{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "_Since we announced [our collaboration with the World Bank and more partners to create the Open Traffic platform](https://mapzen.com/blog/announcing-open-traffic/), we’ve been busy. We’ve shared [two](https://mapzen.com/blog/open-traffic-osmlr-technical-preview/) [technical](https://mapzen.com/blog/osmlr-2nd-technical-preview/) previews of the OSMLR linear referencing system. Now we’re ready to share more about how we’re using [Mapzen Map Matching](https://mapzen.com/blog/map-matching/) to “snap” GPS-derived locations to OSMLR segments, and how we’re using a data-driven approach to evaluate and improve the algorithms._"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "# A \"data-driven\" approach to improving map-matching, Part I"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Mapzen has been testing and matching GPS measurements from some of Open Traffic’s partners since development began, but one burning question remained: were our matches any good? Map-matching real-time GPS traces is one thing, but without on-the-ground knowledge about where the traces actually came from, it was impossible to to determine how close to — or far from — the truth our predictions were.\n",
    "\n",
    "Our in-house solution was to use Mapzen's very own [Turn-By-Turn](https://mapzen.com/products/turn-by-turn/) routing API to simulate fake GPS data, send the synthetic data through the [Mapzen Map Matching](https://mapzen.com/blog/map-matching/) service, and compare the results to the original routes used to simulate the fake traces. We have documented this process below:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## 0. Setup test environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "from __future__ import division\n",
    "from matplotlib import pyplot as plt\n",
    "from matplotlib import cm, colors, patheffects\n",
    "import numpy as np\n",
    "import os\n",
    "import glob\n",
    "import urllib\n",
    "import json\n",
    "import pandas as pd\n",
    "from random import shuffle, choice\n",
    "import pickle\n",
    "import sys; sys.path.insert(0, os.path.abspath('..'));\n",
    "import validator.validator as val\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "source": [
    "#### User vars"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "mapzenKey = os.environ.get('MAPZEN_API')\n",
    "gmapsKey = os.environ.get('GOOGLE_MAPS')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "source": [
    "## 1. Generate Routes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "The first step in route generation is picking a test region, which for us was San Francisco. Routes are defined as a set of start and stop coordinates, which we obtain by randomly sampling venues from Mapzen’s [Who’s on First](https://whosonfirst.mapzen.com/) gazetteer for the specified city. Additionally, we want to limit our route distances to be between ½ km and 1 km because this is the localized scale at which map matching actually takes place.\n",
    "\n",
    "In this example, we specify 200 fake routes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "cityName = 'San Francisco'\n",
    "minRouteLen = 1     # specified in km\n",
    "maxRouteLen = 5     # specified in km\n",
    "numRoutes = 200"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "#### a) Get random start and end coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "# Using Mapzen Venues (requires good Who's on First coverage)\n",
    "routeList = val.get_routes_by_length(cityName, minRouteLen, maxRouteLen, numRoutes, apiKey=mapzenKey)\n",
    "\n",
    "## Using Google Maps POIs (better for non-Western capitals):\n",
    "# routeList = val.get_POI_routes_by_length(cityName, minRouteLen, maxRouteLen, numRoutes, gmapsKey)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "A sample route:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "({u'Cabovida Dvelopments A Cal Ltd': {'lat': 37.775456, 'lon': -122.406369}},\n",
       " {u'Palomar Group': {'lat': 37.788245, 'lon': -122.409508}})"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "myRoute = routeList[2]\n",
