diff --git a/.gitignore b/.gitignore index 574ba10..e4f7942 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,4 @@ .direnv/ __pycache__/ +.idea/ +.ipynb_checkpoints/ diff --git a/Scatter_Plot_Testing.ipynb b/Scatter_Plot_Testing.ipynb new file mode 100644 index 0000000..4753fac --- /dev/null +++ b/Scatter_Plot_Testing.ipynb @@ -0,0 +1,105 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "test_x = np.random.randint(1, 1000, (1800))\n", + "test_y = np.random.randint(1, 1000, (1800))\n", + "test_c = ['g','r','b']" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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Bvq9OU0c5+mM6fSyq1B4b+Eqg74F8Ynjt6BbiqknLFp2loD+NK7DM7p+pvY36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\nIspnPRyzC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RN1/tzzW7nJd6vcnYta7E+s8Y8G1+tJ3FzTyupiGPYVX9gb8Ku0PFX0C35X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\nNMsubzL0QeLuiTDuhBaf2J3+3hSn8LiO4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vC2zgqbs/whhF3xBslMsS16Qwgv6KyzOcvf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\nYmONAAAAAElFTkSuQmCC\n", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(test_x, test_y, c=test_c, marker=\".\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[]\n" + ] + } + ], + "source": [ + "test = np.empty([0, 3])\n", + "test = np.vstack((test, [2, 3, 4]))\n", + "print(test)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.4.3" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/Traffic Simulation.ipynb b/Traffic Simulation.ipynb new file mode 100644 index 0000000..70d7e53 --- /dev/null +++ b/Traffic Simulation.ipynb @@ -0,0 +1,362 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "import random\n", + "import statistics as st\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from simulation import Simulation\n", + "from driver import Driver, Normal_Driver, Aggressive_Driver, Commercial_Driver\n", + "from car import Car\n", + "from road import Road\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def normal_sim(speed_limit=200, run_time=60):\n", + " road = Road(1)\n", + " drivers = [Driver()]\n", + " car_types = [[1, Car, 5, \"basic\"]]\n", + " sim = Simulation(road, drivers, car_types, speed_limit)\n", + " return sim.run(run_time)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "speeds, locations, times = normal_sim(run_time=60)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "location_list = [y for y in locations]\n", + "time_list = [time for time in times]\n", + "avg_speed = speeds.mean()\n", + "stdev_speed = speeds.std()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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S3rcSMiVk2JWWpyozU1Vurl0dMu7qlLdT1lt4hv0+wx7ureM16pj5Uu/x924J\nGV5Ly5SWZys117U67CspY1KWfVLzpebaSs+3tTJnl2v0lqvyv4/P4AMAAACAxnwGHwAAAAA8KQd8\nAAAAANCYAz4AAAAAaMwBHwAAAAA05oAPAAAAABpzwPfK2IyXZWuPWrP2WLfn11Ze/08zrOrhkKCO\nqjJ62ieyu33C+jxFaufXaDMvhzScpUfrPrtPMae3tHDm02YpZjYCfg7p5sECOt8nbQ52xc1EWIfJ\n3b0W1+WukF7T+4zu8JgjHY8554OSnOfQo3/vuu5mzPnh8etWVY1Rc856/NpjzFpwrfdZef0/zbCq\nh0OCOqrK6GmfyO72CevzFKmdX6PNvBzScJYerfvsPsWc3tLCmU+bpZjZCPg5pJsHC+h8n7Q52BU3\nE2EdJnf3WlyXu0J6Te8zusNjxpijqt46K/MOPgAAAABozAEfAAAAADTmgO/zNu9w7ZV7fi0hS0KG\n19IypeXZSs31WpecuzpmPuYZ9vQMe7i37teoe/5be4+/T3tLSp6EHAkZdqXlubXU/aXmqsrLJs/l\nkrOmZEvJ8Zb0fIcczO4z+AAAAAAg3KGzMu/gAwAAAIDGHPABAAAAQGMO+AAAAACgMQd8AAAAANCY\nAz4AAAAAaKz1Ad/YjJeHrjfqceuNx+7tLY++xoc89PqfKqCnpI6qQnvaCujrVGm9XiN6Jg5pNC+r\nPNOcbrWd11toNPOpsxc5Pwt7TegpspNzNbo3dyX0vxU/BwEdJ/W1T3yHW+/8Z+4+bbrbCrgfLzXm\nnKsz7HXo0b+ffs1mzPnh8NfcNlPNOesx640x68j+HxLjwdf4kIde/1MF9JTUUVVoT1sBfZ0qrddr\nRM/EIY3mZZVnmtOttvN6C41mPnX2IudnYa8JPUV2cq5G9+auhP634ucgoOOkvvaJ73Drnf/M3adN\nd1sB9+Mhh87KWr+DDwAAAADeOwd8AAAAANBY9wO+zROv9+i9vSUlR1VWlq2ETAkZdqXl2ZWc7bVO\nWY/pupeuuR/pGa/RM+7pVJ32npo1MdfKTAnXIyHDtbruISl3UpZ9EvIlZDgkPd/We/+Zu09qrrd0\ny/up1p/BBwAAAADvgc/gAwAAAIAn5YAPAAAAABq7+wHfGONbxxg/Ocb40Y+//sIY42tjjJ8eY/zY\nGOM77p0BAAAAAJ7VI97B97ur6s9U1fbD/r6/qr425/yuqvrxj78GAAAAAC5w1wO+McbfUVW/rar+\n/arafghQIETDAAAgAElEQVTgd1fVVz/+/Ver6rffMwMAAAAAPLN7v4Pv36yqf72q/ubOP/vinPMb\nH//+G1X1xXssPEa93ON1Xy1y/zX2LbtZs+5rD7nG51jUx1sSeorrqCqup30SurtGZO+HNJiJFbrP\n4bnaze25Gs35M81e9FwFzMTKrqO72RXQ06k63buR/Qd1ndplZG+7AjpM6i6+r62A3m5t1RyMOefx\nr7rkhcf4p6rqn5hz/otjjK9U1e+Zc/7TY4y/POf8zp2v+7k55xf2fP+bj/49bf2ac9bF33/iIrOu\nyHjxspsx54fHr/u5HI+4xudY1MdbEnqK66gqrqd9Erq7RmTvhzSYiRW6z+G52s3tuRrN+TPNXvRc\nBczEyq6ju9kV0NOpOt27kf0HdZ3aZWRvuwI6TOouvq+tgN5u7Z5zcOis7NvuseBH/1BVffcY47dV\n1S+qql86xvhDVfWNMcaX5pw/M8b4clX97FsvMD57kvvJnPOTO+YFAAAAgAgf3zD3lVO+9m4HfHPO\n31tVv/djoN9UVf/anPOfH2P8/qr63qr6wY9//eEDr/Fyr3wAAAAAkOrjG90+2f56jPHhra99xFN0\nt7Z/Fvj3VdVvHWP8dFX9ox9/DQAAAABc4J5/RPdTc86fqKqf+Pj3P1dVv+UBy26eZI2kdV9LybEl\nz+clZHgtMdNrHTIe0i1/t7yP8t6uy7Pvt9P+OmU9JnkvCdlWZkjY/ym65KyS9VpJmZKy7ErNtZWQ\nLyHDVlKWQ7rkPMeSPd3tIRvXuvYhGwAAAADwLA6dlT3yj+gCAAAAADfmgA8AAAAAGnPABwAAAACN\nOeADAAAAgMbexwHfGC8PX3Lz+DWrqsaoJesetOD6fy7Coj7eEtNTQDdvSevsFDG9HhPc+6N0nK9H\naDPDhzSY72eZv6eYl62wuUmYkah+w/p5LaGvY6L6PEVA53q90KLuUvuK7GhXwL12C6n973PPmXgf\nT9EdY9aDn8g7NmPOD49/CvAYNeesrKcPL7j+n4uwqI+3xPQU0M1b0jo7RUyvxwT3/igd5+sR2szw\nIQ3m+1nm7ynmZStsbhJmJKrfsH5eS+jrmKg+TxHQuV4vtKi71L4iO9oVcK/dQmr/+1w7E56iCwAA\nAABPygEfAAAAADTmgA8AAAAAGnsvB3ybd7LmynUPSciUkGFXSp6UHPskZ3tLl8xdct6Ta7DfM1yX\nDnvokPEUz7KPqry9JORJyLCVlGWf9HxVPTLuSsibkOGYxIz+O/izUnNtpec7Vad93C3r+3jIBgAA\nAAA05iEbAAAAAPCkHPABAAAAQGMO+AAAAACgMQd8AAAAANDYuz/gG5vx8vA1Rz18zYPG46/Bp0sv\nuP6fy5DWR9XSTvZJ6OlUkX1uhfV6L53mJVn0LO8Knevuc9im/1OFzskp0mZp+WyEdpnW09byvk4V\n2utWar9V4R0/uNe0nqK72RV+/22l9XuNmNm4cffv/im6YzPm/PDYp/WOUXPOynlC8BizFj2xeMX1\n/1yGtD6qlnayT0JPp4rscyus13vpNC/Jomd5V+hcd5/DNv2fKnROTpE2S8tnI7TLtJ62lvd1qtBe\nt1L7rQrv+MG9pvUU3c2u8PtvK63fa8TMxgXde4ouAAAAADwpB3wAAAAA0JgDPgAAAABozAFf1ead\nrHnIyjwJ1yIhw2tpmdLyHJKcNTnbLb2Xfd5bl+uYmjM116m653+t837Ssq/Os3r9t8h1nfScyflk\nW7feMWl53iLn46Xs5aY53v1DNgAAAAAgnYdsAAAAAMCTcsAHAAAAAI054AMAAACAxhzwAQAAAEBj\nDvgAAAAAoDEHfAeMUS+rM3zOGC8PXW7z2PU+s3bS9X/