20131120 15224800 1.0 FALSE Ajax_SLRN_RoadClass 002 653499.715000 663138.175000 4853363.412000 4865154.093000 1 Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_UTM_Zone_17N <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.6'><WKT>PROJCS[&quot;NAD_1983_UTM_Zone_17N&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-81.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,26917]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>26917</WKID><LatestWKID>26917</LatestWKID></ProjectedCoordinateSystem> 20190723 12175900 20190723 12175900 50000 5000 ItemDescription Esri ArcGIS 10.6.0.8321 Ajax_SLRN_RoadClass Combining the Road Counts and the Speed Limit to find the Road Class Town of Ajax SLRN Road Classification 1 -79.091280 -78.967898 43.923507 43.815342 Feature Class dataset EPSG 6.13(3.0.1) 2509 Simple FALSE 2509 TRUE FALSE Ajax_SLRN_RoadClass Feature Class 2509 OBJECTID OBJECTID OID 4 10 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape SHAPE Geometry 4 0 0 Feature geometry. Esri Coordinates defining the features. ID ID Double 8 38 8 NAME NAME String 32 0 0 SUFFIX SUFFIX String 15 0 0 DIRECTION DIRECTION String 15 0 0 SFX SFX String 2 0 0 DIR DIR String 2 0 0 ALIAS_1 ALIAS_1 String 32 0 0 ALIAS_2 ALIAS_2 String 32 0 0 ALIAS_SMAR ALIAS_SMAR String 70 0 0 FUNCTION FUNCTION String 10 0 0 JURISDICT JURISDICT String 10 0 0 MUNICIPAL MUNICIPAL String 20 0 0 MUNI_LEFT MUNI_LEFT String 32 0 0 MUNI_RIGHT MUNI_RIGHT String 32 0 0 L_LADD L_LADD Double 8 38 8 L_HADD L_HADD Double 8 38 8 R_LADD R_LADD Double 8 38 8 R_HADD R_HADD Double 8 38 8 L_PARITY L_PARITY String 3 0 0 R_PARITY R_PARITY String 3 0 0 F_NAME F_NAME String 32 0 0 T_NAME T_NAME String 32 0 0 FLOW FLOW Integer 4 10 0 F_NODE F_NODE Double 8 38 8 T_NODE T_NODE Double 8 38 8 ADD_DATE ADD_DATE Date 8 0 0 EDIT_DATE EDIT_DATE Date 8 0 0 EDITOR EDITOR String 2 0 0 EDIT_DOC EDIT_DOC String 3 0 0 BELL_GEOME BELL_GEOME Integer 4 10 0 BELL_ATTRI BELL_ATTRI Integer 4 10 0 BELL_EXCEP BELL_EXCEP Integer 4 10 0 TRANSTYPE TRANSTYPE String 1 0 0 TRAFFIC TRAFFIC String 1 0 0 SCALE SCALE Double 8 38 8 FULL_NAME FULL_NAME String 50 0 0 NAME_MUN NAME_MUN String 60 0 0 REG_RD REG_RD String 25 0 0 REG_RD_NUM REG_RD_NUM String 3 0 0 F_ELEV F_ELEV Integer 4 10 0 T_ELEV T_ELEV Integer 4 10 0 YRFD YRFD String 5 0 0 ID_TEXT ID_TEXT String 10 0 0 INF_REV INF_REV String 6 0 0 MIDBLOCK_D MIDBLOCK_D String 