    "myRoute"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "#### b) Get the route shapes and attributes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "For each route, we then pass the start and end coordinates to the Turn-By-Turn API to obtain the coordinates of the road segments along the route:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "shape, routeUrl = val.get_route_shape(myRoute)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "The Turn-By-Turn API returns the shape of the route as an [encoded polyline](https://developers.google.com/maps/documentation/utilities/polylinealgorithm):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'mes`gAv}anhFtUr[q{@vkAgOnS{EaHqRwWuY{`@sLePoMcQiMqQqMcQiCwD}TsZ}Yz`@cV`\\\\mYj`@{Zxa@}U`\\\\}Yj`@}Yj`@cUd[wTbZmDlKO\\\\Ol@}D|IsAzAwC|@sp@nHcy@|J}x@lJmy@|Jey@|J}OhBuThCqRxBaLqeBqCuc@'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "The route shape then gets passed to the map matching service in order to obtain the coordinates and attributes of the road segments (i.e. edges) that lie along the original route:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "edges, matchedPts, shapeCoords, _ = val.get_trace_attrs(shape)\n",
    "edges = val.get_coords_per_second(shapeCoords, edges, '2768')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "We can inspect the attributes returned for our example route:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
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       "      <th>density</th>\n",
       "      <th>oneSecCoords</th>\n",
       "      <th>segment_id</th>\n",
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       "              id  begin_shape_index  end_shape_index  length  speed  density  \\\n",
       "0  3738534172576                  0                1   0.057     40       15   \n",
       "1   962716097074                  1                2   0.153     35       15   \n",
       "2   931778910770                  2                3   0.041     35       15   \n",
       "3  3780477212576                  3                4   0.018     40       15   \n",
       "4  4122363320224                  4                5   0.049     40       15   \n",
       "\n",
       "                                        oneSecCoords    segment_id  \\\n",
       "0  [[-122.40638, 37.775463], [-122.406469252, 37....  497780021152   \n",
       "1  [[-122.406916267, 37.7751617604], [-122.406994...   39633672754   \n",
       "2  [[-122.408144091, 37.7761309014], [-122.408222...   39633672754   \n",
       "3  [[-122.408302818, 37.7763981724], [-122.408249...          None   \n",
       "4  [[-122.408159625, 37.7765096426], [-122.408070...          None   \n",
       "\n",
       "   num_segments starts_segment ends_segment  begin_percent  end_percent  \\\n",
       "0             1           True         True            0.0          1.0   \n",
       "1             1           True         True            0.0          1.0   \n",
       "2             1          False        False            0.0          1.0   \n",
       "3             0           None         None            NaN          NaN   \n",
       "4             0           None         None            NaN          NaN   \n",
       "\n",
       "  begin_resampled_shape_index end_resampled_shape_index  \n",
       "0                        None                      None  \n",
       "1                        None                      None  \n",
       "2                        None                      None  \n",
       "3                        None                      None  \n",
       "4                        None                      None  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "val.format_edge_df(edges).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## 2. Iterate Through Routes, Generate Fake GPS, and Score the Matches"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "#### a) Define the noise levels and sample rates for synthetic GPS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Now that we have a set of \"ground-truthed\" routes, meaning route coordinates and their associated road segments, we want to simulate what the GPS data recorded along these routes might look like. This involves two main steps:\n",
    "1. resampling the coordinates to reflect real-world GPS sample frequencies\n",
    "2. perturbing the coordinates to simulate the effect of GPS \"noise\"\n",
    "\n",
    "To resample the coordinates, we use the known speeds along each road segment to retain points along the route after every $n$ seconds.\n",
    "\n",
    "To simulate GPS noise, we randomly sample from a normal distribution with standard deviation equal to a specified level of noise (in meters). We then apply this vector of noise to a given coordinate pair, and use a rolling average to smooth out the change in noise between subsequent \"measurements\", recreating the phenomenon of GPS \"drift\"."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "![my gif](make-some-noise.gif)\n",
    "\n",