wdT/Vyn5OEdXhVmiX50rv/llEzvBW2Cx3\nnMnofs8RNgvn6Dg3u5bNUHjnab1G3+uhXaZ1eKrIrhd1nNJhZCdbofffVkqHl4ruflfoHFzS/5hz\n3iHK9Q49+vdxGWrOWUszfM4Ysx54XcZmzPlhTQ9R1//B1/1UK/s5RVSHW6Fdniu9+2cROcNbYbPc\ncSaj+z1H2Cyco+Pc7Fo2Q+Gdp/Uafa+HdpnW4akiu17UcUqHkZ1shd5/WykdXiq6+12hc/BW/4fO\nyryDDwAAAAAac8AHAAAAAI054DtsszrAHo/OtPIaJF3/pCy7UnNtJeZLzHSJZ9lHuuTrnJYtLc8p\nOmbep/M+OmevWpc//bql5UvLsys1W2quYxJzv/efEyk59knOVpWf75gu+VNznp3LZ/ABAAAAQDif\nwQcAAAAAT8oBHwAAAAA05oAPAAAAABpzwAcAAAAAjTngAwAAAIDGHPDd2hgvy5bePHbtMeqh6+0J\nsHb9Vx59/a+xvLutsA4P6dTvM4iZ0WMCZrjTbLbpdZ+Ari/RaT5u6aGzFjobqd1H/hwI6zC1u2vE\n9P7grtO6jOlhV9j9t5XW3Ski+90V2vUh3eZgzDlXZ9jr0KN/o40xa1HusRlzfnjc2mPUnLPWdbTw\nWu/z6Ot/jeXd/XyQqA4P6dTvM4iZ0WMCZrjTbLbpdZ+Ari/RaT5u6aGzFjobqd1H/hwI6zC1u2vE\n9P7grtO6jOlhV9j9t5XW3Ski+90V2vUhiXNw6KzMO/gAAAAAoDEHfAAAAADQmAO+29u8o7VX7jVh\n/dfS8hySkjUlxyk6ZX0GXa53Qs6EDKfqlPW1rtm75r7WI/edeo3lOl1aprQ8t5Cyp/f230uvpeWp\nysxUlZvrkPTM6fn2aZXZZ/ABAAAAQDifwQcAAAAAT8oBHwAAAAA05oAPAAAAABpzwAcAAAAAjTng\nAwAAAIDGnvOAb4yX1RH2GZt1ucaoNWsHdLHyup9iWTeHBPS2K73DjiLn7lxBc9phRtt1HtTvMR36\nX23J/IXNUNKcxP88COguqa9rxHe99aDOE3qN7iTg3tuV0NepInsN6/OQTl1vJXY+5pyrM+x16NG/\nJ3zzrEu/947GZsz5YU2uMWrOWY9fO6CLldf9FMu6OSSgt13pHXYUOXfnCprTDjParvOgfo/p0P9q\nS+YvbIaS5iT+50FAd0l9XSO+660HdZ7Qa3QnAfferoS+ThXZa1ifh3TqemtV54fOyp7zHXwAAAAA\n8E444AMAAACAxp71gG+zOsAbVuZatXZCFwkZDknMl5YpLc8zeIZrmrSHpCxv6ZBxV6e8nbKusuIa\npfWSlCcpyz4J+RIy3EKXfTwqZ8L1SMjwlrRsaXkOScyamOktnbJuxWV+zs/gAwAAAIAn4jP4AAAA\nAOBJOeADAAAAgMYc8AEAAABAYw74AAAAAKAxB3wAAAAA0Ni7O+Abm/GyOsM+Y9TL4gDL1tfJEQu7\n2ZXaU7KYGbpEyNydotNstpiJBt136vwRzNXlUmYprsOwvlJ6OkVcl8cEdL2y3zZ9vfOeThXTZ0Bf\nx3To8xwx3V/ihvMy5py3eq2bOvTo36tedzPm/HD7173WGDXnrHW5xph1h+t90tI6ORZkWTefiRHa\nU7KYGbpEyNydotNstpiJBt136vwRzNXlUmYprsOwvlJ6OkVcl8cEdL2y3zZ9vfOeThXTZ0Bfx3To\n8xwx3V/izHk5dFb27t7BBwAAAADPxAEfAAAAADTmgA8AAAAAGnuPB3yb1QHesDrXyvVX7/0tKbnk\n6KvzNeuUXdbbkrGfDtcjNWNKrpQcW/JcrlPWqoy8/jvkuIScCRmOScmYkuOQDhnP0Xk/N8v+7h6y\nAQAAAADdeMgGAAAAADwpB3wAAAAA0JgDPgAAAABozAEfAAAAADTmgO+IMepldYZPjfGyPMJmfYat\n5d0s7COphyTLZ+JcAff0Mc8ya2bjNp5lHs7RYnZC5+USSTMW1X1Ax0nd7BPV1yEBXe5K7bVNn1v+\nu+BzlncYdq9tpfZ1C8s7v8aTzIun6B7NUXPOWp6jqqrGmLX4mozNmPPD+l6qArpZ2EdSD0mWz8S5\nAu7pY55l1szGbTzLPJyjxeyEzsslkmYsqvuAjpO62Seqr0MCutyV2mubPrf8d8HnLO8w7F7bSu3r\nFpZ3fo1G8+IpugAAAADwpBzwAQAAAEBjDvgAAAAAoDEHfMdtVgfYkZAlIcPW6iwr11+991TdrkuH\nvB0ynqLbPlLzpua6pw577pDxVEl7keWzEjIckp5vKy1nWp6t1Fxv8d8Fn7c61+r135Ka6xY67y01\n+1m5PGQDAAAAAMJ5yAYAAAAAPCkHfAAAAADQmAM+AAAAAGjMAR8AAAAANBZ9wDdGvazOcNQYL6sj\n7Bqb9XmientwPwnXf4Wozg8Ju1+3us9Nm/5PFTonW93nZVeL2Qmfh3N0n53IeVk0H6ldRna0K+B+\nTuouvq9b0PnnLOk9oIddaZ2cq+29GzYHp+o0L9FP0a2aNWdlP0l3jFlBT/sdmzHnh7V5xqgZ09uD\n+0m4/itEdX5I2P261X1u2vR/qtA52eo+L7tazE74PJyj++xEzsui+UjtMrKjXQH3c1J38X3dgs4/\nZ0nvAT3sSuvkXG3v3bA5OFXavHiKLgAAAAA8KQd8AAAAANCYAz4AAAAAaCz9gG+zOsAJ0jIm5EnI\nsPXoLEl7f6Qu+07NmZrrVN3zv5a+n/R85+iwlw4ZT9V9L4n5V2VKvBZVubm2EvIlZNhKynIvCXtM\nyLBrRR7X4La65pf7zqIfsvHWBwcCAAAAwHviIRsAAAAA8KQc8AEAAABAYw74AAAAAKAxB3wAAAAA\n0JgDPgAAAABo7PkO+MZ4WR1hn7HJyTVGvSwOsGz9pB6usbzDSwTdm13noGXvpwiajWM6zU6beWnU\n/yGdZuNUbWZoK2CW0uYgssNFPSV0E9nHvQTcj8eYiYroKaGHY5b3dKmAfq9hNs435pyrM+x16NG/\nR75x1iXfd2djM+b8kJFrjJpz1rosCztK6uEayzu8RNC92XUOWvZ+iqDZOKbT7LSZl0b9H9JpNk7V\nZoa2AmYpbQ4iO1zUU0I3kX3cS8D9eIyZqIieEno4ZnlPlwro9xpm46013z4rO/oOvjHGl8YYf3CM\n8V9+/PXfO8b4vluHBAAAAADOd8of0f0Pq+rHqupv//jr/7Gq/pV7BQIAAAAATnfKAd8vn3P+kar6\nG1VVc86/VlV//a6prrNZHeANSblWZ1m5/uq930rHfSRlTspyjq65j+m0L1lvr0vOY55lH7u67Skh\nb0KGXWl5qtZlSrgWCRkepcNeEzKuzrB6/aqMDMd0yLhP19xbHfJHZTz6GXxjjE+q6p+pqj8+5/x1\nY4zfWFU/OOf8TXcNduln8AEAAADAkzl0VvZtJ3z/76mqH62qXzPG+K+r6ldU1T97w3wAAAAAwIVO\neoruGOMXVNV3VdWoqv/h4x/TvW8w7+ADAAAAgKo6fFZ2yh/R/baq+ier6lfXz7/jb845/8CR7/tF\nVfUTVfW3VNUvrKr/dM75A2OML1TVH6mqX1VVX6+q75lz/pVzQgMAAADAe3LorOyUh2z8aFV9b1V9\noap+ycf/ffuxb5pz/r9V9ZvnnH9/Vf3aqvrNY4x/pKq+v6q+Nuf8rqr68Y+/BgAAAAAucMpn8P3K\nOeevveTF55z/z8e//YVV9a1V9Zer6ruravuAjq9W1SflkA8AAAAALnLKO/h+bIzxj1/y4mOMbxlj\n/Kmq+kZV/Yk5509V1RfnnN/4+CXfqKovXvLa1xib8fLoNU8xRr2szvCp8dhrlNrJPlE9HfLgDk+l\n6yChM7IrfV7iZ6RBx6dIn4Nbi5+rrfD5Sp6bmI7f0e/3Yq75I4Xfo7vS7tcl8xLWV0Inre/bsD4v\nlTAHp2ozL3ecjVM+g+93VNV/VN88DNw+XGPOOX/pyYuM8cuq6r+qqh+oqv9kzvmdO//u5+acX9jz\nPXf7DL6xGXN+yPt8vzFqzlkZucaY9cDPQEztZJ+ong55cIen0nWQ0BnZlT4v8TPSoONTpM/BrcXP\n1Vb4fCXPTUzH7+j3ezHX/JHC79FdaffrknkJ6yuhk9b3bVifl0qYg1O1mZcrZ+PQWdkpf0T3D1TV\nb6yqPz3n/JuXBJhz/h9jjP+sqv6BqvrGGONLc86fGWN8uap+9kDwl51ffjLn/OSS9QEAAACgkzHG\nV6rqK6d87SkHfH++qn7q3MO9McYvr6q/Puf8K2OMv7WqfmtVbarqR+qbD+34wY9//eG3XmPO+XLO\nmgAAAADwDD6+0e2T7a/HGB/e+tpTDvj+l6r6E2OM/6Kq/r+fX2P+gSPf9+Wq+uoY41vqm3+89w/N\nOX98jPGTVfVDY4zvq6qvV9X3nJDh1jYL1jxFUq5HZ0na+zFdsqbmTM21T6esl+iwv/SM8j3Gs+zj\nVF32m54zOV9Ktvf0+72Ua/5InfaclnVFHtfg8xIyXKpz9l2d9tEl691ynvIZfC8f/3b7haO+ecB3\n14t3z8/gAwAAAIBODp2VHT3gW8UBHwAAAAB800UP2Rhj/Dtzzn9pjPGje/71nHN+980SAgAAAAAX\nefMdfGOMvzrn/PaPT+x4bc45f+KuwbyDDwAAAACq6sJ38FXV/1T16RM7AAAAAIBAhw74fsUY41+t\nbz5U47VTnqILAAAAANzZtxz4d99aVd9eVb9kz/++/f7R1hujXlZn+Iyff6Lx45ferFt7n7hudi3s\naZ+07k4R3e81wmbjkNS5iZyNRr3uk9r1vUTO0LlCZ67rLEXOxAM6XtFX5LW+hdB78lyp9/DyuQno\nd2U3y6//NQK6O1Xq/Xeu6Hl5B/Nw6DP4fnLO+euuCXWNhM/gG6PmnHvfwbjGGLMWXZOxGXN+yPlM\nxLhudi3saZ+07k4R3e81wmbjkNS5iZyNRr3uk9r1vUTO0LlCZ67rLEXOxAM6XtFX5LW+hdB78lyp\n9/DyuQnod2U3y6//NQK6O1Xq/Xeu6Hl5knk4dFZ26B18AAAAAEC4Qwd8v+VhKQAAAACAi7x5wDfn\n/N8fGSTUZnWAV1bmcS1Ol5YtLc8pOmY+Rad9pWZNzJWY6Rzd85/rGfabuofUXMck5n5EphX7TrzW\nt/As+0rdx+pcq9ev8t+Bl+qUvVPWQ5L3kZzttYuyvvkZfKslfAYfAAAAACTwGXwAAAAA8KQc8AEA\nAABAYw74AAAAAKAxB3wAAAAA0JgDPgAAAABoLPqAb4x6WZ3hoDFelkfYBGRI7Ek3Z4ns8NYCZuKQ\nDvMSMyfhXe7Tod9bi5mXczWcr6peM9ZuNh48E4/qsl0Pu5rep4ek38NR8xLU/6N7i+rhkKCO3pJ+\nzx3TZhZeMxt3NeacqzPsNcaYVbPmrL2P/40wxqw3Hk/8sAibMeeHxRlGzbiedHOWyA5vLWAmDukw\nLzFzEt7lPh36vbWYeTlXw/mq6jVj7WbjwTPxqC7b9bCr6X16SPo9HDUvQf0/ureoHg4J6ugt6ffc\nMW1m4TWzcbUxxpxvXMPod/ABAAAAAIc54AMAAACAxhzwAQAAAEBj6Qd8m9UBjkjIJ8N+CZkSMpyq\nU9ZLpe8xPV9VTsaUHOfomPlaXfcs9/11ylr1+LyPWq9bD7s6Z39L+p6S8r3nLEl7P6RDzg4ZD+ma\nv0PuDhn3in7IxlsfHAgAAAAA74mHbAAAAADAk3LABwAAAACNOeADAAAAgMYc8AEAAABAY/0P+MZ4\nWR1ha2xyslRVjVEvqzNU1dKO0jp5Laajewi6N49JnZO4+dBpjLjZuIR5erg2cxM2G4/uP7qnsG6u\n0em+jpuJ0DlY2WlcR1V6urHIjs8VOhP7pM9J6jz0f4ruGLNCnrY7NmPODxlZqqrGqDlnrc+zsKO0\nTl6L6egegu7NY1LnJG4+dBojbjYuYZ4ers3chM3Go/uP7imsm2t0uq/jZiJ0DlZ2GtdRlZ5uLLLj\nc4XOxD7pc7JyHjxFFwAAAACelAM+AAAAAGjMAR8AAAAANPYMB3yb1QF2JGWpysmzMkfKNXhLer5r\ndNpbata0XGl5DumU9RLPsL9Oe+iU9ZAu+0jL+eg8afvflZztXJ32kpY1Lc+W/+b4rMRMVbm5juma\ne1enPaRnjczX/yEbAAAAAPDkPGQDAAAAAJ6UAz4AAAAAaMwBHwAAAAA05oAPAAAAABp7ugO+sRkv\nqzPsM0a9rM7wOeOx10o3D/LgXm8hbTZiZqJhl1V5fZ4rpv9rNJqd7vOyZW5uJ2kmInsN6elSSf2+\nJbL3rfD+U/qN6zCst5SeThHX5bXCZuEUqfMSPRuLen66p+iOzZjzQ97Td8eoOWdl5Rpj1gOfVKyb\nB3lwr7eQNhsxM9Gwy6q8Ps8V0/81Gs1O93nZMjc3jBE0E5G9hvR0qaR+3xLZ+1Z4/yn9xnUY1ltK\nT6eI6/JaYbNwitR5iZ6NO/bsKboAAAAA8KQc8AEAAABAYw74AAAAAKCxZzzg26wO8IbEXI/OlHgN\nqnJzXarjftIyp+RJyXGurrm3uuev6rWHTlkPeYZ9pOwhJUdVVpatxEzn6JA/OWNytqqcfCk5tuS5\nXKesp+i4n9TMqbmqFmV7uodsAAAAAMCz8ZANAAAAAHhSDvgAAAAAoDEHfAAAAADQmAM+AAAAAGjM\nAR8AAAAANPauDvjGqJfVGd40xsuypTfr1t4nuqd9FnZ3C2n9by2fg0a9pnZ4yPJ+r2E2Hq71vGw1\nmJuEeWnXtV5vKrL/Bh1vJXWty9Ml9faWyD4PCe36GulzEjkjYXPwiA7HnPPea1zk0KN/L3/NmnPW\nTV/zZsaYdeP9nrz0Zsz5Yc3a+0T3tM/C7m4hrf+t5XPQqNfUDg9Z3u81zMbDtZ6XrQZzkzAv7brW\n601F9t+g462krnV5uqTe3hLZ5yGhXV8jfU4iZyRsDm7V4aGzsnf1Dj4AAAAAeDYO+AAAAACgsfd2\nwLdZHeCAldnSrktanmO65X0tNf/qXKvXP0enrFsdM291yt4p6yHPsI8Oe0jImJDhHB3ydsi4lZg1\nMdNbkrImZdlKzFSVm2tXh4y7uuU9RfqeEvOlZbp7nnf1GXwAAAAA0JHP4AMAAACAJ+WADwAAAAAa\nc8AHAAAAAI054AMAAACAxhzwAQAAAEBjDvh2jfGyPMJmfYZ9xqiX1Rk+J6CvW0nqParroI6TOrpE\nVK+nCOr+Ld1nYqvdbLwlfGY6zEvbWQjtXudXCu31mITeo3vdFd5xQpf7RPYb3uU1Uudgn8jZ2BUw\nJ6l93qq7Mee8xevc3KFH/95x0VmPXvN1hM2Y88PaDPuMUXPOysoV0NetJPUe1XVQx0kdXSKq11ME\ndf+W7jOx1W423hI+Mx3mpe0shHav8yuF9npMQu/Rve4K7zihy30i+w3v8hqpc7BP5GzsCpiT1D7P\n6e7QWZl38AEAAABAYw74AAAAAKAxB3yftVkdoDIy7JOYKzHTpZL2Ist+SVku0S1/h7wdMp7CPh4j\nPV9Vj4z7pOZOzbUrOWNytkMScidkOEV6ztR8ibkSM91Kp72lZ03Il5Bhn5vk8hl8AAAAABDOZ/AB\nAAAAwJNywAcAAAAAjTngAwAAAIDGHPABAAAAQGMO+AAAAACgMQd8e4zNeFmd4Zgx6mV1hqqqGvnX\n6pDUrpf3G9BrajfHLO/uUgGdv6XrLFQ1nofXguejqseMPM0svGY2LhI5D+Fd7krtdVdkx6/p/GIx\n/Tbq8FRpXZ8qZiaOCZqZtK6jOzyxtzHnvHOSyxx69O/d196MOT+sWftUY9Scs9ZnHGPWop5uIbXr\n5f0G9JrazTHLu7tUQOdv6ToLVY3n4bXg+ajqMSNPMwuvmY2LRM5DeJe7UnvdFdnxazq/WEy/jTo8\nVVrXp4qZiWOCZiat6+gOd3o7dFbmHXwAAAAA0JgDPgAAAABozAHffpvVAU6QkjElx6VS86/OtXr9\nqowMl5D79pKzHdM5+670faTnq+qR8RLp+0rNl5grMdNbOmSV8bbSsqbkSclxS1331CV3Us6kLFV5\neXadlM1n8AEAAABAOJ/BBwAAAABPygEfAAAAADTmgA8AAAAAGnPABwAAAACNOeADAAAAgMYc8F1h\njHpZneFzxnhZHeGQscnOVxXU68IuO/S0FdPXqdyjd9FuDnaZiau17v8U4TPylvTZiZqb8I5Tu4zq\n8JDwfk9lDt4MsHb9G0rteJ/lvZ8rdE5SO4/sN6DDY32NOeeDopzn0KN/U4xRc87KyjjGrODrNjZj\nzg+5+aqCel3YZYeetmL6OpV79C7azcEuM3G11v2fInxG3pI+O1FzE95xapdRHR4S3u+pzMGbAZ6i\n36rcjvdZ3vu5QucktfPIfgM6HJsx66XqrbMy7+ADAAAAgMYc8AEAAABAYw74AAAAAKAxB3zX2awO\nsEdipl3p+apyMq7MkXINTtEpa1V+3vR8b+mauyo/e3q+qh4Zr9F1f+m5k/IlZdknNV9qrte65Dwm\ndR+rc61e/5Y67aVT1qrcvHKdLiHTwQwesgEAAAAA4Q6dlXkHHwAAAAA05oAPAAAAABpzwAcAAAAA\njTngAwAAAIDGWh7wjVEvqzO8aYyX1RHeMjaZ2eL6DOkwta+tuN7eEtLna+n9HtOm/y1zcLF2Xd9C\n6Lzs02GG9ombq+DOkzqO6+0twX1eKmkO9omajUb9p/e6T1TXh4TPQYfuY7oO6zK5u5ZP0R2j5pyV\n+YTdMWaFPv13bMacH/KyxfUZ0mFqX1txvb0lpM/X0vs9pk3/W+bgYu26voXQedmnwwztEzdXwZ0n\ndRzX21uC+7xU0hzsEzUbjfpP73WfqK4PCZ+DDt3HdB3W5eruPEUXAAAAAJ6UAz4AAAAAaMwBHwAA\nAAA01vWAb7M6wAGynS8tV0qelBxvSc+3lZozNdepuuVPzZuaa1eHjLfWac+dsu5Ky52WZ1dStqQs\nh3TJeY70PSXlS8pyTKesW10yp+dMz1eVkzElx1Zank+1fMgGAAAAALwnHrIBAAAAAE/KAR8AAAAA\nNHbXA74xxt85xvgTY4yfGmP86THGv/zxn39hjPG1McZPjzF+bIzxHffMAQAAAADP6q6fwTfG+FJV\nffJii3kAACAASURBVGnO+afGGL+kqv7bqvrtVfU7q+p/m3P+/jHGv1FV3znn/P5X3+sz+AAAAACg\nFn4G35zzZ+acf+rj3/9fVfVnq+pXVtV3V9VXP37ZV+ubh37XG+PlJq9zJ2OTlW+Melmdoariekvr\naSumr1Pp9WrtOt+l/5O07vhewmbntdRZOiZ61nR+kugOt8K7PEdK76eInI3wWdDvHYV2r/MrBfSq\nwxPWfdRTdMcYv7qqfqKq/r6q+vNzzu/8+M9HVf3c9tc7X3/+O/jGmBX8rr+xGXN+yMk3Rs05a32e\nsN7SetqK6etUer1au8536f8krTu+l7DZeS11lo6JnjWdn5YjucOt8C7PkdL7KSJnI3wW9HtHod3r\n/EoBvepw+9qLn6L78Y/n/sdV9bvnnH9199/Nb54wPuaUEQAAAACezLfde4Exxi+obx7u/aE55w9/\n/MffGGN8ac75M2OML1fVz77xvS87v/xkzvnJXcMCAAAAQIAxxleq6iunfO1dD/g+/vHbP1hVf2bO\n+W/t/Ksfqarvraof/PjXH97z7TXnfLlnPgAAAABI9PGNbp9sfz3G+PDW1977HXz/cFX9c1X1348x\nfvLjP/uBqvp9VfVDY4zvq6qvV9X33Gi9zY1e517S8qXkScmxlZZnKzXXW9LypuU5RcfMW2nZ0/Js\npeZaKf2apOd7S3Lu5GxVOflSchzSIeOpOu0lMWtipl3p+XZ1ylqVmzc11z6JWRMyJWQ41ZKsD3vI\nxrkuesgGAAAAADyh5Q/ZAAAAAADuwwEfAAAAADTmgA8AAAAAGnPABwAAAACNOeADAAAAgMbezQHf\n2IyX1Rn2GaNeFgdYu37ldrNreU+nCOhynw79brXo+TW9H9Wy13sJnZdTJc3VqSLnr9EcJHUe2eU+\njfrdJ6nzt0TPQqP+dX0jDTpP7zq+56CO07usCu/zzl2OOec9X/9ihx79e9HrbcacH273ercyRs05\na12uMWbd8DpfFCG0m13LezpFQJf7dOh3q0XPr+n9qJa93kvovJwqaa5OFTl/jeYgqfPILvdp1O8+\nSZ2/JXoWGvWv6xtp0Hl61/E9B3Wc3mVVeJ836PLQWdm7eQcfAAAAADwjB3wAAAAA0Nh7OuDbrA7w\nhtW5Vq9flZHhGBkvl5prn05Zt1IzJ+VKyrJa92vRMX9i5sRMb0nKmpTlkC4539Ihf3LG5Gyvdcgq\n422kZ5TvdElZ3pKc8a7Z3s1n8AEAAABAVz6DDwAAAACelAM+AAAAAGjMAR8AAAAANOaADwAAAAAa\nc8AHAAAAAI292wO+MepldYZPjfGyZNnNmnVPEdXPKRZ1uE9yr4e06VzXR7Xp8taCZuNWUmfskOj5\nazAjqZ1H97qrQcevpXa+T+Qc6PyuIjvfFdq/jq+k16vp9Xy36HfMOW8Q5fYOPfr3Nq9fc8662+uf\nZYxZd9zrm8tuxpwfHr/uKaL6OcWiDvdJ7vWQNp3r+qg2Xd5a0GzcSuqMHRI9fw1mJLXz6F53Nej4\ntdTO94mcA53fVWTnu0L71/GV9Ho1vZ7v1H4PnZW923fwAQAAAMAzcMAHAAAAAI295wO+zeoAO1Zl\nSboGryVn2ycpb1KWc3TJnZQzKcuu1Fz39oz77rin5MzJ2bZSM6bmeq1Lzl2dMidmTcx0TKfM6VlT\n86Xm2icxa2Kmqtxc+yRmTcy06+p87/Yz+AAAAACgC5/BBwAAAABPygEfAAAAADTmgA8AAAAAGnPA\nBwAAAACNOeADAAAAgMbe9wHfGC/LI2zWZ9g1Rr2sznCSgO72SevzkDZdbwV0ntZvuw6vEdD/I6XN\n2iHRc9hobtI6j+51V6OO90nr/bXoOQjtPr3Tc0T3vytoFjr0H91rUJdVPfp8Tb+XSe363D7HnPNO\nUa5z6NG/N1xk1r3XOBZhM+b8sDbDrjFqzlkxed4U0N0+aX0e0qbrrYDO0/pt1+E1Avp/pLRZOyR6\nDhvNTVrn0b3uatTxPmm9vxY9B6Hdp3d6juj+dwXNQof+o3sN6rKqR5+v6fcyqV3v6/PQWdn7fgcf\nAAAAADTngA8AAAAAGnvvB3yb1QEqI8OutDxvSc2ZmmufTlmrMvImZNiVluee3tNeq3rtNzlrcrbX\n0rKm5XlLl5xvSc+fnC81W2quS3TZS1LOpCxvSc6Yli0tzymSM8t2vrNyve/P4AMAAACABnwGHwAA\nAPD/t3evMbb2Z1nArztvgXAoIgkpCI2t2BJq8ICAgCG8ImDjATBRoAmHECIfsFoRDeCXPfMNNIoE\nQoxySEEoQSCEGhUatFGLoRwKQg8cDI0t0JYICGgkPfz9sGfBYrpm9sxea+113zO/35d3Zq09s65n\nrvt5s3PvZ9YD3FEWfAAAAAAwmAUfAAAAAAxmwQc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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "31.8757892278\n" + ] + } + ], + "source": [ + "plt.rcParams['figure.figsize'] = 22, 12\n", + "plt.scatter(location_list, time_list, c=[\"r\", \"g\", \"b\"], marker= \"|\")\n", + "plt.ylabel(\"Time\")\n", + "plt.xlabel(\"Distance\")\n", + "plt.ylim(times.min(), times.max())\n", + "plt.xlim(locations.min(), locations.max())\n", + "plt.show()\n", + "print(avg_speed + stdev_speed)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "def hard_sim(speed_limit=200, run_time=60):\n", + " road = Road(7, ([1000, 1], [2000, 1.4], [3000, 1], [4000, 2], [5000, 1], [6000, 1.2]))\n", + " drivers = [Driver()]\n", + " car_types = [[1, Car, 5, \"basic\"]]\n", + " sim = Simulation(road, drivers, car_types, speed_limit)\n", + " return sim.run(run_time)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "speeds, locations, times = hard_sim(run_time=60)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "location_list = [y for y in locations]\n", + "time_list = [time for time in times]\n", + "avg_speed = speeds.mean()\n", + "stdev_speed = speeds.std()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "32.5834248657\n" + ] + } + ], + "source": [ + "plt.rcParams['figure.figsize'] = 22, 12\n", + "plt.scatter(location_list, time_list, c=[\"r\", \"g\", \"b\"], marker= \"|\")\n", + "plt.ylabel(\"Time\")\n", + "plt.xlabel(\"Distance\")\n", + "plt.ylim(times.min(), times.max())\n", + "plt.xlim(locations.min(), locations.max())\n", + "plt.show()\n", + "print(avg_speed + stdev_speed)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def nightmare_sim(speed_limit=200, run_time=60):\n", + " road = Road(7, ([1000, 1], [2000, 1.4], [3000, 1], [4000, 2], [5000, 1], [6000, 1.2]))\n", + " drivers = [Normal_Driver(), Aggressive_Driver(), Commercial_Driver()]\n", + " car_types = [[.75, Car, 5, \"normal\"], [.1, Car, 5, \"aggressive\"], [.15, Car, 20, \"commercial\"]]\n", + " sim = Simulation(road, drivers, car_types, speed_limit)\n", + " return sim.run(run_time)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "collapsed": false + }, + "outputs": [], + "source": [ + "speeds, locations, times = nightmare_sim(run_time=60)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "location_list = [y for y in locations]\n", + "time_list = [time for time in times]\n", + "avg_speed = speeds.mean()\n", + "stdev_speed = speeds.std()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "32.1196144727\n" + ] + } + ], + "source": [ + "plt.rcParams['figure.figsize'] = 22, 12\n", + "plt.scatter(location_list, time_list, c=[\"r\", \"g\", \"b\"], marker= \"|\")\n", + "plt.ylabel(\"Time\")\n", + "plt.xlabel(\"Distance\")\n", + "plt.ylim(times.min(), times.max())\n", + "plt.xlim(locations.min(), locations.max())\n", + "plt.show()\n", + "print(avg_speed + stdev_speed)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "def nightmare_sim_normal_road(speed_limit=200, run_time=60):\n", + " road = Road(1)\n", + " drivers = [Normal_Driver(), Aggressive_Driver(), Commercial_Driver()]\n", + " car_types = [[.75, Car, 5, \"normal\"], [.1, Car, 5, \"aggressive\"], [.15, Car, 20, \"commercial\"]]\n", + " sim = Simulation(road, drivers, car_types, speed_limit)\n", + " return sim.run(run_time)" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "speeds, locations, times = nightmare_sim_normal_road(speed_limit=200, run_time=60)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "location_list = [y for y in locations]\n", + "time_list = [time for time in times]\n", + "avg_speed = speeds.mean()\n", + "stdev_speed = speeds.std()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "collapsed": false + }, + "outputs": [ + { + "data": { + "image/png": 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Yvc7K/S7meYHnlGNm1GxYvYrmPKLeXnmOXcyzPRncn5V7Tm/Nk6212TEcteWr\nlGG6zBb6ua8COc5Dtvbu7RjO/bpeMqO1Fnnqz9O9VcvOtX6qz6g6Dcn/wPkxu79fKtffq1qkB4f2\n2+R979i9zsr9LuZ5geeUY2bUbFi9iuY8ot5eeY5dzLM9GdyflXtOb11my7MyPyEIAAAAAAtxIAgA\nAAAAC3EgCGMcZgewgAo5PjeG2bG+HH92PC+9FU/veA8vfu1txDgja7y3fmKMVXpwlfs8Nf6smGbn\n4hxVY5wR1z3tr9eqHNspe4y5stH5rFy/yrHdNZ8hCAAAAADF+QxBAAAAAOAqDgQBAAAAYCEOBAEA\nAABgIQ4EAQAAAGAhDgQBAAAAYCEOBLlvmQ+zQ7gLBfKYh/NiOPfresmMh9f+XMqxunau9Tn1GVXD\nIbUZOHdm9/5zpft+ZQP6sUIfTum/K3O7Zawjc7+rOV7gGeaY0XNlWs0K5r/COnWJXc23PZjUkxX7\nTm+RrbXZMRy15auUWVhmC310uwJ5zEO29u7tGM79ul4yo7UWeerPpRyra+dan1OfUTUcUpuBc2d2\n7z9Xuu9XNqAfK/ThlP67Mrdbxjoy97ua4wWeYY4ZPVem1axg/iusU5fY1Xzbg0k9WbHv9NY+bXlW\n5icEAQAAAGAhDgQBAAAAYCEOBLl3h9kB3IkKeTw3htmxvhx/djyvORZb73jPuf6onI0YZ2T9K/Va\npVj41L31/CkzYrh2zC1jXXW9eUvVWEfHNSsPFfNfMabX7C3e6syFT1WMiYF8hiAAAAAAFOczBAEA\nAACAqzgQBAAAAICFdD8QzMzvzMyfzsyfePzzFzLzm5n5c5n5k5n53b1jAAAAAADeG/ETgr8nIn42\nIp4+rPCHIuKbrbXvjYifevwzAAAAADBA1wPBzPzbIuJ3RMS/FxFPH3r4/RHx9cfffz0ifmfPGAAA\nAACAT/X+CcF/IyL+tYj4G8/+2xdbax8//v7jiPhi5xiYIfNhdgi7MzFnebhs7Eu/vofMeHjtz9Md\nq+egGl9bn1F1HVKrgfOpwnx4Um4ecFrHHp3VkzP67zNjFnj26J373c7xArV5Mnp+TKtZoZy/VGnf\nfM1u51tVk3qyer/pM2bK1trbX3XNhTP/iYj4x1pr/0JmfiUifm9r7Z/MzL/cWvueZ1/3C621Lxz5\n/s1epcwEmS3U7zITc5aHbO3d+WNf+vU9ZEZr7ZOfPP7cn6c7Vs9BNb62PqPqOqRWA+dThfnwpNw8\n4LSOPTrREBlEAAAgAElEQVSrJ2f032fGLPDs0Tv3u53jBWrzZPT8mFazQjl/qdK++ZrdzreqJvVk\n9X7TZ1xqy7OyD7a4yAn/QER8f2b+joj4JRHxyzPzD0fEx5n5pdbatzPzyxHx86cukJ/9/yJ82Fr7\nsGO8AAAAAFDC4w/YfaXHtbsdCLbWfl9E/L6IiMz8LRHxr7bW/rnM/AMR8QMR8SOPv/7YK9d46BUf\nAAAAAFT1+INxHz79OTPfbXXtEW8ZfvL0b5N/f0T89sz8uYj4hx//DAAAAAAM0POfDH+itfZRRHz0\n+PtfiIjfNmJcpjrMDmCHZubs0rEr1PdlDBVieu5YPKNivHac6vFVG2PGWG+pFAuv61mrWX0wY9zD\nid/P0juGCvd4jUpxj45lpfl4rsqxPbeXOPfCXDiuenzcsW4vFbmVl4oAAAAAwHtbnpWN/CfDAAAA\nAMBkDgQBAAAAYCEOBAEAAABgIQ4EAQAAAGAhDgTvTebD7BBKmpiXPFw29qVf30NmPLz25+neqmfH\nel9bn9l1HVbDgXNtdk6fKzdHOM+Afh3dp5f24ma9W/D5o1fudzXfF6rL58aZVaeCOX9Sad88167m\nW1WTerJ6v+kt8Jbh+5PZQt4+b2Je8pCtvTt/7Eu/vofMaK1FnvrzdG/Vs2O9r63P7LoOq+HAuTY7\np8+VmyOcZ0C/ju7TS3txs94t+PzRK/e7mu8L1eVz48yqU8GcP6m0b55rV/Otqkk9Wb3f9BZ75S3D\nAAAAAMBVHAgCAAAAwEIcCAIAAADAQhwI3p/D7ACKmpmXS8euUMOXMVSI6bm34ukZ77XXnp3DUeOP\nvM/ZOX2uUiycb0TdRvfGrD2n4hzoFVPFez2lYqz3uB9VGPcclWM7ZY8xV2MuHFc9PujOS0UAAAAA\noDgvFQEAAAAAruJAEAAAAAAW4kAQAAAAABbiQBAAAAAAFuJAcAuZD7NDmGri/efhsrEv/foeMuPh\ntT9P91Y9O9b72vpUrOuEAIaNXyHfT6bnne0UXFvOuvYbPTi0Rws+j4xYL0quA4vW4nNjjqpNwXw/\nV2nfPFfJebVXg/uzer/pLajDW4a3kNliL7H2MPH+85CtvTt/7Eu/vofMaK1FnvrzdG/Vs2O9r61P\nxbpOCGDYPKyQ7yfT8852Cq4tZ137jR4c2qMFn0dGrBcl14FFa/G5MUfVpmC+n6u0b56r5Lzaq8H9\nWb3f9BbcxluGAQAAAICrOBAEAAAAgIU4EAQAAACAhTgQ3MZhdgCTzbz/S8euUKuXMVSI6bm34ukZ\n77XXrpDD2TGMHH/2vT5XKRZuU3Ft2eLaq87NJyNiWvW+LzUjplFjVsz3c9XjO2aPMVc1OpfVa1c9\nPliGl4oAAAAAQHFeKgIAAAAAXMWBIAAAAAAsxIEgAAAAACzEgSAAAAAALMSBIAAAAAAsZN8HgpkP\ns0PorsA95uG8GM79up4y4+G1P0/3Vj071/uaGlWs64QA5o4fNerw3PSa0MeAXj/Wy737aUq/Tl43\nRq8ZK+b4XDPW72H1KF6DanvnW+ytGxvcn5X7TW8Bx2RrbXYMR531KuXMFhu9brmsAveYh2zt3dsx\nnPt1PWVGay3y1J+ne6uenet9TY0q1nVCALuZh6NMrwl9DOj1Y73cu5+m9OvkdWP0mrFijs81Y/0e\nVo/iNai2d77F3rqxwf1Zud/0FtyPs87KzrTvnxAEAAAAAC7iQBAAAAAAFrL3A8HD7AAGqHCP58ZQ\nMdYKMT33Vjy9473m+hVyODuG2eNH1IjhuWrxsI0RdT02RsW1b49jzhx/xRyf655zU70G1eN7aW/x\nVrfCOniuyrEBk+z7MwQBAAAAYAE+QxAAAAAAuIoDQQAAAABYiANBAAAAAFiIA0EAAAAAWIgDQQAA\nAABYiAPBzIfZIbyUh+Mxnfrvo2XGw/Nfy3irlp1rfU19KtR0eh0LzsHnKtTouen1oo8b58GlfTGz\nr4f28OT1ZUSeV8rnayqs1WrxqQr1uIS9tYNBPVq91/QWLKz4Xh0Rka212TEcteWrlN8YqMWIcS6Q\nh2zt3edjOvXfR8uM1lrk06+z4/nEW7XsXOtr6lOhptPrWHAOPlehRs9Nrxd93DgPLu2LmX09tIcn\nry8j8rxSPl9TYa1Wi09VqMcl7K0dDOrR6r2mt2BhndbBLc/K/IQgAAAAACzEgSAAAAAALMSBYMRh\ndgBHnIqpSqyHF79W8VY8veO95voVcjg7htnjv6VafNXiYRu31vXS75/ZRyPHnj1fRoy/Uj5fUyE2\ntfhU9fhe2lu8ezAqp9VrVz0+oJ/y899nCAIAAABAcT5DEAAAAAC4igNBAAAAAFiIA0EAAAAAWIgD\nQQAAAABYiANBAAAAAFiIA8FHeciHPOTD7DieZMbD81+nyzNzc+7XXTr8FbWpWM8JA88ZdwOV6hdR\naC7SxdfyGx+OGGd0X5fq24nrUe+8D8lzsfV85ho9ta+L1eG5avvmOUqtUfdmQK9W7jm9BURE3X27\nSFzZWpsdw1Fbvkr5rPEO2SIi2rtxY74mM1prkU+/zo4nMlucU49zv+7S4Q/ZLq3NNd/Ty7Q6dqrH\nCJXqFzGxhgwxqr6j+7pU305cj3rnfUiei63nM9foqX1drA7PVds3z1Fqjbo3A3q1cs/pLSAi6u7b\nN8S15VmZnxAEAAAAgIU4EAQAAACAhXwwO4BCDrMDeOHw4tfZzo2jV7zXXLdK7iLmxVIpB5eqFnu1\neNjQV+MbH0V8dcRQo/uoUt/OjKX32CPurVItI+67nlXHfkvl2E7ZY8x7seK69Fzl2IBxqq4FJeLy\nGYIAAAAAUJzPEAQAAAAAruJAEAAAAAAW4kAQAAAAABbiQBAAAAAAFuJAEAAAAAAWsuSBYGY8bPE1\nm8m8bqxrv+/lZQ7XX+eW7+1laO3eDzh2vM6q1XR4PbnKpnXqOKdG9XeJvi26NvWsQfe8F8np6HVa\nP7+u2r55jhI1vVcDe7Vq7+kv4KQRa2ThZ4aXzl3He6332Vrrcd2bbfkq5c9fO1pr8eq1z/maDQNq\ncc29Xvt9Ly9zyNbeXXedW763l6G1ez/gJnWoolpNh9eTq2xap45zalR/l+jbomtTzxp0z3uRnI5e\np/Xz66rtm+coUdN7NbBXq/ae/gJOGrFGFn5meOncdfz51215VrbkTwgCAAAAwKocCAIAAADAQhwI\nAgAAAMBCVj0QPGz0NVu5dqytYrzlOiPzdK7RMVXMwS2q3U+1eDhuyzr1rPmofqrQtxViOGbP9a2S\n0xX3uQoxnFI5tlP2GPNe7OHvEL1VjQuYb8T6sKc16NxYu9zTki8VAQAAAIA98VIRAAAAAOAqDgQB\nAAAAYCEOBAEAAABgIQ4EAQAAAGAhpQ8EM+Nhg4vcfo0brpmHbcff+nrX2qQ21w8+b+yOqtT2ydQa\nL2pKzifOp949P62Hd7pGbb5f9cp/kfyOWrPtt6dV2zfPYW/taGC/Vu89fQZc5JL1s/izwXO91upb\nrlttfS79luGIFq3FbW9PyWyx9duKL7hmHrK1d9uNv/X1ro4jo91cm+sH376mBVSp7ZOpNV7UlJxP\nnE+9e35aD+90jdp8v+qV/yL5HbVm229Pq7ZvnsPe2tHAfq3ee/oMuMgl62fxZ4Pneq3Vt1x3i/XZ\nW4YBAAAAgKs4EAQAAACAhTgQBAAAAICFVD8QPBS5xi3X3Hr8HvdzjZlxVMnB1qrdV7V4VjAj5/c8\nl2fd217nzl72qyr5HRXHPc/RW1WP75g9xrwXI3NbvY7V4wNqmXm+0VPFZ9FS+Sv9UpGtPigRAAAA\nAPbMS0UAAAAAgKs4EAQAAACAhTgQBAAAAICFOBAEAAAAgIXs90Aw8yEP+TBsuIFjHR0/Y+z4Ofd+\nR5pd25eG1/qO7Cp3g+fY7D4fWps7WL961mvzWkzO94jenrK2FO7j2evJNXa1P+zNwF6t3nv6DLjI\na+tn4eeAiJrr8fOYRq7HJ8cqXsOIPb9lOLPlQ0R7N+ZNxHnINmqso+NntNZi3PiZLRZ5y/Ps2r40\nvNZ3ZFe5GzzHZvf50NrcwfrVs16b12Jyvkf09pS1pXAfz15PrrGr/WFvBvZq9d7TZ8BFXls/Cz8H\nRNRcj5/HNHI9PjlWpxp6yzAAAAAAcBUHggAAAACwEAeCAAAAALCQD2YHcIPDnY83e/zZ9ztStXut\nFs+e7Cl3q83pkePPvtct9LyHra89O98jxp9xj7Pz+prKsZ2yx5j3wvr+qerxAbW8tmZUX08qxnc4\n8fuR457z38vY70tFAAAAAGARXioCAAAAAFzFgSAAAAAALMSBIAAAAAAsxIEgAAAAACzEgSAAAAAA\nLGQ3B4J5yIfhY2aMGTPH31sFM2p6yrBaF7dcHgbMvSp9Pq22Bde3JWoyKe89czulh/XvzZbbV3qa\n2I/V+06fARfJ/HB2CG+pvO5es+Zufj/P9sQZe8DZ91PwWfK5bK3NjuGol69SzkO29m6bVyufH0O0\n1qL/mJktNnpt9J7MqOkpw2pd3HJ5GDD3qvT5tNoWXN+WqMmkvPfM7ZQe1r83W25f6WliP1bvO30G\nXKTg/v5S5XX3mjV38/t5VsMZe8DZ99Oh116eld3izZ8QzMwvZeYfysz/4vHPvz4zf3CLwQEAAACA\nsc75J8P/QUT8ZET8rY9//h8i4l/uFRAAAAAA0M85B4K/srX2RyPir0dEtNb+WkT8f12jOu5wx2PO\nuLcKKt13pVhmWi0PI+63Sk5nxVHl/p+rElPPOO6x3vf8HHCJijG9Zm/xVjYzl9XrWD0+oJaPZgdw\nhsrr2jWxbX0/hxO/H+XcMSvX8e3PEMz3H7j5T0fEn2it/cbM/M0R8SOttd/SNbAN/100AAAAAOzZ\nlmdlH5zxNb83In4iIn5dZv5XEfGrIuKf2WJwAAAAAGCss94ynJm/KCK+NyIyIv77x3823DcwPyEI\nAAAAABGx7VnZOf9k+IOI+Mcj4tfGpz9R2Fprf/CN7/sl8f7f5v9NEfGLI+I/aa39cGZ+ISL+aET8\nmoj4VkR8rbX2V458vwNBAAAAAIhtz8rOeanIT0TED0TEFyLilz3+33e99U2ttf8nIn5ra+3vjYjf\nEBG/NTP/oYj4oYj4ZmvteyPipx7/DAAAAAAMcM5nCP7q1tpvuObirbX/+/G3vzgivjMi/nJEfH9E\nPL2Q5OsR8WE4FAQAAACAIc75CcGfzMx/9JqLZ+Z3ZOafjoiPI+JPttZ+JiK+2Fr7+PFLPo6IL75+\njXi4ZuwzA+x37cLyUOe+u9Z3gnu7n2E6z8WZPT+9Jyatc5XWmSfTajF5r+lVi2H5LLhXV+zvY6av\nP/fgTufvVvQY8DmvrZtF9vTKa+vodfVoLm6o0xbxb1qfCT1Xub9eOuczBP+piPgP4/3h4dPLRFpr\n7ZefPUjmr4iI/zIifjgi/uPW2vc8+99+obX2hSPf01prmRmttejzWYKZLRb8nMI8ZGvvatx31/pO\ncG/3M0znuTiz56f3xKR1rtI682RaLSbvNb1qMSyfBffqiv19zPT15x7c6fzdih4DPue1dbPInl55\nbR29rh7NxQ112iL+Teszoed699eWnyF4zj8Z/oMR8Zsj4s+01v7GNYO01v73zPxPI+Lvi4iPM/NL\nrbVvZ+aXI+LnT31fZj5EvIvMw0NEfNha+/Ca8QEAAABgTzLzKxHxlR7XPuefDP/5iPiZSw8DM/NX\nZuZ3P/7+b46I3x4RPx0RPx7vX1ISj7/+2KlrtNYeIh6itfbgMBAAAACAVbTWPnw8E3t4f0a2nXN+\nQvB/jog/mZn/eUT8v5/G1P7gG9/35Yj4emZ+R7w/ePzDrbWfysyfjogfzcwfjIhvRcTX3rjO4YwY\nr9Xz2pVVuu9KsWzh3u5nlN55m1mX2T0xa/zZ933MqrnoNf6o+5qdv2MqxnTMXuKsbHYOZ4//lurx\nAeO9ti5UWTOqxHHM6NiOjXdLDFvEv2UOZtS6cn99xjmfIfjw+NunL8x4fyDY9Sa3/HfRAAAAALBn\nW56VvXkgOIsDQQAAAAB4b8hLRTLz326t/YuZ+RNH/ufWWvv+LQIAAAAAAMY5+ROCmflXW2vf9fhG\nk5daa+2jroH5CUEAAAAAiIhBPyEYEf9jxPs3mmwxEAAAAAAw32sHgr8qM/+VeP8SkZfOecswAAAA\nAFDMd7zyv31nRHxXRPyyI//3Xf1Duz95+OSNzdNlxsPsGE6pHNtdy/79OWMOTOunAfn8ZKhCa8sx\nQ2swMO/X6F2rIbkulOPqvR9hT7vJpF7TV0BZ166LnksjosjaeaIWo54Rp9ZnUB/ezd85R/z9/JXP\nEPzp1tpv7B3AKff4GYJ5yNbe1binzGitHf3pz+kqx3bXMlt0nnMz5sC0fhqQz0+GKrS2HDO0BgPz\nfo3etRqS60I5rt77Efa0m0zqNX0FlHXtuui5NCKKrJ0najHqGXFqfQb14d38nfNUr2x4VvbaTwgC\nAAAAAHfmtQPB3zYsCgAAAABgiJMHgq21/21kIIs4zA7gmUqxvFQ5tns2Iu8zajurn0aOW33OyMWn\nesd3r/P4lEqxnLKHGKtaYf2+1h5iBLZ37dz3LPZehdhOxTDqGXFmDkaNfS