Basic concepts and definitions used in JunoViewer Web
Lane Configurations vs Lane Segments
Fritz Jooste Administrator Posts: 81
10/18/2015
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Fritz JoosteAdministrator Posts: 81
In many situations, specifically those involving dual carriageways, you may have to work with Lane Configuration data. When you generate a lane specific segment set, for example, you will need to have a defined set of Lane Segments. It is important that you understand the difference between Lane Segments (which are kept within table "tblLanes" in your database) and Lane Configuration Types (which are kept in "tblLaneConfigTypes"). The figure below shows the conceptual difference between lane segments and lane configuration types. In this figure, you can see there are two road configuration types. Type A has two lanes, code "L1" and "R1", while Type B has three lanes: "L1", "L2" and "R1". Although there are only two Lane Configuration Types, there are 5 different lane segments, as shown by the red text in the Lane Segment boxes (i.e. LS1 to LS5). For modelling purposes and for determining the network surface area, for example, we need to have the exact start and end location of each lane segment.
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+TBAKKOfNXMa56Vx9ZhUKybl013fGZGEYK17UoKelk/vynKC09iFJG9n05TojOzol0ddVgGC5KSQKBOPX1G7GsWI7CFotVsXv3eSglEcLF8wzC4Q4mTVqHlHYfWY+Ojqns2nU+qZRECA/Pk5SWHmTixLWZ2pJ9D4aRZNeuC/GVEg/PM6is3MfkyWuzSphpuDR0Jmg4ZPRZDspnSEqFEKCUYv26tcT2KmwvNznP83/Gah/qm+VG2fgsBFZPD0ZPHOX1nT1pioEbCWOXlgCj09Nbk48UkHAUpjWO3kO1PHLXxVWBfsC/rnI6yMz3exHCo6trAs3NC3KWNYRwiUan4nkCJ23N9jxFa+tEDGN+nlLR1jYR286kLxACDh2aRjIp82bTHR3jcRyV7ePB4MCBk+nsrMhTKrq6KnAcL93Xe8RiEXbsWJE38HmeRVdXJa7rpccGh87OCrZtuxDTTGVlpfRIpUrp6SnJ5sHzXNrbJ7B168U5SpiULrHYOBzHypr+pXRpb5/Gjh1vzpt5R6OT/fxLRaAnRrArQcvq6SS3BXNN+tKlq3Mi4baD/jtKX296YR7RSA2oPtZ54RJtr6Mk2pS1PkjDYc/fT6M5OLOPrJ+/eFspJV1N/uAvLWwRZPOWd2GZiZw6o5RBV9eE7PKDYdh0ddXz/PPXF1yWicfHpS0YYJpJWlpm8dxzn