    "<center><i>A route (blue line) is resampled at 5 second intervals (blue dots). The resampled points are then perturbed with noise sampled from a gaussian distribution with mean 0 and standard deviation of 60. The resulting “measurements” (red dots) represent a simulated GPS trace.</i></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "\n",
    "Since we are interested in assessing the performance of map-matching under a variety of different conditions, we define a range of realistic sample rates and noise levels:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "sampleRates = [1, 5, 10, 20, 30]    # specified in seconds\n",
    "noiseLevels = np.linspace(0, 100, 21)    # specified in meters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "#### b) Defining a validation metric"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "In order to validate our matched routes, we need an effective method of scoring. Should Type I error (false negatives) carry as much weight as Type II (false negatives)? Should a longer mismatched segment carry a greater penalty than one that is shorter?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "We adopt the scoring mechanism proposed by [Newton and Krumm (2009)](https://www.microsoft.com/en-us/research/wp-content/uploads/2016/12/map-matching-ACM-GIS-camera-ready.pdf), upon whose map-matching algorithm the Meili service is based:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "<img src=\"krumm_newson_dist.png\" alt=\"Drawing\" style=\"width: 400px;\" align=\"center\"/>\n",
    "<center><i>From Newton and Krumm (2009)</i></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "In the above schematic, $\\text{d}_+$ refers to a false positive or Type I error, while $\\text{d}_-$ represents a false negative, or Type II error. The final reported error is a combination of both types of mismatches, weighted by their respective lengths."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "#### c) Generate the scores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Behind the scenes, the `get_route_metrics()` function will perform the following actions:\n",
    "1. resample points along a given route at each of the specified sample rates\n",
    "2. apply gaussian noise to each of the resample points at each of the specified noise levels\n",
    "3. pass these synthetic measurements to the Open Traffic Reporter and record the matched routes that are returned\n",
    "4. compare the segments on the \"matched\" route to the segments of the original route and score the results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "matchDf, _, _ = val.get_route_metrics(routeList, sampleRates, noiseLevels, saveResults=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Iterating through each our 200 routes at 5 sample rates and 21 levels of noise, we simulate 21,000 distinct GPS traces. We then pass each of these simulated traces through to the map-matching service, and compare the resulting routes against the ground-truthed, pre-perturbation route segments."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "![my gif](mm-noise.gif)\n",
    "\n",
    "<center><i>The same route is perturbed with varying levels of gaussian noise (red dots) with standard deviations ranging from 0 to 100 m. The resulting matched routes are shown as red lines, which only deviate from the true route at higher levels of noise.</i></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "The previous step will typically take a long time to run if you are generating a lot of routes (> 10), so it's a good idea to save your dataframes for later use."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true,
    "deletable": true,
    "editable": true
   },
   "outputs": [],
   "source": [
    "matchDf.to_csv('{0}_{1}_matches.csv'.format(cityName, str(numRoutes)), index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "#### d) Check for Pattern Failure"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Ensure that the Reporter is not failing frequently for any particular sample rate or noise level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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O1DgmXfKu44+UIG4VHm3JgXKCv6Rfwsz8B+WHwHnAwRFxDDAvIj5dlXeEUsl3vq/RK5t9\ng5s2Cztej3TZZ+dnBfWO4SOvM3Ok+vHTtwtqZr4pIj5PCbZ2Aj4RES9vH7siTSNLWl3zI8oP2y0o\nXT0/T7lg9SXKeIEHKePJBtXvnDNef6zK1G4Vyjn5trZtOlufV6OcFxcZ7F11jTqKMlHAk4GlM/OH\n1bqLKMFY38AjMx+OiOOB/SgBzCIXr6qW5XN4dMzd7Tw6frHfIOu69dTA52Ye+13upVf92215t+99\n57Je+1MPPQOPiFie8kPv7ZSZaq4EfgNcCtxP6W4wF/gI8OmIuIAyc8KPuu5QE3UQ8P2I+HJm3kIZ\nqLtWRMxta/5+MqXv7VVVmjuA1SOi1XZVeZOO/T7Aoq0Hv6T05324bXDZIqorzl8DvhYR3wdOioi3\n97ia3y2fOrYGbm7vbtUx/mMi+4YyYPn9EfHKzDyd8tndTxnsd0GPNKPTHHbmeQeLfr6dr8erzjG5\nilJJtBtrGsHLKSf4HSiDComItSlXe346YBmvopxTlgV+Ralg1sjMC3tsfzWwc8eyLbttOI5yjHUM\n6+h