9/5+x+Hyc/Q3C2e/wM\nQQAAAAC4hs8QBAAAAACu4kAQAAAAABbiQBAAAAAAFuJAEAAAAAAW4kAQAAAAABayxIFgHvJhdgxP\nMuPhHsags+zXszPnw/De7JjHiFpry2uG5L1zrq8xuz5d8y7fF7Ev3mBwr1Xuowi9BHdt6/Wuw/pZ\neY0ssT7emPNb83vO95fI00t38nfP1Z69t5CttdkxHLXlq5TzkK292+Zat8qM1lp0jWXEGHSW2WKj\n/v/cpSfOh+G92TGPEbXWltcMyXvnXF9jdn265l2+L2JfvMHgXqvcRxF6Ce7a1utdh/Wz8hpZYn28\nMee35vec7y+Rp5fu5O+eqzx7b3lWtsRPCAIAAAAA7zkQBAAAAICFOBAEAAAAgIWsciB4mB3AMyNi\nqXS/XKdnDWf2x+ixe4+3l7m26rozO6Z7ncenVIzpSeXYqru3dftW1eMDrrf1/O6xXlRegyrEdmsM\nI76/Qp5eupdn1nu5j2GWeKkIAAAAAOyZl4oAAAAAAFdxIAgAAAAAC3EgCAAAAAALcSAIAAAAAAtZ\n5kAwMx56fC0LyXzY/JKH7a/56nizertD7iLG5+8109eNTjm+xoy6TM3/4rm/xvT5skcD+6xqH+kb\n2LGRe+WVY1Vd+yKKrH8da3hO7resT4l8HjNonvTu9S75LfS8vYUq680ybxnOjNZanHW9S76WhWS2\n2PjN13nI1t6Ne5v2tN7ukLuI8fl7zfR1o1OOrzGjLlPzv3jurzF9vuzRwD6r2kf6BnZs5F555VhV\n176IIutfxxqek/st61Min8cMmie9e71Lfgs9b2/hlhp4yzAAAAAAcBUHggAAAACwEAeCAAAAALCQ\nlQ4ED52+lnX06IvRvTart3uNW2muzo5l9vjPzYhl5v2vnvtr7CXOSkbmrGp9qsYFvG0Pa1jlNaZC\nbD1jOOfaW45fIZ/HjIqr9zj38Pfm3krczzIvFQEAAACAvfJSEQAAAADgKg4EAQAAAGAhDgQBAAAA\nYCEOBAEAAABgIQ4E2afMh26XPvS79mfGyRgyzrMBu443Km+fjDc6f5fonOuzQtDH042eE5cqPYf2\nYFAvVusjfQMFVdkbX4mj2lp2yrQ1bnIN85AfDhmn2h5SYO6MnBub5b9A3q5VYS16XofZc8Jbhtmn\nzBad+iMP2dq7/r2XGa21GNfjHXMWMS5vn4w3On+X6Jzrs0LQx9ONnhOXKj2H9mBQL1brI30DBVXZ\nG1+Jo9padsq0NW5yDe/2ufEtBebOyLmxWf4L5O1aFdai53W4pibeMgwAAAAAXMWBIAAAAAAsxIEg\nAAAAACzEgSB7ddjptWeMM2q8e7ufW1SITR/PVz3W6vFVd69z7C3V4gHqzMvX4qgS41tmxTk7Px8N\nGmf2fb5UIZ6RMWw1VoW8XatC7IcTvx/OS0UAAAAAoDgvFQEAAAAAruJAEAAAAAAW4kAQAAAAABbi\nQBAAAAAAFuJAEAAAAAAW4kCQz8t8mB3CkzyMjSUz+o/XKb8jcjUkP1tZpI+H1aRQPs81ev24xa7m\nViUD+rJqH+kZGGQH+9/XvpYfzo7hWsPXsgn1vHQfuYvnxrcUmlcz9vkudVgop7fmr8w8KCBba7Nj\nOGrLVylzocwWRXKfh2zt3bhYMqO1Fn3H65TfEbkakp+tLNLHw2pSKJ/nGr1+3GJXc6uSAX1ZtY/0\nDAyyg/2v6jp1juFr2YR6Xlqfu3hufDuQMvNqxvzpUoeFcnpr/srMgytteVbmJwQBAAAAYCEOBAEA\nAABgIQ4EOeYwO4BnRscyYrxeY+w59h4qxdozllH3WSmf59pTzHuKtZKV172qccG9KT/Xvvoz8dHs\nGG5wj8/6t455D8+Nb6kSR8Q+emLWNa/VO5Zbr18pV1P5DEEAAAAAKM5nCAIAAAAAV3EgCAAAAAAL\ncSAIAAAAAAtxIAgAAAAAC3EgCAAAAAALcSA4S+bD9BAO82N4TWY8DB5ws/F65nZ4Xq5VoMefjOr1\nrrUplM+3VF9bjtnNvKpicD9W7Sl9Axsovr+9uv5Uj73CGjUwR1vtFXfx3Pj24PPGfgph8t5+L8/t\n1+ZxRv+VWJP4jGytzY7hqC1fpVxSZovJ95eHbO1d3RxnRmstxsW3YU165nZ4Xq5VoMefjOr1rrUp\nlM+3VF9bjtnNvKpicD9W7Sl9Axsovr+9uv5Uj73CGjUwR1vtFXfx3Pj24NN7d/befi/P7dfmcUb/\nlViT7sCWZ2V+QhAAAAAAFuJAEAAAAAAW4kBwnsPsAKJGDK8ZHd+W4/WMvXrdnlSKc1Qs6v7enmJ9\nsseYZ9rz+rylqnHBnlSfR6/Ft+fYRxkZw1Zj3cNzY+Wxn8yO4V6e268da0b+Z9ecF3yGIAAAAAAU\n5zMEAQAAAICrOBAEAAAAgIU4EAQAAACAhTgQBAAAAICFOBAEAAAAgIWscSCY+TBt6MO8sbeQGQ+T\nBu4y7tb1mJaf10zs95dm9P+QmhTK8XN7XG9KzqG9GNCHVXtK38CZiu5XT65eYwrcV6l1aFI+Nn+u\nHrznlKnhndTv7HHv5Fk9/+5vfNh7jK2U6XXKydba7BiO2vJVypHZYqtrXTr0IVt7N2fsLWRGay3G\nx9+pZlvXY1p+XjOx31+a0f9DalIox8/tcb0pOYf2YkAfVu0pfQNnKrpfPbl6jSlwX6XWoUn52Py5\nevCeU6aGd1K/s8e9k2f1Mv1zhj3Fytu2PCtb4ycEAQAAAICIcCAIAAAAAEtZ5UDwsOjYW5gVf69x\nt75uxfpWimlGLCPGrJTj56rG9Zo9xlyFXgfeUn2uXBtfhfuqEMOTe3leH30fVWp4L/WrNG7/MX79\nNz7qPsZ2qvQ6xazxGYIAAAAAsGM+QxAAAAAAuIoDQQAAAABYiANBAAAAAFiIA0EAAAAAWIgDQQAA\nAABYyF0dCOYhH2bHcInMeJgdw0nZN5c9azU0r53zdK3Rc2FKLxfLvfVnIYN7r1Jv6Rt4ptg+9FKX\ntWPQPZdfawbWfuQeMGqscvVdbF/vmv8LcrlFHLNz+ZZyvU4tBZ4jsrU2O4ajrnmVch6ytXfbvH55\nhMxorUXNeDNbbPQq66OX71iroXntnKdrjZ4LU3q5WO6tPwsZ3HuVekvfwDPF9qGXuqwdg+65/Foz\nsPYj94BRY5Wr72L7etf8X5DLLeKYncu3lOt1arly7bnmrOyUu/oJQQAAAADgdQ4EAQAAAGAhDgQB\nAAAAYCH3diB4mB3AhSrH2zu2ntcfmdeqNRwd14w8VMt9tXjesrd4K1lhfp1SKRaYrfp86BHfqHte\nMbcrjVWtvqvt61X+HrZFHLNz+Zbq8THX9P64q5eKAAAAAMA98lIRAAAAAOAqDgQBAAAAYCEOBAEA\nAABgIQ4EAQAAAGAhd3sgmBkPs2M4KfNhdggREXnoH0e3OhTJYcSYPJ4ce3SfF8r7SzPrcInSa1N1\ng/uvak/pIZZQeL+JmLA+bJiPXa0hE/pgxto/eswyPTBxnk+p88Z5P3m9AXmt+oz0pEyPU9ugNajy\nfLnbtwxnRmstar6lOLNFgTco5yFbe9c3jm51KJLDiDF5PDn26D4vlPeXZtbhEqXXpuoG91/VntJD\nLKHwfhMxYX3YMB+7WkMm9MGMtX/0mGV6YOI8n1LnjfN+8noD8lr1GelJmR6ntkFr0NbzxVuGAQAA\nAICrOBAEAAAAgIU4EAQAAACAhdzzgeBhdgCvqBLbiDh6jVElhxFzYxk9dqW8v1Q5tuf2EmdF+v29\nqnHBlqr3+Z7Xo+q5fW5GrCuMWaUHVnqG7jHmqevt+e94W6keHzWM6pOy/Xi3LxUBAAAAgHvhpSIA\nAAAAwFUcCAIAAADAQroeCGbm356ZfzIzfyYz/0xm/kuP//0LmfnNzPy5zPzJzPzunnEAAAAAAO91\n/QzBzPxSRHyptfanM/OXRcR/ExG/MyJ+V0T8r621P5CZ/3pEfE9r7YdefK/PEAQAAACA2NFnCLbW\nvt1a+9OPv/8/I+LPRsSvjojvj4ivP37Z1+P9IeE2Mh82u9YG8jA3nszoN/7kXM/Mbde8Hh9w7HgX\nmN3j5xpes3sxofeq9pQe4m4U3lMiiq0BF+ZqV+vEws9xs2Io1x+L7PGv5X3TmgzMZ4X5c0y5Hqem\nwWtPtXWnkmFvGc7MXxsRH0XE3xMRf7619j2P/z0j4hee/vzs66879cxsUegnC/OQrb2bF09mtNai\nz/iTcz0zt13zenzAUn393OweP9fwmt2LCb1Xtaf0EHej8J4SUWwNuDBXu1onFn6OmxVDuf5YZI9/\nLe+b1mRgPivMn2PK9Tg1DV57qq07t197Jz8h+OTxnwv/RxHxe1prf/X5/9ben0iOOZUEAAAAgMV9\n0BEROT4AACAASURBVHuAzPxF8f4w8A+31n7s8T9/nJlfaq19OzO/HBE/f+J7H5798cPW2oddgwUA\nAACAAjLzKxHxlR7X7nog+PjPgf9QRPxsa+3ffPY//XhE/EBE/Mjjrz925NujtfbQMz4AAAAAqOjx\nB+M+fPpzZr7b6tq9f0LwH4yIfzYi/rvM/OnH//bDEfH7I+JHM/MHI+JbEfG1Dcc8bHitLcyOp+f4\n93xv1caenevXVI7tub3EWc2MvFWtVdW44FLVe7lSfJfGUin2t8yOdfb4EZ7nVtnjXxtzy3hG3lu1\nXnpSNS5qWWHt3cVcGPZSkUtt+UGJAAAAALBnu3upCAAAAABQgwNBAAAAAFiIA0EAAAAAWIgDQQAA\nAABYiANBAAAAAFjIrg8E85APs2M4R2Y8dLpwn+ueO/yk/HfL5/HBxo11oeX7/94N7r2q/aR/2K2i\n+0fVuf45R/K3q/Vg0We0S4yMsVzvTOyPrfP+Wm6H5N3zUkQU7HFqGzRvll3niz4DHpOttdkxHHXO\nq5TzkK292+Z1yz1lRmstto8zs8VGr5u+avhJ+e+Wz+ODTc3xa5bv/3s3uPeq9pP+YbeK7h9V5/rn\nHMnfrtaDRZ/RLjEyxnK9M7E/ts77a7kdknfPSxFRsMepbdC8WXad75zfc87KzrXrnxAEAAAAAC7j\nQBAAAAAAFrL3A8HD7ADO1CvO2fc/a/yR487O8Wsqx/bcXuKsZnTeqtapalzwlqq9WzWul47FuZfY\nI+bHOnv8c6z8PDcznq3Hfu16I+7T89J7VeOiplH9suo6XymWV+36MwQBAAAAYAU+QxAAAAAAuIoD\nQQAAAABYiANBAAAAAFiIA0EAAAAAWIgDQQAAAABYyF0cCGbGw8TB540dEXkYP/6wfE/O7Skzcn6p\nqXNi7wb3XdV+0kOUVnR/eK7q3D4lMx72kNeImF7/vdX2NSPupdR+MrF3TuW6Z3665t7zUkQU62/2\nqeNcWmKN90xwk2ytzY7hqEtepZwZrbXY5LXLF8tssdErn68a/pCtvRs7/rB8T87tKTNyfqmpc2Lv\nBvdd1X7SQ5RWdH94rurcPiUz3k/54nmNiOn131ttXzPiXkrtJxN751Sue+ana+49L0VEsf5mnzrO\npSXW+AWfCS45K3vLXfyEIAAAAABwHgeCAAAAALCQD2YHsJHDomPPGn/UmLNze0rVuJ7bQ4xVjc5d\n1VpVjQsi9tGfe4jxuT3FOzvW2eNvacS9VMpXxb8z9Ixpr9euMN65qsbFfux9ns6eA6uPf5O7+AxB\nAAAAALhnPkMQAAAAALiKA0EAAAAAWIgDQQAAAABYiANBAAAAAFiIA0EAAAAAWMh+DwQzH2aH8CQP\nY2PJjDHjFcpxxPg8X2NYbe7R4H6r2k96iBKKrf8vVZ2/p