+tXnxSuG8S2S7LpmmaK/ftPo61tOrn4ViCljOz9MsrWvn2nZ6UChseWphKsGmtQzwqh1NBUgR8/tp22hpeZVe3mKBWeJ5g40WbKlIyWNPYGpnhc8Morpl/JpBj5g4gQSMfh/B/9D9WlNlgmY/G9DRspl7YoPHndZxCWhSHlYT3VNSMfKcD2JKuaKlhW30FVpKdf1APffG/bkfSArLImctNMkqtwKDzPxLZD9B1gPM8quD6ulGLcuCRz5iSyA23/Ne9MGlLmH/ylVCFZf2DPl834PvSXzV33z8jmxxkV6cEp95pfJrm+B36Z9N/BIrIz+b6ynqfYvFkSj0sMw+9nPc8sUF7+/aXp9PZzJX4/lz9GibSSkusnoRBpB8z+il9/ZXAIskLCvlaev+Bydi4/n6DjIg0jR/ns7ycBGd+WfCfa/PfQ16+jv2y+T4VShfwvCvmVSHqjU4AlPV5tFYyfsZiPXzYnL40MR7T8IYRASokkV6kYPx5mz85fgxsrdHcr1qyxAYtAwBrSdqfjiRIC6XqURhSh+z8K4yOMvhMFRyoSWmKE33M3PW0dGJXlRIJBv92M4DqhOTxSgFAiPRs3SSTLcXOstv7A0rfTz/gNOE6wcJo5znEiPbjkbxN1XQiHXWbOtHPkBybfk3/osoVOHC0kK45QdjD6y+b7lSgFGzd6xGImoZCVdtZ08gbOTBoKwHYoCbkE7/sQ1JSQ/6yF7j9Yfgt9/3CyIfjuQ7gvH6An1o6UkqDh9wmDTUALP1fh+wxVtpBj7sD3z1U4pVRD6sOOeveHUip9LO/YVCgAkkmPtrZ2TDNMeXkZoVAIpd5Y9LdjhVKgpIRA+kdTJAQEJbanaGtrJWwIzLQy7nuAj9w6oTk8QoBpKFKeoFS4DEVP9DvyI7lH/sDlLw3A0PvZI6lno0PWcaC9vYPOTgshyg7TptKr/gq8bD83qNG+aPnMlxVgSbp6emjvaMcMhzFNAymtUdcfDMWeXaQtpWPZdC7wPI9otJNQyCMc9vdQjxpUxpw3lt9hkVHgei7d3d1QWkJpJMIQVxk1o4Cxucg7Mujs7KS7O0AkEiQY9INgDYnj2s8pUIJEIkFPTw+VhjFIfJGRjSnIRiUdSB0q0hS1WC8qs4ZTLHwv6fzHN9I/xcHzyIbN9TxvlAwgaoietYLiH2abeS8jZYuyv989FwM/j7LAtSGgwLYdXNcdJfVBM/IpVj0ajjbdf00/08YL9b9vDKXAtm1SqVQ6RPnhy+PISqzQeDFQX3UEfUEax3WzY8RoRaadaQc7/2ME2b0Fzc2dtLV1U6xKmEjYbN26n0Qisz7nN6YdO5rZufNgUe7ho1DKVyZOrAFEEI3GaWrqoHjLW5KurgSrVu2koeFQEdMd+v1zEdDYAa/3zYuE11tg5Q5ojpLthPe2wpb9hz9Rh9xoBCdWndCMbvw23dhYvDbteYrt25uIRmPpNAU9PUleemkXmzbtxXUHm9ceCSo9aStCUnkIiKX89p3M+CdI6EnBCzthc992L2HXQdiyD9wjUBD6RPE8kfuEEaRUWNx770oefXQTYKWvifTnIL1ZzWi/fa8JIJD+yVReg4aGVi6//Ids2XIAMHEcxa23Ps0VV9zG5z73a/K1a00uJs88s5077/w7uVp5pvyNPr/3v5Z5dwH6vqf29hif+9xvue++Vfz3f/+Z/fs70n/PfD9zH5n+bjCdTmbG0DfNvvL975cv73mS73//z7S1JXPzftvTcP1vQKXz8dhGuPJ2uPFx+I8HoceB362B998FV98B8fwgQhrN6MDkmWd2cvvtz9Dbz/rXc9uvUeBa4TYdi9lcc81dPPjgRsAiHne48cYn+OY3H+GSS37AN7/5yIARRUcOBrzaDJf+AF49BJjQ2gMfuBu+8gB86Q/w3E4gCLta4JIfwHvvhK4UI2oYHQGMqDDducqboL09zp/+tI4DBzq55pplTJlSxVNPvUIy6bB5cxPvec8ZzJhRS0tLlN//fh1KKd773qVUVYWzqTiOh+tmQqV6vPOdS3n11YNs29Z0bB9uGPEMA6EUYpjMan3fSyLh8thj69my5QCXXbaQ006bxrPPbiOZtFm7dg9vetM8li6dQSyW4IEHXqK5uYsrr1zCSSfVANDQcIjGxg4ee+zzOI6D4/hWpKee2szLL+/hrLOms2LFPHbtOsCDD24gHreZPn08F1wwk40b93PgQBTXhXPPncUjj6xn0aLJXHLJAuLxVPZ+V1yxhJqaUp59dgednQmamjr58IfPYcOGfdx77/M0NXXzqU+dz0knje99wL6zk1+8CDNr4TefhY42CAo4Zx4c7PIVEM2YRQCmVEc0QX2jKCFQUiKH4dCwvm06mfR4/PG1bNrUxFveMp+lS2fw3HPbicdTrF27hwsvnMvy5ScTjyd54IHVHDgQ5V3vWsKMGbX4ETLBdT1SKf+zZQk+/emLqa2t5hOf+Cm/+tVLfPGLlxIOBzjaXWbD7thoe2nrgwHr9sI/dsKar8OkaojFfJmf/QMWTISD0bEbnGkQRrCKJdmwYS+maREOh7jppsexbY/vfvdJXnrpdYJBi5tueoyeHocbbniE8eNLMU2D73znsQG1YsOQTJkyDssa/rV8JSVOMDjsP3Y4TFlzM2YigRMM+lEyh8QbaZyS3bsP0taWYPr0Wm688TG6u5P88pcv8MtfrmbixGpuuulxotEYP/zhU7S2xpg5s47/+I+H6Onx9+nPmVPP9OnjueaaO1i/fg+hUCmPPfYKDz20nrPOmsuddz7HmjW7+Z//+Qsnn1zLtm1NNDa209oa50tf+gOeZ/Dkk5v4whd+S01NFXfc8Td27z7I7bc/zcGDPcyaNZFvfvMR9u2L8o1vPERLSw8HD3Zy++1/Y9KkKsaPL2XevAmUl4fJ6eD6xA/gLfPhL1vgqh9AQwuYFkysgpKA9tAb8yikUHhKoIQY1nZtJpOUNTfjBgJ45nDN//w2ffBgDyefPIGbbnqCzs44v/71S9x33wtMmlTN9773OO3tMW699WkOHuxi7tyJfOMbD9HdHafvEJLpekxTUltbjuOk2Lr1AKedNpVgMEAxGo8awtLjUZHtBzyYVwcTK+GKW+Hn/4DyEtj4Gqx9Hd631FdA5NixWCp6A2F6g7yHEWWpyMVj3ryJNDZ20dXVQ2trN/G4zaRJlVx//YUEAiaf/OQv2LbtABs27GP27Do6OmLs2dNGMpkkFAoNmO5wK5dKSiKtrUzYutXXZIdRu/YMg5l//StGKsW2yy5j/+mn4waDiMPNboR8A/lSTJlSQ3V1C3v3ttDZGae7O05ZWZgPfvB0zj57Ls88s5kdO5p5/vldnHnmDBoammlp6aKtrZuSkmpKSoLccsv7+P3v1/Hv//47brzxPTz33E5isRTbt+8lHk+xfXsjqZTDxRfPY8uWRqZOHYeUcPbZM/nwhy/CMDw6Onq49tqL2LTpNV57rYXnn9/JqadOo6HhAC0tXbS2drJ48SQ+9amL2LDhdW677WmmTh3HySfXcOmlC6muLiEzy8rFgQ+eA9Nq4abH4Krb4YnPwazJelaiyaKEwIrHmbLqBaRtF72NKykp37+fGc8+y2vnnsu2C9+MV1dZ1Huk78TUqeMZP76F/ftb6OqK09kZp6wsxHvfu4wVKxbw979vYfv2gzz33A6WLTuJXbsO0NLSTUtLN6Wl4QHSNbn55gfZvfsQt932AaQUFCUWzjEbw12YNA4e/Szc+Sx88XcQT8HWRlgyDUIhSNrQmYSKyLHK1HHHkArPdUg5HtYAO29GnFJhmgaZNfT//M8/cfrpM1ixYj47dhxAKYVpSjzPI5Gw8TyFZUmqqiIsXTqbqqoI11wDwaBBX604EMisrbuAiWHIdCU3gVTRn8EzDMY1NHDWbbcVPe3BOPeWWzg4bx6rP/IROiZPRhZpOcQ0JX75mdx111McOtTNNdesYOXKnXieSke3U0Aqq8FWVEQ49