254 0 0 GEOID GEOID String 254 0 0 ROAD_CLASS ROAD_CLASS Double 8 38 8 ID_1 ID_1 Double 8 38 8 COUNT_YEAR COUNT_YEAR String 254 0 0 LATEST_YEA LATEST_YEA String 254 0 0 LATEST_COU LATEST_COU String 254 0 0 LATEST_SPE LATEST_SPE String 254 0 0 COUNT_2013 COUNT_2013 String 254 0 0 COUNT_2012 COUNT_2012 String 254 0 0 COUNT_2011 COUNT_2011 String 254 0 0 COUNT_2010 COUNT_2010 String 254 0 0 COUNT_2009 COUNT_2009 String 254 0 0 COUNT_2008 COUNT_2008 String 254 0 0 COUNT_2007 COUNT_2007 String 254 0 0 COUNT_2006 COUNT_2006 String 254 0 0 COUNT_2005 COUNT_2005 String 254 0 0 VOLUME_2013 VOLUME_2013 String 254 0 0 SP_2013 SP_2013 String 254 0 0 VOLUME_2012 VOLUME_2012 String 254 0 0 SP_2012 SP_2012 String 254 0 0 VOLUME_2011 VOLUME_2011 String 254 0 0 SP_2011 SP_2011 String 254 0 0 VOLUME_2009 VOLUME_2009 String 254 0 0 SP_2009 SP_2009 String 254 0 0 VOLUME_2008 VOLUME_2008 String 254 0 0 SP_2008 SP_2008 String 254 0 0 VOLUME_2007 VOLUME_2007 String 254 0 0 SP_2007 SP_2007 String 254 0 0 VOLUME_2006 VOLUME_2006 String 254 0 0 SP_2006 SP_2006 String 254 0 0 VOLUME_2005 VOLUME_2005 String 254 0 0 SP_2005 SP_2005 String 254 0 0 FOLDER_2012 FOLDER_2012 String 254 0 0 FOLDER_2011 FOLDER_2011 String 254 0 0 FOLDER_2010 FOLDER_2010 String 254 0 0 FOLDER_2009 FOLDER_2009 String 254 0 0 FOLDER_2008 FOLDER_2008 String 254 0 0 FOLDER_2007 FOLDER_2007 String 254 0 0 FOLDER_2006 FOLDER_2006 String 254 0 0 FOLDER_2005 FOLDER_2005 String 254 0 0 Class CLASS SmallInteger 2 5 0 SPEED SPEED Double 8 38 8 ESTIMATED ESTIMATED String 5 0 0 LATEST_COUNT LATEST_COUNT Integer 4 10 0 SHAPE.LEN SHAPE.LEN Double 0 0 0 20190723 /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCACFAMgDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx BhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElK U1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3 uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iii gAooooAKKKKACiiigAooooAKKbJJHDGZJXVEHVmOAPxqr/aCySCK3jeVyCwJBRCPXceo5H3c9aai 3sBcoqpa3Fw9zPDcRqpTBBTpg+5OT35wOhp1wxjubaXJ2FjG3oN3Q/XIA/4FT5dbATmRRIsZPzsC wHqBjP8AMU6qt78iRXH/ADxkDH02n5WJ9gCT+FWqTWlwCiiikAUUUUAFFFFABRRRQAUUUUAFFFFA BRRRQAUUUUAFIzKiFmYKqjJJOABVWZp2vUt1kEUbxlwyrl+CM9eB1HY9+lQtaRRX9u8gMu/K7pTv IcfMCM8LwG+7jt7YpR7gSSalEqhoUknBZVDRj5ckgD5jgHk9iajmOoSS+SJYrcyRMyGMbiGGOpYY I5z93tV+SNJo2jkUMjDBBrJvLsxxOnmZubSQMCUL/Jj7zAY/hZh1GSKuFnshGjHZwRyCTYXkHR5G