator': ','})\n", "trace = trk.TrackReader.readFromFile(trackpath, param, verbose=False)\n", "\n", "# Transform geographic coordinates in local projection\n", "trace.toENUCoordsIfNeeded()\n", "\n", "# Point 37 is forced to be outlier, so it will not to be map-matched\n", "trace[37].position.setX(trace[37].position.getX() - 45)\n", "trace[37].position.setY(trace[37].position.getY() - 15)\n", "\n", "# Display a little summary of information of the GPS track:\n", "trace.summary()" ] }, { "cell_type": "markdown", "id": "1816722c", "metadata": {}, "source": [ "## Loading the road network\n", "\n", "Data network are stored in a csv file. The first line contained header with names of columns: \n", "
WKT,link_id,source,target,direction
\n", "\n" ] }, { "cell_type": "code", "execution_count": 3, "id": "261dcd7a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Number of edges = 288\n", "Number of nodes = 216\n", "Total length of all edges = 19386.544826479814\n" ] } ], "source": [ "resource_path = './'\n", "netpath = os.path.join(resource_path, '../../../data/network/network-utgtrack-22245.csv')\n", "\n", "fmt = trk.NetworkFormat({\"pos_edge_id\": 1, \"pos_source\": 2, \"pos_target\": 3, \"pos_wkt\": 0, \"srid\": \"GEO\"})\n", "network = trk.NetworkReader.readFromFile(netpath, fmt, verbose=False)\n", "\n", "# Transform geographic coordinates in local projection\n", "network.toENUCoords(trace.base)\n", "\n", "# Print number of edges and nodes of the network\n", "print ('Number of edges = ', len(network.EDGES))\n", "print ('Number of nodes = ', len(network.NODES))\n", "print ('Total length of all edges = ', network.totalLength())" ] }, { "cell_type": "markdown", "id": "4ebd3da8-9191-4f81-8f35-96aee1d57cd9", "metadata": {}, "source": [ "## Display GPS points on the road network" ] }, { "cell_type": "code", "execution_count": 4, "id": "a3b01d66-16c7-46d5-b4f2-114d0fb2a566", "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize = (8, 5))\n", "\n", "trace.plotAsMarkers(append=True, label='raw positions')\n", "network.plot('b-', '', '', '', 1.5, plt)\n", "\n", "plt.xlim([-580, 50]) \n", "plt.ylim([-20, 180])\n", "plt.legend(loc=7)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "576c2b91", "metadata": {}, "source": [ "## Prepare, launch the map matching process and compute few stats" ] }, { "cell_type": "code", "execution_count": 5, "id": "ecdceac9", "metadata": {}, "outputs": [], "source": [ "si = trk.SpatialIndex(network, verbose=False)\n", "network.spatial_index = si\n", "\n" ] }, { "cell_type": "code", "execution_count": 6, "id": "b173ea65", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[38;2;255;165;0m 39%\u001b[39m \u001b[38;2;255;165;0m(85 of 216)\u001b[39m |######### | Elapsed Time: 0:00:00 ETA: 0:00:00" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Map-matching preparation...\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\u001b[38;2;0;255;0m100%\u001b[39m \u001b[38;2;0;255;0m(216 of 216)\u001b[39m |######################| Elapsed Time: 0:00:00 Time: 0:00:000:00\n" ] } ], "source": [ "# computes all distances between pairs of nodes\n", "network.prepare()\n", "\n" ] }, { "cell_type": "code", "execution_count": 7, "id": "dc22a720", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Launching Map-matching\n" ] } ], "source": [ "print ('Launching Map-matching')\n", "# Map track on network\n", "trk.mapOnNetwork(trace, network, search_radius=25, debug=False)" ] }, { "cell_type": "code", "execution_count": 8, "id": "4bc88a31-adc6-41e7-a513-b443d16b6fea", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Few statistics results:\n", " Number of points = 52\n", " Number of map-matched points = 51 (98.08 %)\n", " Number of off-road = 1 (1.92 %)\n", " GPS standard error = 0.2 m\n" ] } ], "source": [ "# Few statistics:\n", "print ('')\n", "print ('Few statistics results:')\n", "\n", "print (' Number of points = ', trace.size())\n", "# Nombre de points map-matchés:\n", "nbmm = 0\n", "nbhp = 0\n", "cumuldist = 0\n", "for k in range(len(trace)):\n", " ide = trace[\"hmm_inference\", k][1]\n", " if ide == -1:\n", " nbhp += 1\n", " else:\n", " nbmm += 1\n", " pmm = trace[\"hmm_inference\", k][0]\n", " pi = trace[k].position\n", " d = pi.distance2DTo(pmm)\n", " cumuldist += d\n", "\n", "percentMM = (nbmm / trace.size() * 100)\n", "print (' Number of map-matched points = ' + str(nbmm) + ' (' + str(round(percentMM, 2)) + ' %)')\n", "percentHP = (nbhp / trace.size() * 100)\n", "print (' Number of off-road = '+ str(nbhp) + ' (' + str(round(percentHP, 2)) + ' %)') \n", "\n", "# Calcul du RMSE\n", "rmse = round(math.sqrt(d/nbmm),2)\n", "print (' GPS standard error = ' + str(rmse) + ' m')" ] }, { "cell_type": "markdown", "id": "068b8e7a", "metadata": {}, "source": [ "## Display results " ] }, { "cell_type": "code", "execution_count": 9, "id": "3c91f16c", "metadata": { "editable": true, "slideshow": { "slide_type": "" }, "tags": [ "nbsphinx-thumbnail" ] }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize = (10, 7))\n", "\n", "xmin = -320\n", "xmax = -220 \n", "plt.xlim([xmin, xmax]) \n", "ymin = 30\n", "ymax = 115\n", "plt.ylim([ymin, ymax])\n", "\n", "trace.plotAsMarkers(append=True, label='raw positions')\n", "network.plot('b-', '', '', '', 1.5, plt)\n", "si.plot(base=False, append=True)\n", "\n", "for k in range(len(trace)):\n", " xp = trace[k].position.getX()\n", " yp = trace[k].position.getY()\n", " if xp >= xmin and xp <= xmax and yp >= ymin and yp <= 115:\n", " plt.text(xp+2, yp+2, str(k))\n", " \n", " xmm = trace[\"hmm_inference\", k][0].getX()\n", " ymm = trace[\"hmm_inference\", k][0].getY()\n", " plt.plot(xmm, ymm, 'go', markersize=5, label='matched positions' if k == 0 else \"\")\n", " \n", " X = [xp, xmm]\n", " Y = [yp, ymm]\n", " plt.plot(X, Y, \"r--\", linewidth=1.4, label='matching links' if k == 0 else \"\")\n", "plt.legend()" ] }, { "cell_type": "markdown", "id": "8116266b-0962-4693-9f59-7e2032c467a9", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "id": "39cd99c3-5757-4254-bfbb-a74e6e712418", "metadata": {}, "source": [ "As expected, **observation 37** is not map-matched: the index of the edge onto which the point is projected has value **\"-1\"**" ] }, { "cell_type": "code", "execution_count": 10, "id": "80d388c4-5c02-4938-b6d8-4b33a6a36b9b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Index of the edge onto which the point is projected: -1\n", "Distance to the raw observation = 0.0\n" ] } ], "source": [ "print ('')\n", "print ('Index of the edge onto which the point is projected: ', \n", " trace[\"hmm_inference\", 37][1])\n", "\n", "# Distance to the raw observation is 0\n", "p = trace[\"hmm_inference\", 37][0]\n", "d = trace[37].position.distance2DTo(p)\n", "print ('Distance to the raw observation = ', d)" ] }, { "cell_type": "markdown", "id": "4336018e-1d54-4183-8bf4-d6193bd8c1c9", "metadata": {}, "source": [ "
" ] }, { "cell_type": "markdown", "id": "d14d0113-0cb0-4d9c-a496-40455cf79f28", "metadata": {}, "source": [ "Note that **observation 40** is map-matched on a node and not on an edge of the network. " ] }, { "cell_type": "code", "execution_count": 11, "id": "6ed8bc41-bcb8-4ca2-b1a3-47982477b4a5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Distance between the map-matched point and the start vertex: 0.0 m\n", "Distance between the map-matched point and the end vertex: 245.84 m\n" ] } ], "source": [ "print ('')\n", "print ('Distance between the map-matched point and the start vertex: ', \n", " trace[\"hmm_inference\", 40][2], ' m')\n", "print ('Distance between the map-matched point and the end vertex: ', \n", " round(trace[\"hmm_inference\", 40][3], 2), ' m')" ] } ], "metadata": { "celltoolbar": "Tags", "kernelspec": { "display_name": "Python (tracklib)", "language": "python", "name": "tracklib-env" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.12" } }, "nbformat": 4, "nbformat_minor": 5 }