1nMnM31DOh5+qvvu702UgvjQNTeu6JjPvjYhfUq58L1/lsRTlKvzr6D2+Y9SDXcrZlJ8BHxvt\nmlQt24Fy/rq8bZuXd6TbAfhFj/fxUeCCzLw0IkZb90ctTf33diwl8Di7+h50ehol0NgvM68HiIjO\n8Y7dzqGj5+ftKONTpqqrgWfz2FaPZ/Pod17j1K/F43rKj4cPUvrA39Nrw4jYFPh34PSIOKitT5yG\nJDMviogrKYOf3km5yvAb4BvVWIAW8N+Uk+zoj62LKM2f+0XEyZQrHZ2za8ynzB7xDMrV4Xuqff8E\n+E6UGTZ+T7nisiPww8z8UUQcXOV1JeV79Erguh5BR9d8+mzb7hpKpfc6ygn4hZSxA8PYN5l5d3Wl\n/qCI+HZm3lNdsf90lIGPl1Culm1FqRy/TLmy83fghVFmQflH1QR/AfChiHhzle6VlMCp5/0wBjDm\nMaF0j/hpROxLGXy9LWUgZL/3f1dEfAU4LCJup1xB+yylmbtrF4qIWBk4hXJCvoLyndmc0n3h/Cwz\nsdwdEd8AjouIfSjflZWqMl1XBXlHUYK+T1PGi/wLj3Z7G/dND2sewzpuqMrxkoj4LuWYr1qV8UzK\nANcnUyYK+OJ4yytNJUtAXTNann2AH2TmQ8BDEfFzyiDpA8f4COYD20XExZRunuO+n0mUCTRWolyk\npQoEAK7NMhD+XMr7OqE6T65MGRB+dHUehXKefFfVyjraarMHi9aDRMRGlOBq02pRAgsj4u1VPttR\nZhocU9WdbhUebaHudCMlgHhXRBxJuVjVue9FzqHV+flw4JMRcT/l/LwysFlmTvQ8ukxEdLYOPZSZ\nd3Tdur/DKLObXU45TjtSPttBJ5NRh37NVi/MzB0y8xv9gg6AzPxVlmnQ1mVi/T3V32eBPSNi3eqq\n0sspV5ouovRj/SPw8tErTpl5NWUA71spPxB3oMwm0e40ykC786t97ValfzGlUjmacvL6FmXK2dEr\nH/dTBgH/hlJxLE/p2tLLIvnUecPV4LLDKM3lo+/hgGHsu83hlKs3u1avR7sZfIBysj6PMjvH9VWZ\nFgLvoTRl30KZ5Yiqq81BlM/lckplM5T58Osck8y8lNIk/g7KZ/VKHu0u0c/7KLNLfZNyLO8FXlZV\n2N3cS2n53JsyfeKVlO/ViZRZX0a9iTKz1aGUHxTfo4yrGZ004AbK57oT5Xv0PsrnB2UA/kT0PYZ1\nZObNlB8pn6B0eziCMkZoA0rgdQ1lpq5vUGZEkZYU07muoSrj7Kq8/ZZ1sw+l6+1NlIuvE3FwtY/R\nadF/VT02B6jOsS+hnFd+QjkHn07blKxVa8KLKefOX1NaNN6Tmae1Z1RdZPky8L7R32xZBuy/gXIB\n+QzgEznATW8z8y/56KD/znV3UFp6X05pBTiQx05K0OscCrAv5Zy5P6Vl4TRg7brl6mN74NaOx7iO\nYWZ+mzLl/fso729vyo11O8dRakCtkZFxX1iUpKGKiL0plfUTM/PhyS6PJEkanlqzWkXEasBybf34\nWpTZLzaidK0wApQ0sIjYizJH+x2UrlD7A8cZdEiStOSpOyPDcZTmplEHUbqQ7AicEWVOf0ka1FMp\nXQCupvQPPorSLUCSJC1hanW1iog/Am/PzG9X0+veBhyWmYdGxEHAzpk5rNl7JEmSJC1h6t5AcAUe\nnS96M8osDd+oXl9AGYwlSdLAIuJY4KWUOxxv3GV9izIJxIspA3H3yMxfLt5SSpImqm5XqwU8elfg\nlwC/r2YrgBKUTHQGGknSzHUcpetuLy8C1q8eb8XpiyVpWqrb4nEscGhEbE8JPPZtW7cVpX/2lNJq\ntZyuS5JqGBkZGc9d74cmMy+JiLl9NtkZOKGafvXSiFgxItbMzFuHWQ7rDUmqZ7z1Rq3AIzM/GRE3\nA1tQ5jVuv5PjSsAx48m8aSMjtaerlqQZqdXafMxtVmwtNXIXC2vtb9asWXc99alPXaFj8UGZOW/w\n0j1iLcp9FUYtqJYNNfAA6w1pJjmo9doJpT9w5MQhlWRwk1n2OvVGL3VbPMjME4ATuix/+7hzlyRN\neXexkIPZoNa2Bzx8zQqZOewWlG77s3VCkqaZnmM8xmj27pVmVkSsM6ESlf0cGxG3R8TvJrovSdLE\nLV3z0ZAFQHvdsjaP3tlakjRN9Btc/tuI+EZEPL+aUaSniFg7IvYBrgV2HUK5jqP/QENJ0mK0VM1H\nQ84E3hgRrYjYCrhr2OM7JEnN69fV6mnAx4DvAvdFxP8CvwP+BNwPrAisR5ledyPgCuBDmXnqRAtV\nY6ChJGkxarA1g4g4CdgWWCUiFgAHUsUxmXkUcDZlKt1rKdPpvqnB4kiSGtIz8Kimy31HRHwIeA3w\nfODlwBrAssBfgKQEJm/KzMubL253ETGPUlFJkhpQe0DgOGTmbmOsHwH2Gmae1huStPiNWZdk5j2U\nWaum5MxVANVsKfPalzktoiQNT5MtHpPBekOSFr8mL2JJkpYQDY7fkCTNEAYekqQxWVlIkiaq36xW\nk6YaaPiz8jQWRMSek10mSZrJJnk6XUnSEmBKXsQaa6ChJGnxMqiQJE3UlAw8JElTi5WFJGmiBqpL\nqhsJrk25g+xvMvNvjZRKkjSlOLhckjRRtcd4RMQ7gZuBG4AfAVEtPz0i3ttM8SRJU8FSs0ZqPSRJ\n6qVW4BERHwQ+CxxNuZFgq231RZQbDEqSllCzWvUekiT1Urer1V7AAZl5aETM7liXwAbDLZYkaSqZ\nPbtma8ZDzZZDkjR91Q081gAu77HuYWDZ4RRHkjQVzWm4G1VE7AgcDswGjsnMQzrWPwk4Hlix2uYj\nmXl2o4WSJA1V3cDjWmAb4Pwu654LXDW0EkmSppw5dVs8xqFqST8S2AFYAFwWEWdmZnvd8jHgW5n5\nxYjYCDgbmNtYoSQt8Q4cOXGyizDj1A08Pg/8T0Q8AJxaLVuturHf+4H/aKJwkqSpYVar0RaPLYFr\nM/M6gIg4GdiZx17UGgH+qXq+AnBLkwWSJA1frcAjM4+JiCcCBwAHVYvPBu4D5mWmIaMkLcEGafGI\niM6ND8rMeX2SrAXc1PZ6AfDMjm3mAedGxLuB5YDtaxdIkjQl1L6PR2YeFhFHAc8CVgH+AvwsM+9q\nqnCSpKlh9gBjPDJz0Pmtum3fmeFuwHGZ+ZmIeBbwtYjYODMfHjAvSdIkqRV4RMQbgbMy88/AuR3r\nVgJempknNFA+SdIUMLv2XZ/GZQHlxrSj1mbRrlR7AjsCZObPImJZykWw2xstmSRpaOq2eHyV0tLx\n5y7r1qvWDzXwiIj5wD2UyRkXZubmw9y/JKm+QVo8xuEyYP2IWI9yo9pdgdd2bHMjsB1wXERsSJlN\n8Y4mCyVJGq66gUe/ZvOVgbuHUJZunpeZf2po35Kkmpqc1SozF0bEu4BzKFPlHpuZV0bEwcAvMvNM\nYB/g6Ih4H6Ub1h6Z6a3SJWka6Rl4RMTOlFlFRu0fEZ1Xl5YFnkO5WiVJWkI1PKsV1T05zu5YdkDb\n86uArRsthCSpUf1aPFYD/rXt9VMoNxJs9wBlzMfHh1wuKFe0zq1mR/lSZn6514YRMQ84sIEySJKA\n2UsNOl58arPekKTFrzUyMvZVrIi4EHhHZv6++SI9kuc/Z+YtEbEacB7w7sy8pG76Vqs1MjLyi+YK\nKElLgFZrc0ZGRvpGFa1Wa+TWpzyp1v7W/MONY+5vqrLekDRdHNTqHAY3mIncPLFOvdFL3ft4PG88\nO5+IzLyl+nt7RJxBucFU7cBDkjQ8s2ZPy1hCkjSF1L6PR0QsTxnzsQFlbMdjZOaHhlWoiFgOmJWZ\n91TPXwAcPKz9S5IGM2upZufTlSQt+erex+MpwE+Ax1PuGHsHsFKV/q/AXcDQAg9gdeCMiBgt44mZ\n+YMh7l+SNIBZS9gYD0nS4le3xeNzwC+AXYC/AS8GfgO8Bvhk9XdoMvM64OnD3KckafyWtMHlkqTF\nr27gsSXwFuD+6vXSmfkQcGJErAIcDvxbA+WTJE0BLcd4SJImqG6n3WWBuzPzYeAvwD+3rfsdtk5I\n0hJt9lKtWg9Jknqp2+JxDbBu9fxXwNsj4mzgIWBP4JYGyiZJmiIcXC5Jmqi6gcfJwCbA14D9gXOA\nu4GHq33s0UThJElTg9PpSpImqu59PD7b9vzSiNgY2BF4HHBBZv6uofJJkqaApme1iogdKeMFZwPH\nZOYhXbb5d2AeMAL8JjMndgctSdJiVfs+Hu0y8ybg6NHXEfG4zPz70EolSZpSmgw8ImI2cCSwA7AA\nuCwizszMq9q2WR/YF9g6M/8aEas1ViBJUiPGFXiMqma0ejfwTmDVoZRIkjT1zGm0xWNL4NpqKnUi\n4mTKDWuvatvmP4AjM/OvAJl5e5MFkqSp7MCREye7COPSN/CIiGcDrwfWAa4DvpCZ/xcRa1DGeuxR\n7ePrDZdTkjSZlq4/uDwiRjoWHZSZ8/okWQu4qe31AuCZHdtsUO37J5TuWPO8sawkTS89A4+I2Bk4\nnXJn8mspU+a+LiL2AI6j3MX8GODQzLyx8ZJKkibPAIFHZg7aPNJt+87gZQ6wPrAtsDbwo4jYODPv\nHDAvSdIk6dfisS/wfWCXzPx7RLSAQ4HTgAR2Gm0WlyQt4ZrtarWA0rI+am0WnaZ9AXBpZj4IXB8R\nSQlELmuyYJKk4el3CSuAI0YHjWfmCCXwmA18zKBDkmaQpWbVe4zPZcD6EbFeRCwN7Aqc2bHNt4Hn\nwSPjCzegdAGWJE0T/Vo8VqDcpbzd6OuhdK2KiGOBlwK3Z+bG1bKVgG8Cc4H5wL+PDiaUJE2O1tLN\ntXhk5sKIeBflHlGzgWMz88qIOBj4RWaeWa17QURcRbl57Qcz88+NFUqSNHRjzWq1XkTc2/Z6dvX3\nyRHxj/YN26c9HMBxwBHACW3LPgKcn5mHRMRHqtcfHse+JUnDMsAYj/HIzLOBszuWHdD2fAR4f/WQ\nJE1DYwUevebq+haPDvxrVc9n99i2p8y8JCLmdizemTJ4EOB44CIMPCRpcjU7xkOSNAP0Czyet9hK\n8VirZ+atAJl5a52bREXEPODApgsmSTNWwy0ei5v1hiQtfj0Dj8y8eHEWZCKq+eHntS9rtVqdUzFK\nksarwTEek8F6Q5IWv6l4Ceu2iFgToPrr3WklabLNmVXvIUlSD1OxljgT2L16vjvwnUksiyQJSotH\nnYckST2MNbi8URFxEmUg+SoRsYDS3/YQ4FsRsSdl2t5dJq+EkiQAZk/F61SSpOlkUgOPzNytx6rt\nFmtBJEn9zbI1Q5I0MZMaeEiSpgmn05UkTVDtwCMilgHeDGwOrAPslZn/FxGvAa7IzKsbKqMkabLZ\n1UqSNEG1Ao+I2AA4D1gBuJwyLmP5avVzgJcAb2ygfJKkqcAWD0nSBNVt8fgCZaD3y4B7gQfa1l0M\nfGrI5ZIkTSGthsd4RMSOwOHAbOCYzDykx3avBk4BtsjMXzRaKEnSUNVtO38O8MnMvBPovMHSbcCa\nQy2VJGlqafA+HhExGzgSeBGwEbBbRGzUZbvlgfcAP5/AO5EkTZK6tcQ/gMf1WLcWcOdwiiNJmpJm\nt+o9xmdcu5JIAAAZ50lEQVRL4NrMvC4zHwBOBnbust1/AodS6iRJ0jRTN/A4D9gvIlZoWzZSDTh/\nN3D20EsmSZo6ZrXqPYCIGOl4zBtj72sBN7W9XlAte0REbAqsk5nfG+K7kiQtRnXHeHwQ+AlwLSUI\nGQEOAP4FWBp4ZSOlkyRNDQN0o8rMQZs+um3/SLfeiJgFfA7YY8D9SpKmkFo1SWbeBDwdOAqYC/yB\nMq7jFGCzzPxjUwWUJE0BzXa1WkCZpn3U2sAtba+XBzYGLoqI+cBWwJkRsfl4M5QkLX617+ORmX8F\n9q8ekqSZpNn7eFwGrB8R6wE3A7sCrx1dmZl3AauMvo6Ii4APOKuVJE0v3hFKkjS22XPqPcYhMxcC\n7wLOAa4GvpWZV0bEwRGx0xDfhSRpErVGRjpnxy0i4jIWnTq3p8zccpCMI2Id4ARgDeBh4MuZeXhE\nrAR8k9Klaz7w71Vry0BardbIyIgXwySpn1Zrc0ZGRvr2kWq1WiMPn7tLrf3NesEpY+5vqrLekKSx\n1ak3eul3eepKBgg8xmEhsE9m/rKam/3yiDiPMnjw/Mw8JCI+AnwE+HCD5ZAkjaXZrlaSpBmgZ+CR\nmXs0mXFm3grcWj2/JyKupkyfuDOwbbXZ8cBFGHhI0uQaZzcqSZJGDVyTRESLMsjvT5k5lBaRiJgL\nbEq5G+3qVVBCZt4aEavVSD8POHAYZZEkdTFnyQo8rDckafGrXZNExIuBjwGbVekWRsTlwCcy86zx\nFiAingCcBrw3M++OiIH3kZnzgHnty1qtVpPdxCRpZlnCAg/rDUla/Gp12o2ItwHfBe4F9gZ2qf7e\nS5lL/W3jyTwilqIEHd/IzNOrxbdFxJrV+jWB28ezb0nSEM2aXe8hSVIPdS9h7UeZdeodHcuPioij\ngI8CXxok46rL1leAqzPzs22rzgR2Bw6p/n5nkP1KkhqwhLV4SJIWv7o1ycrA6T3WnQa8fhx5bw28\nAfhtRPy6WrYfJeD4VkTsCdxIaV2RJE0mB5dLkiaobk1yIbANcF6XddsAlwyacWb+GOg1B/B2g+5P\nktQgp9OVJE1Q3cDjC8AxEbEy8G3KuIvVgFcALwLeEhEbjW6cmVcNu6CSpElki4ckaYLq1iTnVH/f\nVj1GeGxrxQ+qv61qnSMMJWlJYuAhSZqgujXJ8xothSRpams1ez0pInYEDqdcuDomMw/pWP9+4C3A\nQuAO4M2ZeUOjhZIkDVWtwCMzL266IJKkKWxWcy0eETEbOBLYAVgAXBYRZ3Z02/0VsHlm3hcR7wAO\nBV7TWKEkSUM3njuXzwGW7lyemfcNpUSSpKmnwcAD2BK4NjOvA4iIk4GdgUcCj8y8sG37SxnfbIqS\npElUqyaJiBWAT1IGk69K99moHNchSUuqVv1ZrSKi8w7gB1V3Cu9lLeCmttcLgGf22X5P4Pu1CyRJ\nDTio9doJpT9w5MQhlWRwEy37eNW9hHUcZdrco4FrgQeaKpAkaQoaoMUjM3tNld5Lt+07gxcAIuL1\nwOaUOkmSNI3UrUm2A96WmSc1WRhJ0tTUarar1QJgnbbXawO3dG4UEdsDHwW2ycz7myyQJGn46tYk\nNwKO4ZCkmarZwOMyYP2IWA+4GdgVeEw/gIjYFPgSsGNm3t5kYSRJzajbafdDwMci4klNFkaSNEW1\nZtd7jENmLgTeRbln1NXAtzLzyog4OCJ2qjY7DHgCcEpE/DoizhzG25IkLT51p9M9u2rivjYi5gN3\ndtlmy+EWTZI0ZTTb4kFmng2c3bHsgLbn2zdaAElS4+rOavVp4L2U5vChDC6PiGWBS4BlqnKcmpkH\nVk3tJwMrAb8E3pCZDmaXpMnUcOAhSVry1a1J3gJ8NDM/OcS87ween5n3RsRSwI8j4vvA+4HPZebJ\nEXEUZdrELw4xX0nSoBq+c7kkaclXN/C4D7h8mBln5ghwb/VyqeoxAjyfRwcVHg/Mw8BDkiaXLR6S\npAmqW5McDrw1Is6rAoahiIjZlIDmqcCRwB+AO6uBhlCmWFyrxn7mAQcOq1ySpA5LWOBhvSFJi1/d\nmmQVyl1kMyIuYtHB5SOZ+eFBM8/Mh4BNImJF4Axgwy6bjRnoVHfEnde+rNVqDS1AkqQZb4A7l08H\n1huStPjVDTxeDSykdIfaocv6EWDgwGNUZt5ZBTRbAStGxJyq1aPrTaQkSYvZrKUmuwSSpGmu7nS6\n6w0744hYFXiwCjoeB2wPfAq4kBLonAzsDnxn2HlLkgbUWrK6WkmSFr/JbDtfE7gwIq6gTNN7XmZ+\nj9Jy8v6IuBZYGfjKJJZRkgSN3kBQkjQz1L6EFREtYGtgA2DZzvWZ+T+DZJyZVwCbdll+HeDNCCVp\nKlnCBpdLkha/ujcQXB04H9iIMp6jVa1qH4g3UOAhSZpGDDwkSRNUtyb5DHAXsA5wE2WGq9uA1wNv\nBF7SSOkkSVNDw2M8ImJHytTts4FjMvOQjvXLACcAmwF/Bl6TmfMbLZQkaajqjvHYhhJ83Fq9bmXm\njZn5X8DXsbVDkpZss2bXe4xDdU+nI4EXUVrWd4uIjTo22xP4a2Y+FfgcZTISSdI0UjfwWBG4IzMf\nBu4GVmtb91Pg34ZdMEnSFNKaU+8xPlsC12bmdZn5AGVWw507ttkZOL56fiqwXTX2UJI0TdStJa6n\nzEIFcCXwOuB71euXAX8ZcrmGotXafLKLIElLghtas7dat86Gs2bNuisiOm/Ed1B1w75e1qJ04x21\ngNKlt+s2mbkwIu6izHz4pzrlqst6Q9LiMm8Gnm/qtnicBbygev5x4FURsSAirgfeA/x3E4WbiJGR\nkVa/xwYbbDDmNlM1/XQuu+/dz873PvXS1zifzq2b10MPPbRiZrY6HvPGyKJbGTqDlzrbTIjfQd/7\nVEs/ncs+2emnc9mnw3sf73m27g0E9217/v2I2Bp4BWVa3fMy8/vjLYAkacZbQJm8ZNTawC09tlkQ\nEXOAFZiire2SpO7G1SE3My+j3PRPkqSJugxYPyLWA24GdgVe27HNmcDuwM+AVwMXZOZQWzwkSc0a\nOPCIiMdTZhd5GvBH4ITMvGHYBZMkzQzVmI13AedQptM9NjOvjIiDgV9k5pnAV4CvRcS1lJaOXSev\nxJKk8egZeETEZ4CXZeYGbcuWp7oyBfyV0tS9T0RsmZnXNF3YITtoGqefzmWfaPrpXPbJTj+dyz7R\n9NO57FMhfeMy82zg7I5lB7Q9/wewy+IuVwe/g9Mv7+mefjqXfbLTT+eyTzT9ZJe9p9bISPeW6oj4\nJfDtzDy4bdlBwP7AWzLz2IhYFTgP+G1mvqGpQkqSJEma3vrNajUXuLxj2auAqzLzWIDMvINyY8Gt\nGymdJEmSpCVCv8BjDvCP0RcRsRKwIXBBx3bzgTWGXjJJkiRJS4x+gcc1wLZtr19a/T2nY7vVcEpD\nSZIkSX30m9XqCODoiFgBuI1yo8DrgXM7tnsB8LtmiidJkiRpSdCzxSMzjwMOAF4J7Ask8IrMfHB0\nm2pw+c7Ad5otpiRJkqTprOesVkuqiNgROJwyV/wxmXnIgOnnA/cADwELM3PzMbY/ltJN7fbM3Lha\nthLwTcoA/vnAv2fmXwdIPw/4D+COarP9qqkou6VfBziBMg7nYeDLmXl4nTL0SVsr/4hYFrgEWIbS\nunZqZh5Y3STsZGAl4JfAGzLzgQHSHwdsA9xVbbpHZv66x/ufDfwCuDkzX1o37z7pB8l7Ph3flQGP\nfbf086h/7FcEjgE2BkaAN1MuIIyZf4+0L6yTd0RElceoJ1MuYpxQM+9e6Vcc4L2/D3hLVfbfAm8C\n1qTmse+R/ihqHPuI2LsqZws4OjM/P+Bx75Z+Xq/3Psg5JiJalPPfi4H7qvfwy27l0KNmUr0xkTpj\njPR18x93vTGMOqPaz4ysNyZSZ/RJPy3qjcmsM6r0M6be6DfGY4lTnQyOBF4EbATsFhEbjWNXz8vM\nTcaqPCrHATt2LPsIcH5mrg+cX70eJD3A56oybNLrx1dlIbBPZm4IbAXsVb3nOmXolbZu/vcDz8/M\npwObADtGxFbAp6r0o/eD2XPA9AAfbMu/ZwUC7A1c3fa6bt690g+SNyz6XRnk2HdLD/WP/eHADzLz\nacDTq/dRN/9uaWvlncUmmbkJsBnlRHVG3bz7pK+Vf0SsRekaunl1Qp1NudlcrWPfJz2McewjYmPK\niX7L6nN7aUSsX/e990nf770fR/1zzIso92FaH3gr8MVu5dCjZmC9MZE6o1/6uvlPpN4YRp0BM7fe\nmEid0St9rbwns96YzDqjSj+j6o0ZFXhQDsq1mXldlqj1ZEpXscZk5iUsOvh+Z+D46vnxwMsHTD9I\n/rdmFZlm5j2UE8FadcrQJ23dvEcy897q5VLVYwR4PnBqv7zHSF9LRKwNvIRyBYYqaq+Vd7f0Q1L7\n2E9ERPwT8FzK3Z7JzAcy8846+fdJOx7bAX/IzBvq5D1G+kHMAR4XEXOAxwO3MsCx75L+lpr5bghc\nmpn3ZeZC4GLgFdR/773S9zTgOWZn4ITqf+tSYMWIWLPme5upZlS9MZE6Y4z0dfMfd70x0ToDZm69\nMZE6Y4z04zEZ9cZk1Rkww+qNmRZ4rAXc1PZ6AQOcECsjwLkRcXlEvHWc5Vg9M2+FcpKmzAw2qHdF\nxBURcWxEPLFOgoiYC2wK/HzQMnSkrZ1/RMyOiF8Dt1NuNvkH4M7qnwPGOAad6TNzNP9PVPl/LiKW\n6ZH888CHKM39ACsPkneX9KPq5A3dvyuDfO69vmt1PvsnU5pXvxoRv4qIYyJiuZr590pbN+92uwIn\njeO9d0tfK//MvBn4NHAjpfK4i3JPolrHvlv6zBydVGOsY/874LkRsXJEPJ7SNL3OAO+9V/pa771N\nr/yGcQ6caWZsvTGROqNL+tr5T6TemGCdATO33phIndEvfZ28Oy3WemOS6wyYYfXGTAs8Wl2WDTrI\nZevMfAal6WmviHjuxIs1sC8CT6E0Jd9KuYljXxHxBOA04L2ZefcgmXVJWzv/zHyoavpcm3LlcMMu\nm/U8Bp3pqybFfYGnAVtQ+l5+uEuZR/sutt8Es/bx75GeOnm3meh3pVv6up/9HOAZwBczc1Pgb4zd\nPD9W2oG+dxGxNLATcErNfMdKXyv/6uS6M7Ae8M/AcpTPsFOvY79I+oh4PTWOfWZeTWmePw/4AfAb\nSteTWvqkH/h/vodhnANnmhlZb0ykzuiRfrHUG+OtM6oyz+R6YyJ1Rr/0U77emMw6A2ZevTHTAo8F\nPBoFQjkxDdIcRmbeUv29ndJ/cMtxlOO20Waq6u/tA5bhturk+jBw9FhliIilKBXANzLz9EHK0C3t\noPlXae4ELqL0+V0xSnMk1DwGbel3rJryRzLzfuCrPfLfGtgpykC7kylNpp8fIO9F0kfE12vmPVrm\nbt+V2se+W/oBPvsFwIK2q32nUiqFOvl3TTuO4/4i4JeZeVv1etDv/WPSD5D/9sD1mXlHlln4Tgf+\njfrHvmv6usc+M7+Smc/IzOdSmrL/b5D33i39OD77XvlN+Bw4A824emMidUav9Iu73hhHnQEzu96Y\nSJ3RM/00qTcmtc6oyjlj6o2ZFnhcBqwfEetVUfGuwJl1E0fEchGx/Ohzxn8PkzOB3avnuzPgdMTx\n2L51r+hXhij9U78CXJ2Znx2kDL3S1s0/IlaNMssFEfE4yj/n1cCFwKv75d0n/e/b/jFalD6Ii+Sf\nmftm5tqZOZdynC/IzNfVzbtH+tfXybta3+u7UuvY90pf97PPzD8CN0VEVIu2A66qk3+vtIN87yq7\n8djm7kG/949JP0D+NwJbRcTjq+M0+t5rHfse6a8e4NivVv19EmU68pMY4L13Sz+Oz75XfmcCb4yI\nVpRBt3dl1bSunmZUvTGROqNf+sVRb0ykzoCZXW9MpM7ol36a1BuTWmdU28yYeqPfDQSXOJm5MCLe\nRbn7+mzg2My8coBdrA6cUf1fzQFOzMwf9EsQESdR7gC/SkQsAA4EDgG+FRF7Ur6wuwyYftuI2ITS\n1DUfeFufImwNvAH4bZR+rwD71SxDr7S71cx/TeD4KLPCzAK+lZnfi4irgJMj4uPAr6gGow2Q/oIo\n95BpAb8G3t7n/Xf6cM28e/lGzby7flci4jLqHfte6b82wLF/d1XepYHrKNP7zaqZf7e0X6ibd5R+\npjt0bDPI975b+kPr5J+ZP4+IUynTHy6kHOcvA2dR49j3Sf/9msf+tIhYGXgQ2CvLdIS133uP9D2P\n+4DnmLMp/X+vpcz68qY+5RAzst6YSJ3RL/3iqDeaqDNg5tQbE6kzeqWf8vXGFKgzYAbVGzPuPh6S\nJEmSFr+Z1tVKkiRJ0iQw8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIk\nSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMP\nSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLU\nOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAk\nSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z\n8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIk\nSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMP\nSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLU\nOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAk\nSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z\n8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIk\nSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMP\nSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLUOAMPSZIkSY0z8JAkSZLU\nOAMPSZqBImJeRIxExDld1p0aERcNuL+51f5eOrRC9s9vs4j4a0T80xD2dWREfGUY5ZIk9WbgIUkz\n2wsiYosh7OdW4FnAj4ewrzo+DhyVmXcPYV+HAa+LiKcOYV+SpB4MPCRp5voLcAXw0YnuKDPvz8xL\nM/POiRerv4hYH9gROHYY+8vM+ZSA6R3D2J8kqbs5k10ASdKkGQH+CzgpIv41M3/ba8OI2AT4DKVV\n437gbOD9mXlbtX4ucD3wssz8XrVsJ+BA4GnAA8A1wIcy8+Jq/SzgQ8BbgHWAG4BPZObxY5R7d+CK\nzPy/tvJtC1wIbA+8p/p7C7AXcD5wCPCmquyfyczPduzzNODAiPhgZj48Rv6SpHGwxUOSZrZTKAFB\nz1aPiFgVuAh4PPBa4N3ANsB5EbF0jzRPAU4FLgBeBrwO+B6wUttm/w18DPgy8BLgDODYGuNEtgN+\n2mPdlyitF6+gBDKnAkcAy1dlPxX4TERs1ZHup8DqwL+OkbckaZxs8ZCkGSwzH46IQ4CvRMQBmXlN\nl832qf6+cHRMRURcA/wceBVwUpc0mwL3ZOYH25adPfqkGk/xDuBNbS0cP4yINSmtJN/rVt6IaFX7\n/nqPt/S1zDys2nYBcCUQmfn8atkPgddQApNL29JdCTwEbAn8pse+JUkTYIuHJOnrwI3Avj3Wbwmc\n2z6QOzP/F5gPPLtHmt8CK0TE8RHxgohYrmP9dsDDwBkRMWf0QekWtUlEzO6x3ycCywB/6rH+/Lbn\n11Z/L2gr98PAdcBa7YkycyFwJ7BGj/1KkibIwEOSZrjqR/ehwOsjYt0um6wJ3NZl+W08tutU+z4T\n2Bl4MqWl408RcWLVbQtgFWA2cBfwYNvjOEpr/Jo9irts9ff+HusfGdyemQ90Lqs80Lafdvf3WC5J\nGgK7WkmSoMwQ9THgw13W3Qqs1mX56sDlvXaYmWcBZ0XECpQxHJ+njOvYlTKj1kJga0rLR6fbe+z2\nz9XfFXvlOwErVuWSJDXAwEOSRGbeHxGfBj5JCSYebFv9c+AdEbF8Zt4DUN37Yy417tuRmXcBJ0bE\nNpRZsaB0f5oNrJCZ5w1YzhuB9eqmqaNqiXk8ZaC9JKkBBh6SpFFfAvYD/g24uG35ZykDwc+JiE8B\nT6BMT/tbyjS0i4iIt1GCjB9QprVdH9gFOAFKV6yIOAo4OSIOBX5B6eb0L8AGmfmWPuX8CbDZON9j\nL5tTphfuNVuWJGmCHOMhSQIgM+8DPtdl+R3A84B/UGawOhL4EbBD2ziKTlcAq1KClnMp3biO5rFd\nufYC/hN4I2UcyHGULlmXjFHU04FtIuJxdd5XTTsCF2fmn8fcUpI0Lq2RkZHJLoMkSbVV9w5ZAOyV\nmacMYX+zKff8+Ehm9pqmV5I0QbZ4SJKmlaqV5TBg7yHtchfg78DJQ9qfJKkLAw9J0nR0BOXO6SsM\nYV8tYM9qWmFJUkPsaiVJkiSpcbZ4SJIkSWqcgYckSZKkxhl4SJIkSWqcgYckSZKkxhl4SJIkSWqc\ngYckSZKkxhl4SJIkSWqcgYckSZKkxhl4SJIkSWrc/wfPyBnKSOXBswAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1a70637350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "val.plot_pattern_failure(matchDf, sampleRates, noiseLevels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## 3. Visualize the Scores"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "The graphs below represent the median scores for 6 error metrics applied to each of our 21,000 routes, broken down by sample rate and noise level. Plots in the left column are based solely on error rate, i.e the percentage of Type I, Type II, or Type I/II mismatches. The right-hand column shows the same metrics as the left, but weighted by segment length. The top right plot thus represents the metric used by Newton and Krumm, and the two plots below it represent the same value broken out by error type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false,
    "deletable": true,
    "editable": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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sjYaBLzKV/W47eb5YsgZmETY07YTnaXa6+eTTfaiRKaiRKad6a31eR0ZXKaVy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\nunx+cPtkxoxOC/i1zbqDmEW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hnPbQXYTF2Ns9rtHtJbemCcMAlRhNRKueV6fLy5pte8mq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CyZZvtB\nHx2+CP2RJK7iHFRV0NsZJMdsYEalncrCHCoKbBQ5LKdcp+PxNJu3dvDmWy30+yIATHcXsfKyWmZM\nL5LrvHTBGklQO9x3hxjhGC9Q7fF4fG63exHwrNvtnuXxeIInupnb7X4E+NoI5iVJJ9W/aRf7/uvX\naKkUdZ+6g4rrV2Z7SsMSQkN0vpmpmFh6MYrZOey4ZFrljWYfqiaY7LAypeTd4lZPP9tIb1+ElZdN\n4qYbZ8giEJJ0/pNrs3TB6XltE/6d+8hfNIuSK5dlezqIuB8R2A8mB+TPOv64EDy/pZ3W3jA6vUJ1\nrROr2UiVzcTkWaU4bCPPGhscjLPujcNs2txOLJ7CaNBz8bJqVl5WS1npxCl2KUnZMpKgtgOoOurv\nlUDXCcZ0uN1uA5AH+D0ejwASAB6PZ7vb7T4ETAO2nehmHo/nEd5NlwJAUZRjF2pJOqmO59dy6Ff/\nh85sYva/fpqCi+Zme0rDEkJknvLGelFya8F54iborx3oI5HWyNEpXFL3bkP3HTu72LSlncpyBze8\n3y0DWkm6MMi1WbqgJPwDHPzlk+gtJqZ95q6sv5EUQiB6NgOglCxB0R2f7ru/Y5DW3jA1xXamTysg\npgpqHRZKh7KsRsLvj7J2XTObNreTVjUcuWauuHwal1xcTa595NeRpPPdSILarUCd2+2eBHQCHwbu\nPGbM88A9wEbgFuA1j8cj3G53EZkFVHW73ZOBOqB51GYvSccQmsahX/0fHS+sw+RyMOdrnyV3SnW2\npzUskQwiujdCxAvGHCi75ISL9PY2P754Cp2Aa2eWHhnn80X581P1mE0G7pH9ZCXpQiLXZumCIYSg\n6dE/ko7EqPvUHViKRlbxf0wFD0O0B8VehWKvPO5wPKny2h4vep3CHHchwbRGgcVIyQjfzvb2hjQl\niZoAACAASURBVHl17SG27+hC1TQKC2ysunIKFy2ukGu9JA3jlEHt0D6czwIvk2kb8BuPx7PX7XZ/\nA9jm8XieB34N/M7tdh8E/GQWV4AVwDfcbncaUIEHPR6Pfyw+EUlSE0n2/dev6N+8h5zqMuY88tDE\nWPiOIYQKvgZE/x4QKuRUZNKO9cMvdJ2BKPv7M/tmVk4pOFL5MJ3WeOL3O4nH09z54XkUF2e3pYEk\nSeNHrs3ShaRvw3b6N+3GObuO8utWZHs6CC2F6N0Kig5Klgw7Zv2+HiKJNEtnFhNMa1gNOibnWU/5\nhrmzK8iraw6ya083QghKS+ysXjWVBfPL0J+gaJQkSaAc295jIlIURZwL85SyJzkQpP4bPyHU1Ipr\nnptZX/kkhhxbtqd1HBHtybydTQyAwYJSshRya0+4yMWSaZ6t96IpMLPQzoJq15FjL77k4dW1B1m0\noJy775qf9VQsSTqXKIqCEEJ+05wFuTZL4yEVDLP104+gxhIs+tFXsZWXZHtKiN7tCF89SuE8lKIF\nxx3vDsT43bqD5DvMzJlVAgrMLrBjO0lF4pbWAK+8epC9+3oBqKzI4+qrpjB3Tqlc36ULxtmszbKX\nh3TOi7R7qX/kR8R7/ZSuWsa0z34EnWFifWkLNQG92xEDBwBQnG4oXnTCt7OQSbf6e2M3mgIFVuN7\nAtoDTf2see0QBfk2br1ltlzwJEmSpPPSwV/8meRgmCn3f2hiBLSJQYR/b2bbUMGc445rQvDqrk5Q\nwD2tEA2YmmcdNqAVQtB00Mcraw7SdNAHwKRaF1dfNVVWMpak0zSxfvOXpNM00HCAhm89SjoSo/au\nG6i5/foJtQgIISB4GNG7BdJx/v/27js+rqvM//jnzoy6rG7JlmRZrsc1dpzECYQQJ06FkFASIB2W\nDgth2V1+LCwLLLDLwi6dpSwlPQFC6CE9IY04Tuy4+7pbvVhdGk0/vz/uxFFsyZZs2TOSv+/XSy9J\nM3eOnnt1pWeee849h6wib6hx7tET8zM72gkmLFl+H6vnlR98vL8/wp13b8DnONx0w3JysjNO5C6I\niIikRMfajbT+dS0F82upvmp1qsNJTg71AtgETvlZwy6/t2FvJ81dgyyYW0ogw8+03EzKcjIPa2fr\ntjYefnQ3+/Z3AWDmlXHJxXOZM7skrd7HiEwUKmplwmp9cg3ud24HYOGn3kPFBamf3n8oG+nDtjwP\nA43e+rNTV0DpYhzn6BM87G7tY19fiIyAjwvmlpER8O6jsdZy970b6OkN8ZY3LaB2ZvFRWhIREZl4\nYgNBdvzgbnwBP+aWm3B8aXA/aX+9l9PzpsOUmYc9PRCK8tSWFgqLsiktySE/w09NQfbB5621bNjY\nwiOP7qKhyVtBa+niCi6+aC4za4Zfzk9ERkdFrUw41lrqfvUX9t75BwJ5OSz+7IcoPm1BqsM6yJsI\nagv2wIbkRFCVONPOwcksGNXrewbCPLuvk0Cmn9OmF1A6ZOr/p57Zz5ZtbZh5Zay+cPaJ2gUREZGU\n2v2L+wl3dFN7/VvIq6lMdTjYRMzrpXUcnIqzh+1NfXJzCwnHobamiOwMP/OKc/E5DrFYgnUvN/Ho\nY7tpbevHcRxWLK/k4tVzqKwc3XsDETkyFbUyoSRiMXb+7900P/Ic2eUlLP3ix8mbMT3VYR1kB9ux\nzc9BuAv82TgV50LBrFEPJYrFEzywqQV/po/KgmwWlr+6oHpjUy9/+OM28vMyuf7aZRqeJCIik1LX\nhu00P/QM+bVV1Fx9aarD8XRugWg/TskinKzDe1Xr2/vZ1tBDTW0RhXmZzC3KJcvvY8/eTu68ewMd\nnUH8Ph9nn1XNRRfO0YoFIuNMRa1MGLGBIFu+9hO6Xt7OlLk1LP23