LsPoT0/CmXf7toLgfwSBW91b5SPpkg/8BqeGMxQpGXaQqoBdjy3uaSeFbi3lgckLIhQlTg4IxxUX 11GVppY4tSTbIgcxlpgx6RjOG9sMcfifTie7iaa0lRMeZtyhPZhyp/MCo9PCCyjKRRxs3+sVFwA4 4b9Rj8Kzf7e0/TNPkEsrutnhG8lDJhc4QkjgZGPTnNWotv3VqhGupjvLQHGYpU5B9COhpllI0lom 87nXMbt6spKk/iRWNoGrf21Hci1kEESSlsEBpNr/ADZz90c7hxuHH4nUto/st7LDudxMPODOcksM K30H3OPc/gTg4txe4F2iiishhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQBVvvkSKf/njIHPp g5VifoGJ/CnXyM1o5RSzoRIqjqxU5x+OMfjU7KroUdQysMEEZBFNlkWJC7bseiqWP5DmqT2AVHWR FdCGVgCCO4o8tN7PtG5lCk+oGcD9TWdYy3LQtbxQiMQMYw8x6LwVwo5Pylc5I5pb21JtS0s8ksm5 dqZ2oxyPk2jqD0+bOAetPls7XENg1K1tLRIZph5kT/Z8Dklt2xc+hbjGeuay9U8U3CaNLqGlW0Fw kUjROXlB8thkHcAcAZ77vT14y/Etzp39rQaalyiQsWWSJFPlxyFGUMzAcEHy+PfJx3y/Cun28N7P o9673CTMUjieIxoHj5Dbhg85bA64ByT27oUIcvtJetvIm/QqX3iuDWIZbfybk2ssqP5jTLnYwI4Q AJ1+Yk/3h1zVvR9lvo95baZPm5ntM7I4yJndeil5OWwHPQDG3g5zVLV9C8Rpe2dsbRWs7NBGjQAo g3HbkNuGWPydRxgdMZrp/D6PYapcafqVonn3i7pLmHbtjfaQIiR0YruYdcAgZPFdNR040/c9bXEr 31IvCNtqtprd1e3tu8MF4drAtkB85XJPzZ+8OQPvAc12N7+7SO4H/LFwzf7p4bPsAc/gK8pju59C mvoYGENws6wiN1+VghDht3TCngjGPnIXqK9Rh1WxvbOOVGMiTxh/KCF2CsM4ZRnHXvXJi6clNT6M qL6F+iqunSPJYx+YHEiZjbecsSpK5PXrjPXvVquFqzsUFFFFIAooooAKKKKACiiigAooooAKKKKA CiiigAooooAqv+61FH/hnTyyT/eXLKB+Bf8AIfjl+Jb+fT/sklvBJJLIzwxsvIR2X5Tt7tkcHHTc O9THUItVR302ZJktW3F4+SzqeUB7ZGRkZ6kVQ8a+XcaFbhdpE08arPtLeUp/jCgEsOgOMYBznium lH95FSQnscpfwxRX1lNeWpNs4CzFmyxbdsmZ/wDaBKnHrg55wJINZ8qe40y4hElrKghaWUYmVv4W PB4BB2qdvQcDpVMwRIiTLKJ4o3WRoOGjhJXayNtPUjYuSVOcjHIFRaNp/wBq1NpG86DLyGaWFWJi +bbkkfMoYbT1xjdwK9Tljy+90MzV0K5uLTWZ9LvvONtdQFZ495cxswG0lNvynkqQBgkg8gV09lbX 0H2UXEYPmOxPnsW8uU/MGAy2cYIGWB6epJ5a9jbYbuwa5hlWZZhGTsjKKw2yN9WzlensOM9nd35u dCtbyKE5uCkkSs5G0n5k3YHUkKMepxmuOvd2aW/5lI5HxB4S1W417z/tarZ3VwgPkQnIbaeWC/MP mPUNgAA4zk10XgqHUbHSpNO1NHEsEhaJnZSWjfkE477t/XnpV/xBLfLp5j0y5jhvWOV3KWJXuQAr HjI/hPpxnNc/4dj8RRa295rTjy2URurMMjftK7VHQBwy/ifwl1J1aFpNaffoO1mdZH+61CaPtMol X3IwrfgAE/M/haqre/uxFcj/AJZOCx/2Dw2fYZ3f8BFWq4n3KCiiipAKKKKACiiigAooooAKKKKA CiiigAooooAKq3ks8fk+UY1RnCvIwJ254GB3ycD2z+VqimnZgcHcwQ6bpRu7G4laS8ZonnUh0V0J G0KuAw3bvvbgAD0zWRpq3D300N3bpvLPYnz2BEJ4YEMOcrlcEHAAA4JFb3iSW3t9SSwlSVLUqJT5 LBCu5fLXZyOVKjH1x9eeg0xVjGqqqtFK7W84Kksi4BycgnHDM2ewH3SM161J3hd9f6RmyJ7ZoLm1 +0W0bHJJQFQ0e0negPBwCHAHPy+5ArQ062l1bVr7ZJCbi7tSwijwsY27QG7kKCE6Bvu+5qG5uNU0 qRN0DxPEPPjlJBwANpAjB5zgc9Tt98l2kyXOn6dql9bQL5n2Z1gmllAfKLuK4+8QTsGR0AzxjnST bjdW/pgQXVze2bqvmPLFLEiO8al1VcAxjk4ABO3qpyzYB5rsTZx2mn2UC2F0TamNCDKVVQBtBDbv