7w5ryvle3Ise6vtLUbea4m9pVNvvXVv\nM3rqnp7Vq87JEj3N/eowt3rNpWlzYcLzQtX16Mke16Vsrc2O4ag3X6Wc2WKjVy3fKg/Z2rtxsWRG\nay36j1coxxHj83yNYbW5R4P7rWo/6SFKKLb+v1R1/p7y5ryulO/JseyttrcYea8l9pZOvfXWvc3o\nqXt6Vq86J0v0NPerw9zqNZemzYUJzwtV16Mno2rx5lnZBfb7E4IAAAAAwMUcCAIAAADAQvZ8IHiY\nHcAzo2MZNV6lHEfUi+eYPcRY1b3Oo0tVjYu1VO/D6vG99Fa8le5ndiyzxx9p5L1WyGuvGCrOr3t6\nVq/QO8dUjYv70KO/Zq2Bvdzz2nqt6vF9zn4/QxAAAAAAFuEzBAEAAACAqzgQBAAAAICFOBAEAAAA\ngIU4EAQAAACAhTgQBAAAAICF7PpAMA/5MHS8jKHjRY69v3OMzvklhtdn7yb1V9Ue0j8MU3Btf67q\nHD3lprk7uhaTa7+32vY2Kh+l9pcTPdgrxrt9Vh8wl6vO11L9zBo6zret59nQ+THwmcJ69GoQ82O4\nQbbWZsdw1DmvUs5DtvZum9ctnxdTtNZi2HiR2WKj10lvZXTOLzG8Pns3qb/+//buNUa39qwL+P9K\nXzAFikgkpUJjK7aEGjxwBkOoCNh4AEwUaMIhhMiHWq2IBvCDe+YbaBQJBI0CtSCUcAqhBoEGrWIx\nlENB6IGDobEF2hIBAY2kh9sP+xk6HfYc97PWuu5Zv9+Xd8/M3nP/n/u6rjXPvt9nP6trD+kfVtPw\n2n5e1xm9zGPN7tq12Lj2s9V2aWvtR6ufL5f04FIZ7+1z9RVmueu8tupn9mHBeTv2nK06Hys+p3A9\nujLE6s/tbnJWdlNTv0IQAAAAALgdB4IAAAAAsCOzHwieWm91HTOd6Zyto632q2uduubi/unea93z\nXfQ4eff2c33r9btZaz867ftlWZbKeF9nbI11OvXNeV1zcX8t2XPH/t5rzsd9Xes2OuTqkOHOpn4P\nQQAAAADYA+8hCAAAAADciQNBAAAAANgRB4IAAAAAsCMOBAEAAABgRxwIAgAAAMCOTHMgWJWTFRdb\nb61bqtPG2das0aw26K3OPZPoG46s8fU76T+PFy02n0vUaePaz1bbLtbYtzV+ztxojY16dK3eXHyf\nV9i/rnPsuRKLafS8aan5W2V+dnh92vS61Khvk361uY0aY2yd4ZEu3kq5KmOMHOXWyjdYfORIt3E+\ntjqtMR40zbZmjWa1QW917plE33Bkja/fSf95vGix+VyiThvXfrbadrHGvq3xc+ZGa2zUo2v15uL7\nvML+dZ1jz5VYTKPnTUvN3yrzs8Pr06bXpUZ9m6xfm4tnZY9jmlcIAgAAAACPz4EgAAAAAOyIA0EA\nAAAA2JGZDgRP7+latyXb3LbYo+516Z6PuXTvp+75Lloq7xLfd+u93Xr9Wa2xb13W2KpH1lp36XW6\n1HELXXMxv069NdNzjvu6xm1smcdeHMk0NxUBAAAAgL1yUxEAAAAA4E4cCAIAAADAjjgQBAAAAIAd\ncSAIAAAAADviQPCG6rROts5wE1U52TpDe7V8LWfoF73Cra0wO49jhrm7aPU5vGsNN679jLWdwZr7\nel2vrzILK/fxFn276D4uuH9dZ9xzJR5L8+dNV1lqJledqYX2v9v1aprnkkfWoQ73Ye/dZfiG6rTG\neNAnz2WqMsZI+5ybqhpZuLdm6Be9wq2tMDuPY4a5u2j1ObxrDTeu/Yy1ncGa+3pdr68yCyv38RZ9\nu+g+Lrh/XWfccyUeS/PnTVdZaiZXnamF9r/b9Wqa55LHjtGgDlvtvbsMAwAAAAB34kAQAAAAAHbE\ngSAAAAAA7IgDwZs73TrADc2Sc0tr7NEMdZghI71075nu+R5l7cx3XW/rvd16/ftqzX29bq37+LN5\ni75dcs1Zv/fj6JqLOczcP0tl7/Rzp9v3vas9/Gx7lA45pt97NxUBAAAAgObcVAQAAAAAuBMHggAA\nAACwIw4EAQAAAGBHHAgCAAAAwI60PxCs0zrZOsN1qnKydYap1Do17do7+oUrrTQfj6PrbF3Uatau\nq+uGdZ+lnvfRsff+sp6fahaOvdyK/b3KPi+wfx2vAa16lp4meL50mS4zt+qcrVCvLfZ102vVjp87\nrr7vE19vrtP+LsN1WmM86H234aqMMdI6YytVIyvcQbpr7+gXrrTSfDyOrrN1UatZu66uG9Z9lnre\nR8fe+8t6fqpZOPZyK/b3Kvu8wP51vAa06ll6muD50mW6zNyqc7ZCvbbY102vVTt+7rj6vje73rjL\nMAAAAABwJw4EAQAAAGBHHAgCAAAAwI7McCB4unWAG5ghYydr7VfXunTNRQ8z9McMGZNeOa/LsmXW\nTvu0N8fe+8u+X6car51lzfXWWGuJNTr1x5mOmehl5h7pkt31cc419772Futv/XgX0/6mIlvnAAAA\nAICtuakIAAAAAHAnDgQBAAAAYEccCAIAAADAjjgQBAAAAIAdcSAIAAAAADsy/YFgVU62zjCNqpNV\nlztdd73b0Dc7tfIM3EXnuTlvmhmqOtmy7rPU8767aR2W6us287LRLKw1B4vu88J71+la0aZf6WGC\n507ndZql62w2a/fserbJPjaYi616fdX9brDPl5npWnOVGmNsneGRbnor5aqMMXKUWy7fe1UjR7o9\n9Y2WO60xHqy33m3om51aeQbuovPcnDfNDFU9/CG3Ud1nqed9d9M6LNXXbeZlo2vgWnOw6D4vvHed\nrhVt+pUeJnjudF6nWbrOZrN2z65nm+xjg7nYqtdX3e8G+3yZLa81Nz0ru4npXyEIAAAAANycA0EA\nAAAA2JEntg5wBKdbB5jI2nvVuTads7GcGeo+Q8ZEzlnW56Gb1mGpenXpg61yrLXukuss/Ri69EjS\nKwvbm60fZsp7X6/Je/g7Z4c+u6/9s9Vat9U5241N/x6CAAAAAHDfeQ9BAAAAAOBOHAgCAAAAwI44\nEAQAAACAHXEgCAAAAAA74kAQAAAAAHbEgeBaqk5WW+p0vbVuqyonW2dgQSv2+V10no3zppqTy2q+\nQi/MUs/77nwduvVutzxrXyO3mJHF9nzBvet4LWnXuyyj+fOmizrOymVaz9A9/nvhqvu+8fxsNQ+r\n7XHT69MM16HW158LaoyxdYZHOuatlFuoGlnp8dRpjfGg595VZYyRltk4ghX7/C46z8Z5U83JZTVf\noRdmqed9d74O3Xq3W561r5FbzMhie77g3nW8lrTrXZbR/HnTRR1n5TKtZ+ge/71w1X3feH62mofV\n9rjp9WmG69DSNTrmWZlXCAIAAADAjjgQBAAAAIAdcSC4ntN7utZtdc7G4+te3+75zsySM7k86xqP\nYaZ9us9OL/l1B3vPs8XjX2rNJR9Ltz5Jembi+Gar80x5O2e9z38vvM+Prcv6a6279f5epmuu82bI\nmMR7CAIAAABAe95DEAAAAAC4EweCAAAAALAjix4IVtU3VdVbqupnz33u/avq5VX1C1X1Q1X1fktm\nAAAAAADeZelXCL44yfMufO7Lk7x8jPHsJD98+BgAAAAAWMGiB4JjjB9J8psXPv3pSV5y+PVLknzm\nkhkAAAAAgHfZ4j0EnzrGeMvh129J8tSjfeeqk6N9r7tGON0+w6NU5WTrDDymBv19la69f9FUs3CX\nmh+pT2ap531zsT871+Hez9Kxll6phqvUY6F97NbnU/U2l2v+vOmibnNwlfYz0qz2W9V21TpttOdr\n7+0e9vQyM1yj2l+bGqoxxrILVD0jycvGGB9++Pg3xxh/5NzXf2OM8f6P+HO3v5Vy1ciRbr98V3Va\nYzzYNsOjVGWMkXa5uIUG/X2Vrr1/0VSzcJeaH6lPZqnnfXOxPzvX4d7P0rGWXqmGq9RjoX3s1udT\n9TaXa/686aJuc3CV9jPSrPZb1XbVOm2052vv7R729DIzXKPaX5uO5E5nZZd44hjf5JbeUlUfOMZ4\nc1U9LclbL/uN9e6n4q8YY7xi6XAAAAAAsLWqem6S5y7xvbc4EPy+JF+Q5KsO//3ey37jGONkpUwA\nAAAA0MbhhXGvOPu4qh4c63sv+h6CVfXSJD+a5EOr6o1V9YVJvjLJp1bVLyT55MPHx3J6xO91Vx0y\nPErXXNxc9xp2z3dmlpzJ3bIe6/HNtE/3ycV971yHztku2jLrWmuvsc5Sa3TrpW55uJvZ6jhT3u5Z\nu+XbKs+a6+7hMa69nj6+vRkytrL4ewje1TH/XTQAAAAAzOyYZ2Vb3GUYAAAAANiIA0EAAAAA2BEH\nggAAAACwIw4EAQAAAGBHHAgCAAAAwI7cuwPBOq2TrTOcV5WTrTNwA9Wrby7q1teXmarfj13zW36/\nWWo6o5v2Yeca7HqWjmCr2i5at4X3udM8TNX/e9Vw7q/Sqb+v077/J6t9ck9/Jly+6PprZt09XmVf\nm/Z552tZ+2vX2pr20EU1xtg6wyPd9VbKdVpjPDjOLZiPoSpjjLTJwyWqRo506+4ldOvry0zV78eu\n+S2/3yw1ndFN+7BzDXY9S0ewVW0XrdvC+9xpHqbq/71qOPdX6dTf12nf/5PVPrmnPxMuX3ST+qy5\nx6vsa9M+73wta3/tWtuCPXTXs7JHuXevEAQAAAAALudAEAAAAAB2xIEgAAAAAOzIfTwQPN06wAXd\n8vBo3evUPd+ZWXImx8962+83017N5qZ727kGnbNd1DHrVpmWXHfpx9Spjp2y8Giz1WimvN2zds/3\nKPfxZ0KnNdded421uvZ511xJ72xbmGI/7t1NRQAAAADgvnFTEQAAAADgThwIAgAAAMCOOBAEAAAA\ngB1xIAgAAAAAO3LvDwSrcrJ1ht2rOtk6wlXqtHe+M1P18lo1v2SdWWra1TF6rXMNzNJytqr7KjVd\nsBZd5mWq2bjPzP1ipunxiXqgc/03q/fG9VuzJovucbM56NzryUTXt6U165ukd+/c+7sMV2WMEXcr\n3lLVSOM7RtdpjfGgb74zU/XyWjW/ZJ1ZatrVMXqtcw3M0nK2qvsqNV2wFl3mZarZuM/M/WKm6fGJ\neqBz/Ter98b1W7Mmi+5xszno3OvJRNe3pTXrm+T4veMuwwAAAADAnTgQBAAAAIAdcSAIAAAAADuy\nhwPB060D0L4G3fOdmSVnsl7Wy9aZaa86Osb+da5B52wXzZQ12S7vGusuuUaXOnfJsXez1WGmvLNk\nnSVn0jvrff6Z1GX9PfxsPNMtz0Xd862l4z50zJRkBzcVAQAAAIDZuakIAAAAAHAnDgQBAAAAYEcc\nCAIAAADAjjgQBAAAAIAdcSA4u6qTrSNcpU575ztTlZOtM9zYxjX//Zo2770tLd1PnefKLC2nY91X\nqfcKdeqwt1PNzszM/WKm6eGJeqBz/VvXu0GN16rdanVosKdJ35loPQ9ra9IrSd9+Sfr0jLsMz65q\npPE+1WmN8aBvvjNVGWOkfc4km9f892vavPe2tHQ/dZ4rs7ScjnVfpd4r1KnD3k41OzMz94uZpocn\n6oHO9W9d7wY1Xqt2q9WhwZ4mfWei9TysrUmvJH37JXm8nnGXYQAAAADgThwIAgAAAMCOOBAEAAAA\ngB1xIDi/060DXKN7vjOz5Ey2z3p64b/8QUvvTee975ztopmyJj3zrpHpvqxxnQ4Z9mC2fZ4p7yxZ\nZ8mZ9M4q29XWynDf1rlOlxwXdc21hU570SnLRS2yuakIAAAAADTnpiIAAAAAwJ04EAQAAACAHXEg\nCAAAAAA74kAQAAAAAHbEgSAAAAAA7IgDwatUnWwd4Sp12jvfmaqcbJ3hxjau+a1q2rw/H8eWPdN5\nrszScjrX/aLV+mCFGnba96nmq6vJ5j7p1YPXmaJHJ+qBWWo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+ "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "32.7329766588\n" + ] + } + ], + "source": [ + "plt.rcParams['figure.figsize'] = 22, 12\n", + "plt.scatter(location_list, time_list, c=[\"r\", \"g\", \"b\"], marker= \"|\")\n", + "plt.ylabel(\"Time\")\n", + "plt.xlabel(\"Distance\")\n", + "plt.ylim(times.min(), times.max())\n", + "plt.xlim(locations.min(), locations.max())\n", + "plt.show()\n", + "print(avg_speed + stdev_speed)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.4.3" + } + }, + "nbformat": 4, + "nbformat_minor": 0 +} diff --git a/car.py b/car.py new file mode 100644 index 0000000..5b2dd9e --- /dev/null +++ b/car.py @@ -0,0 +1,12 @@ + +class Car: + + def __init__(self, length=5, driver="basic"): + self.location = 0 + self.length = length + self.next_car = self + self.driver = driver + self.speed = 0 + + def update(self, dt, road_length): + self.location = (self.location + self.speed*dt) % road_length diff --git a/driver.py b/driver.py new file mode 100644 index 0000000..4cb95de --- /dev/null +++ b/driver.py @@ -0,0 +1,54 @@ +import random + + +class Driver: + + def __init__(self, name="basic", desired_speed=120, decel_chance=.1, accel_rate=2, decel_rate=2): + self.desired_speed = desired_speed/3.6 + self.decel_chance = decel_chance + self.accel_rate = accel_rate + self.decel_rate = decel_rate + self.name = name + + def __str__(self): + return self.name + + def update(self, dt, car, road, speed_limit): + if random.random()*dt < self.decel_chance * road.get_decel_ratio(car.location): + car.speed -= self.decel_rate + elif car.speed < min([self.desired_speed, speed_limit]): + car.speed = min((self.desired_speed, car.speed + self.accel_rate*dt)) + front = car.location + car.length/2 + next_back = car.next_car.location - car.next_car.length/2 + if next_back < front: + next_back += road.length + if next_back - front < self.min_spacing(car): + car.speed = min([car.next_car.speed, car.speed]) + return + + def min_spacing(self, car): + return car.speed + + +class Normal_Driver(Driver): + + def __init__(self, name="normal", desired_speed=120, decel_chance=.1, accel_rate=2, decel_rate=2): + super().__init__(name, desired_speed, decel_chance, accel_rate, decel_rate) + + def min_spacing(self, car): + return 20 + + +class Aggressive_Driver(Driver): + + def __init__(self, name="aggressive", desired_speed=140, decel_chance=.05, accel_rate=5, decel_rate=2): + super().__init__(name, desired_speed, decel_chance, accel_rate, decel_rate) + + +class Commercial_Driver(Driver): + + def __init__(self, name="commercial", desired_speed=100, decel_chance=.1, accel_rate=1.5, decel_rate=2): + super().__init__(name, desired_speed, decel_chance, accel_rate, decel_rate) + + def min_spacing(self, car): + return car.speed*2 diff --git a/road.py b/road.py new file mode 100644 index 0000000..15c8a71 --- /dev/null +++ b/road.py @@ -0,0 +1,12 @@ + +class Road: + + def __init__(self, length, deceleration_ratios=[(0, 1)]): + self.length = length * 1000 + self.deceleration_ratios = deceleration_ratios + + def get_decel_ratio(self, location): + for max_location, ratio in self.deceleration_ratios: + if location < max_location: + return ratio + return 1 diff --git a/simulation.py b/simulation.py new file mode 100644 index 0000000..705aa85 --- /dev/null +++ b/simulation.py @@ -0,0 +1,71 @@ +import random +import numpy as np +from road import Road +from car import Car +from driver import Driver + + +class Simulation: + + # car_types example = [[1, Car, 5, "basic"]] + def __init__(self, road, drivers, car_types, speed_limit=200, tick_interval=1): + self.road = road + self.speed_limit = speed_limit / 3.6 + self.drivers = {str(driver): driver for driver in drivers} + num_cars = int(self.road.length * 30 / 1000) + random.shuffle(car_types) + self.car_list = [] + total_cars = 0 + for percent_car in car_types: + percent_car[0] = int(percent_car[0] * num_cars) + total_cars += percent_car[0] + for _ in range(num_cars - total_cars): + car_types[random.randint(0, len(car_types) - 1)][0] += 1 + for car_count, car_class, car_length, car_driver in car_types: + for _ in range(car_count): + self.car_list.append(car_class(car_length, car_driver)) + random.shuffle(self.car_list) + for position, car in enumerate(self.car_list): + car.location = int(position * road.length / total_cars) + car.next_car = self.car_list[(position + 1) % len(self.car_list)] + car.speed = min([self.speed_limit, self.drivers[car.driver].desired_speed]) + self.tick_interval = tick_interval + + def run(self, time=60): + speeds = np.array([self.current_speeds]) + states = np.array([self.current_positions]) + times = np.array([0 for _ in range(len(self.car_list))]) + for i in range(int(time/self.tick_interval)): + self.update() + speeds = np.vstack((speeds, self.current_speeds)) + states = np.vstack((states, self.current_positions)) + times = np.vstack((times, [(i + 1) * self.tick_interval for _ in range(len(self.car_list))])) + return (speeds, states, times) + + def update(self): + # update speeds + for car in self.car_list: + self.drivers[car.driver].update(self.tick_interval, car, self.road, self.speed_limit) + # move cars + for car in self.car_list: + car.update(self.tick_interval, self.road.length) + + @property + def current_positions(self): + return [car.location for car in self.car_list] + + @property + def current_speeds(self): + return [car.speed for car in self.car_list] + +if __name__ == "__main__": + road = Road(1) + drivers = [Driver()] + car_types = [[1, Car, 5, "basic"]] + sim = Simulation(road, drivers, car_types) + speed_results, location_results, time_results = sim.run(300) + print(speed_results) + input("Press Enter to continue") + print(location_results) + input("Press Enter to continue") + print(time_results)