j5FZXJjqsACw8Qi0v4TtcgFw\niuYnJ4Ia28Loj2xqJpHpY0p2gHNriw8WruFwjNvuWE8snuD6a5dRWJh9lJZEREQmnngozI7v3YHj\nwPxP3JgWEz/aaL+3DF8gG8qWH/Z8PJHg4ZebKJmaR3lJLjOmZFGYFWBgIMKtt6+nvz/CeefO5MJV\nsykpSb+VGUQmg9T/pxAZhdCBTjZ/6Qf072ukdOVSFv3z+/Fnj61gPBGstdC3H9u6BmKDkFmIM/31\no5oI6lAv7+2gPRojJzuD82aVkuF/9d7b3/5+K61t/ax64ywWLSw/QisiIiIT1947fs9gawc1V19K\nwbzaVIfjaV0LNo4zdfg15dfuPEDE71Bdmsv0/Cwq87Kw1nLPrzYenAPjotVzUhC4yKlDRa2kvYH6\nZjb+67cJd/ZQdcUq5n7gnWkxYYSN9EPr89j+BnB83lp1pUtGNRHUoZo7B1jX1EtOXgbLphdQPGSm\nxHXrm/jbmnqqKwu44s1mPHdBREQkbfRs203jHx8nt6qcmde+OdXhAGAHmrB9+yFnKhQeXpj2DER4\naV8npRX5TC/KZk5RLo7j8NzzdWza3MrcOaVceIHmwBA50VTUSlobbD1wsKCd876rqb5qdVrcS2p7\n92KbnklOBDXdW6ZnlBNBHWowEuPBzS1k5WcysySXeaV5B5/r6Ajyy/s2kZUZ4OYbTycjMPaCWURE\nJN3FIxHc73orGphP3IQ/c+R13E8Wa+PYljUA3oSPw7z/eHRjEwWluZQVZLOwNJ+Az6GtrZ/f/m4r\nOdkZ3HDdMny+1L9vEZnsVNRK2gp3dLHxc986WNDOeOtFqQ4JANu13VuqxxfAmX4eFMw+5kI7nkjw\nx5cayMjLpDQ/izOrig62FYsluP3O9YRCMa579zJNKiEiIpNW3S8fINjQStUVqyhcNDfV4Xi6tkOk\nB6doPk526WFP72jsodeBwuwMllZMIS/D7+Xuu14mEo3znncvo7goJwWBi5x6VNRKWor29rPx899h\nsLWD2mvfnBYFrbUWOjZi29d7MxvXXDxskhuthLX8eV0jg36HgpwAK2cUkel/dVj1gw/vZF9dNyuW\nV7LyzKrx2AUREZG007e7jrr7HiK7vITZN78t1eEAYGOD2PaXwZ8JU1cc9nwkFuf5/Z1k5gSYW5ZH\nRXL5vb88tIP6hh5WnlnN6cvTZ3UGkclORa2kndhAkI1f+C4D9S1UX7WamddekeqQvIK2bS22cytk\n5OHMuAQn69hnXrbW8tCmZnodyM/NYEVVESVD7qPdsfMAjz6+m9KSXN559ZK0GHItIiIy3nq27mL7\nN3+BTVjMx29Mn0kg29ZCIuoNOw4cvuLAUzva8WcHKMnNZEmFt/zezl0dPPbEHspKc3nH2xaf7LBF\nTmkqaiWtxMMRNv37D+jbVcf0S85lzvuuTnlBZ20cmp/F9uzxZjeuuQQnI+/oLxxB3Foe295GZyxO\nVoaPc2eWMG3Kqwmzvz/CnXdvwOc43HTDcnJyMsZjN0RERNJGPBRm7+2/o/FPTwBQe90VFC9fmOKo\nkjm/ZY2X87NLoGj+Yds0dAVpDUXx+xzeMLMUn+MQDEa58+4NOMCN1y8nO1tvsUVOJv3FSdpIRKNs\n+eoP6dm6m/LzzmD+x65PfUGbiEHjk94MxzllODMuHvPas0MNxuI8s7eT9sEIPgur55RRkvdqe9Za\n7vnlq0sA1M4sHo/dEBERSRtdG7ez47t3MNjaQW51BeaWmyhckPolb2w8gm18EgaaILsEp/oiHOe1\nqy1E4wnW1HcBsKgsnynZAay1/Oq+TXT3DPKmy+Yrd4ukgIpaSQuJeJxt//1zOtdvo/SsJSz41HtT\nvmyPjUew9Y/CYBvkVeJUX4DjO/Ze0/bBCC839dDWFyIWinHlaZUU5722QH762f1s3tqKmVfG6gu1\nBICIiEwescEQe37xG5r+8jSOAzVXX8rMa9+cHjMdRwe8nB/uwsmvgqpVh+V8ay3P13URiiXIdRxO\nqy4C4IUXG1m/oZnZs0q4eHWaTHIlcopRUSspZ61lx/fuoP259RQtnc+iz3wQXyC1p6aNBbF1j3jJ\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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f1a29107d10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "val.plot_distance_metrics(matchDf, sampleRates)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "## 4. Results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "There is a lot of valuable information to be gleaned from our validation process. The main takeaways are summarized below:\n",
    "1. Below 50 m of noise, we obtain a median match accuracy of **90%** or better.\n",
    "2. Clearly the positional accuracy of GPS data (vis-a-vis noise level) has a huge impact on rate of mismatch. However, there is little to no impact on error rates at noise levels below 20 m. \n",
    "3. Sample rate also has a significant effect on performance. What that effect is, however, depends significantly on the positional accuracy of the data. Higher frequency sample rates clearly perform better at lower levels of noise, but there exists a very consistent point of inflection (~80-90 m) about which the performance of low sample rate GPS traces (red) improves relative to that of the higher sample rates (blue). These results, consistent with the findings of Newton and Krumm (2009), suggest that lower sample rates tend to be more robust against mismatch error at higher levels of noise.\n",
    "4. There does not appear to be a significant difference in the trends between the distance-based error metrics and those that do not consider segment length.\n",
    "5. Similarly, the Type I, Type II, and Type I/II error rates very closely track one another, although the pattern of inflection described in (3) appears more pronounced in the Type II-based metrics."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "Ultimately, our validation allows us to state with a greater measure of confidence that our map-matching is working as intended, at least in San Francisco:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "<img src=\"last_image.png\" alt=\"Drawing\" style=\"width: 100%;\"/>\n",
    "\n",
    "<center><i>A perfect match on a route with 80 m of noise (5 s sample rate)</i></center>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": true,
    "editable": true
   },
   "source": [
    "In the next installment of this series, we will see how we can actually _use_ these error metrics to optimize the performance of our map-matching algorithm based on the quality of the data made available to us."
   ]
  }
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