lXkH5ey8iuJtLyy+zLLKsqTS4D+fIVjRuRwed4DBT0U5C+9dHJrN5qWnamk11FA6xgw7kdEcMDtA UEOSRg8MR83Ssq0ZaJL1/IEdSs1ppkapM8EczkZWJfmck4HHLH0z3qK5jub2TMMHlKYmTzJTtOSQ VYAZORgnB2kZ7VxWnW017HazyNGIS4a1cybH8wyAFgoGGYEYOcEAgdufR3kSPG91XcQoycZJ6CuK rD2T0d2UtSs9kbhGW7nkkVgQUjJjX9Dnp6k0+ykZ7ZRIcyITG5Pcg4z+PX8asVWX91qLpjiZPMGP 7y4VifwKfkawvdWKLNFFFSAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAZWq6Hp2oN9pu02vE pxKDjb788ZGOpHFcpNHqGhzo1tABbzyJGsmCpaQE7AqlSwG35cHrzzjGe+kjWWNo3GUYFWHqDVSx lunUpMkf7smNn8w7mIOASu3jIwevcda6KdZxVnquwmjjLy9a+hi/fi6mBZmeaVIlRSDyGGcYyOjD 7oBGeubFNZSarNp9zJOYlXzZPKUkSA7VU5J77HPJJw3RRgHrrfw1avrF3dyTytJ5g+UqmFwQybTj IC5wB069iRUz6NbadOhtLSBoZtsbi4ZnCMM7H5znqV7Z+UZ4rqVenHRE2ZwmlaTrF48smkokbJx9 pkJbOByuCcB+gyMAc9MCrFnbW1jbXYvppHMcsa4hkUoEIJBeTPruA5JGwZznB6m705g0E93aG52s T9lQg7wByOTjA6hSzZxwBzWEL63vJo7iK6sp/JmEAuR84G4bsjdgO3ydAPvTZHodVWdS/b+uv9eQ rWNbT9aFrNFbqqwRXDKgMu4iNsKq8YGdwKf3QScjuT09vZxwnzG/eTkfNM3LH/Aew4rzO5aTTL+S 41W0PkyHzeQsJCMWyWK85DOeuehxw3G7/wAJFf6l4ettVspC4WaJLqHZ5QCNtJI4Zt2DjqAN2f4e cK2Hbs4bPqNM7Oa4gtlDTzRxKTgF2Cgn8apXVyzeVPHBLshkDtJINgC9G4PzcAk9McVz3iZXsbmy vbScpCyEZVgQ7ZUgsxPzE9iTxjPNdcrRXdsGXEkMyZHHDKR/hXK4KEVLe5RJRVexdntEDsWkTMbk 92U4J/HGfxqxWTVnYYUUUUgCiiigAooooAKKKKACiiigAooooAKKKKACjAGeOtFFAFK6lS0u4Z3b akgMLepPVfr0YYHJLCkuCb6B4PsTSQuMEzny1I+n3h+VWLuJprV1THmDDJnpuByM+2QKI7qKSyW7 Vv3LRiUHGflIz29qtPRNbiMMTXV5Y2Ny9yXPUpDGUYuFyQc88rvHGOqketUINF+yPNLZGHcLgLbx xRr867kl+Z+Cx2IuMtyRyavAXscV+IoAoSQToGBLE5JXCLkkEBV6joeKzdWmhsY0J1A7Y0SMjzRG Sp5RowDk7d2SWJ6HqeK64XvyxEZWvXkmp6lHcrG8KmAFInQJIwPRipzkEFe4xyCMjFaHgy806yQ6 Z9pieK4jQxjGQWC7HVj0z8owOOCo61z+i3VxPd3kMRXUZlnljZpSQJiSSCAxByArgMoHQ4PUVYs7 e2i1ya4uDI8aSM9xEyuXiBAXnoSNqhenJz16V1zprkdN9ESn1O8Q6dhdPuzbl7Z2MUcmMBQuQQD6 I2PwPpmmeHNUttRtbhLXHl207xptIKlM5QrjouOAPauQTT4/EWq3nlXZjeWWTPmRbhuyduGVyPug rkcjbx2q1oVhqOheKTp8u6OC7jO2WIbwSvzDBPp8wOR1PT5t1csqMORrm97f/Mq52ifutQkTtOvm j6rhW/TZ+tWqppYAXaTMxYx8qzMWYkgg+wHJ4HH8quVxSt0KCiiipAKKKKACiiigAooooAKKKKAC iiigAooooAKKKKACiiopZGSWFQu5XYq3+zwTn9MfjQBw92Li/wDEeoNDPLb7JMNKLkxqsUagMCc8 AnJ7H371hadbQFTOwaYoivJE0ao+3djHHcb1HTGQenFdl4h8Lveyi600pHcM37xJHIjcHqTwfrgY yST1zmta+EbwvCbye2QIBuaFSW4yBtzjBCnG45+gzXqQrwUN/wCkRZ3OC01om8RahbWcUqRb1yka GZvlXAbdtzjAc4Axn16V3+n+FDchLu9cI5fcI/L3EdOTuzzlQenYZzXQ2Oj2GnSPLbW0aTSfflxl 26nk/Uk46c1erGvjHN+5oNR7lOHS7WF4XVHLQjEe6RiF4xwM4H4CrlFFcTbe5QUUUUgCiiigAooo oAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiig D//Z