dSTmDlzIm996xImTCgHFN3dcSzL5L3vvZCGhmZWrtxFZWWEkpIQ55+/mHPPnUt5eYDHHtvEV77yByorI1x66UJ27WomEJCAndbTRPZ+hiEpLw9z6qknMXv2ZN761lMBGyEEruuQTDp4Hti2RyJRwPtaAVKCsAAbDnTABYvg5BpY/i1obINZ08GUafedEddsNMcYZRiE2ztY/uPbMVL5gZqKyfwHH2T6X5+m6TNXoS48FzFowKmhYRgZPyaDu+/+K/v3R7n22gv4xz92pE/NlOnInClc148EWlERZuHC6cyfP5FLLjmFiRMryCgKSvXtu+E3v1nFHXc8y89//lEWLJgOxI46z8cMKz1eRKNQHYEb3gc7D8CqnRC0YPsu+OsWeK0Nfv48fPXtxzvHx4zMdurB5lcjqnc0DMn997/Axo37OPvsGcyZM4Ft2xp59dUDpFJOOgR27+RfKcXUqZWceeZ0fvzjv1BdXcKZZ57EjBnL0ukJbNvlM5/5NTU1ZXz5y2/j4Yc38Mc/rqWrK8FnP/sLvv3tK4hELIpp1xaeR6yykqYlSxDpPb3DhZKScQ0NBKNRmhcsYMcll9AzfnzRDrMyTYM//3kzPT02s2bVMnVqNVu2NPHII6tpbe1OKxQZaf/I39LSEO94x2L+93//wZQp1UyZUsV1110ESHbtOsSttz5DaWmI5uYo3/zmFSSTNl/72p/o6IgRDEr+5V/OIpVyaGvrRkrYvLmRcLi3qvadFAoBoVCAyy9fwi9+sZLJk6uZMqWSt799SVYuc25aKGQydWo1X/nKH/nqV9/G7NkTfIGQBS/thnf9Dyya6PtXbG70ZyJvWwzLZsEdT8AdT8O+DvjQz+D7V0Fdb6eqGWMoDyccYv/pZxDo7j6CZcchIgSBnh7G7dxJbNw4dpx/IbEFC5hRhPoWCBj87W9b+fKXf8WMGTVMnlzFK6/s59FHV9PS4rdpyB04Skst3vnOJfzqV/9g8uRxTJ5czqc/fVE6q4Jg0OQHP/gLDz64nquvPoMf/vApbNvhjjue4Z57/s63v30FU6eOp7B1cIRgSLAd+NT9/rLH2dPhsU1gGdARg+9cCafNAFvBnzfADQ/B/znveOd6xHFEZ3+0v7aO2eO8nLM/bBsWLkxw2mlHq60LDh7soqGhFcdxmTChnOnTx7F+/X4ikQDl5UFqa8toaopSX18BwL59HUyZUoUQglde2U8i4TB//gTKykKAIpVyePXVg3R3p1BKMW/eBBobo3R3J5FSYJoGixbVp7X2N57v5uYkN9+8g5KSSmpraygvL8ewLLCsw3/9KPEMgzlPPIEdDrN32TKcYDTJ5z0AACAASURBVBBp24MqFUoIZDzFW//3Fip++0GoGShMt6CrK8H27c2kUg7l5SEWLJjE1q1NuK5HVVWEuroyDh3qpqIiTElJgNdfb6euroxQKMD27Qdoa+th5swaamrKyES52727hQMHosyeXcf48eUAHDjQwa5dh5g0qZrOzhhf//qD/Nd/XcmGDXv5059e5p57PkxXVw8TJ1bR1taN63rU1JTT2NievneYV19toqWlh9mza6msDNPUFGXKlCpisRQtLT1MnTqOrq44W7c2M29eXbqeAM2dsKcdbBcqwzCpErYegJAJiyeDNGBXM7R0+7MY1/OVj1AhZVRAS4LGt93Od5dcQNnECdSNH09ZWRmmaY66CHqaXiTgKNjYWkJtOMXkMgdHDs9Jgp6UVO3Zw9QXXmD3eSuIjp9A/fgEl1zUc5QpC7q7E2zb1kwq5VJaGmTRools29aMbbvZNt3a2kNZWYjSUr9N19aWEQ4H2bHjAIcOdTNzZg21tX6b9jzFrl0ttLXFcF0v2+a6uhKkUi6GIVm0aCKRyNH5VaRSiptuepXu7iD19bVUVlYSCAQGbFNKCEQswVvv+xGVv7kWaiOD3z/hwI6D/jZSgHkToDEK7TGYUwfjyske3d4V9/82q2YIfhVBuOlR/vfhA6w9fwWTKyuprq4mFAqNqtD9plTs7xSIcXP56GWLKQmN+OUPRW1tObW1ldnfweW0006iNxKax5Qpvdquv6PA/3zKKdPS3+uNux8ImCxcOLXPPVwqK0vJXZg7elNiIYRSCHt4zaIA0rbZedFFeIaBdByM1BCXc4akSyrKykKcccaM7O/gMn/+pD4yLhMnVpF5R9OmjcdXUDzmzKnHL+u+MeQVM2bUMmNGXfqa//4mTKhgwoQqADo7Y5x22lTuv/8FXNfjU5+6kLKyIGVlvvd4dXVpOi2vz71dZs+uZ/bs3vtl6kokEmTq1DDgUlYWYtmyGfStJ9RVQF1Vn2f0YPnM7POBCyfXwckTcp5be22OLTJv20DhKQnKQzrDUwck0FVXx8arrkJ4HkYqhfSKMctXlJbmt+l58yb2kXGpr68kv027zJo1gVmzctu0lIJZsybQ269mTm4VOWmO+PYSsmBR7nhBRQm9fVhmrFBQFoI5EUa05aXIZKONKIU3yPgxgpQKyB18MvQf9N0BPg+kHAz2/RMD4XkYR+w/MdSz6hWHL0NvgL8NVNaFrve++/LyIF//+uX09CQJBEwsy+z3HW+Az/3Tzfyu+n3u/zxHWu80mmODkZ6YFLf2Has2PdoYSrn0lT0RnvlIEEgJKcchZXswgI/uCFMqNBrIzJBKSjLLR2Ot8Wo0Gs0IQ6UdNdXgcVpGz4KORqPRaDSa488gbiRaqdBoNJohIgApFa7yf9NutxpNLnr5YywjhL/vmqMPn6vJICDoDmvAM83xQwj/+GfH0+/3WPOGm1ROP3c8nEUD/rbUMUJRlAql/OO/fV9Blb02FhACXLc3Jv2o2TIowOjoht+9CNXhYY/8eczo/wzHuiIKoCOFFe0B6c9kR02d0IxoMv2sfxry8c7Nsce21ZG3JSEw2rvg9y+9gX6uz+mqA/YrQziB1bBgbQNSBPykGL19ginBcxyS9sB+bketVJgm7N5tsnu3TUdHlM7OKMlkclSfGX+k+BGxjVETh0AAnmWxZf4ZmHfvJJZMkEym8ApuWSv0PAP1aP1lB+v5iierhL+9z0wmMVO2f7BauvPwDAMnFMS1rOx2qOHOr1CKjurJiGAAKcQJoatp+iNQyvAH+WNxNwEtLfDHP7pEo51Eox3E4/EB2uyJiVJ+kMtIJIgQVrr8jYH7XAHKCrJl3pmYdzcQi8dJplJDG5sUKCkQrouVTCLtFCiVjigp8CwLJxjEs0zEYc8jUQgp2bdwBpYnUZh4nsTzDEaTB4L0vTRxFbjFOvvD80xcF9w+pj8hXJJJl1jMoLPTpKvLIpGQuG7+ixbCRcrcRuB5ZsEDwKR0EKLvyxe4rkmhQU5KOx0m2kcpgecVklXpdPvKyrRsfxSG4dC3yxhI1jAUpaWSSCSMaZpImelw8mWF8JAyd9vSQGVwdOUFrps5MjxfFinZ9Pa309nTQ1trOx3RGI7j0D8WmpQOIquNK79BDVRe2ecSIBTKk3gq3+wnUOnnUn1kDX/vf14ZeEjhZr+JUHie0a8MRPo/t4+sj6cMPw+CnIBgUniIHFnhp1uovISbLttMkFq/DAo1KylchPSQCEoNSTAQBEJ4XhDX7dsBDlS/DPq/s0J1ZuB666XT7XPFM1CF3sNR1kW/PR59XewrW7y2mxsjZiDZwmVQuLz8d9tbBuoYmtJ9i6igp8egs9Ogs9MikXDHlFIBgkjEpKQkgmX5xy30rQ95pE/AyvZzba10d3Vh2/agcRZ6b9enDvYZRIVIt9rM34eQlhCCEFAWCGTHCD/vo8fkpIY4ORq6UqEgFIpSUpLKiajpOAFSqRChkIUQpYRCAaTsQsr+gZ8Utl2C6wbJdMxCKCwrltdZAdh2Wbojysh6adl8LTOVKk93GL6slC6WFcurcEoJUqnKdIeRkXWwrHierOdJbLsq3cH6soaRwjTjeZqx55l4XimWFSAYDCKEQSAQxzQTeXl13QCpVLhPfRQEg10YRn7QKscJ4Tgh+la8UKizQNmCbUdwnECf51CEw+0FylaQSpXgugYB16UUgRGxGBf08JTXT6kQpFJleeXll0H/spXYdkW/8rIxzXheXj3PwLZLc675ZZssIGth2+V9ykBgmomC5eW6ARy39yA5BVhWAkOm8tqu6wRxsnXRH8JMK543wAA4dgTX618X4/2UEv9dOk4JnmciBBiGSSQSoKKim0AggZSyz3uX2HYJnpcZlP36FQoVqrcGqVQJSonsfUwzgWUl6P9grmti2yU51wKBnoJl6zgBHCd3s/mR1sX+gzf4ddF1e9evhShcF5US2Hakz2Dvt91QqDNPKVFKpsvAr4tK+eUVDkfp7w/kl1ckqxz551IksKxCddEklYrQq8QIAoFYwbbruQFsO4TrhJg4cQMXrbgPkVa0jwVK+UeMx+P+TyrlMYYMwoBvGQ8EJCUlBoGAzIYUHxiF4yjicY/OTpeeHhfXHeLyUVqmcAh2hcjtKg+LYQhCIUl5uUFpqYFpilFh2c4ghcehrhJWvvoJPG/pgHJDUip8S7Ji6bI7WT5ne3o25c9e9uxZzosvfgzDSBIMGphmCcuX/4r6+leycgBSumzdeimbNl2JZcXxPAPTTHLuuT+lqmpPn9mRf3jNunXvZdeuC7CsGK4bIBJp5bzz7iYSac+RVcrghRc+RmPjKWnZINXVDZxzzq1YVjLbEQvhkUpFeO65zxGNTsAwkjhOhMmTV7N06U/THXmvbHf3eP7+98+TSFRgGClsu4Q5c55g0aI/5szkhPBobZ3O889/BrAwTXDdMPPm/ZGZM/+CUn3PrHDYt28pq1Z9AtO002ukJqeeeh+TJq3LmR0J4bJjxyWsW3dNtrykdDjrrNuort6dJ7t+/fvYvv1SAoEePC9AONzO+effRCTSSu9s0u+MX3zxE+zZcwaW1YNpllFff5Dly+/EMOLZ8gKF64ZYufKTtLVNwTQTOE6Y+voN6fLKzNz9MojHq3juuc+QSFQipU0qFWHmzKdZvPiPfdL089rRMY3nn78O17WQ0sO2Qyxc+ACzZz+VV2caGxezevVH0gO4wvMszjjj50yevDZPds+eM1i//pqcOrts2T3U1W3Ne2c7dryJrVvfhhAeSkksK85ZZ/2Cysp9vqwCZQiUYbBx47tpaDgXw7BxXYuy0oOcdfZP/bqYUQqEwnVN1q69lqamxZimjeuGqa/fxXkrfkIgmECK3vJKJMtYufJTtLXNQEobxwkzbcpKlp6RX7Zd0VpW/v1TxGLjkNLFcULMmvUUCxf+kb69mRAuLS2zWLXqOlKpCFJ6OE6AxYt/z8knP92vDFz27l3KmjUfzrl+2mn3MXFi/7rol9fGje9BSifddhOcffatVFe/1s+yodi48Sp27HgLhpHCdQOUlLSwYsX3KC1tyWm7nmeyevVH2LfvDAwjheMEGD9+R7rtdveptx62HWHlyutoaZmTlg1RX7+RM8+8q58C4hGLjecf//gMXV0TMAwbxwkxY8aznHLKbzNPlC2DtrYZPP/8p0mlStLlFWThQr/t5h7r7dLYuITVqz+KgSDlKYTw/H7jGE02/eojCIcFlmUUtGqd6AihME2BaaqCE8xCGJYgZFmIkEWJw6DHdg9w1xzlMWOvPNIXLwVYuAQDYJpqcCvLCESIdJ33fxtQbmiWinRlPnRwPvsjFVnPZyEUra0nI6WbNudIDMOgs3MehhHu14kpksmT0opHAKUEUgo6OhbhOBP6DTxg2/VZWc8zMYwS2tpOpaenp5+WKfG88YRCEsMIpE2ylbS2LsUwUllZIcBxgghRRjBoIqV/Ep/r1nDo0Jk5HZMQikSiAtMMp2VBSkkyOZlDh87Mub+Uiq6uOiwrgFL+yX5KubS3T2Pv3uU5sr4CMjPdGDIzf4+Wltl55mEhFB0dU7Ozu0yH0ty8gJ6e8TnlBYru7rq02dsPKeu6Fo2NSwgGO8mtAIJ4vBLDcBBCYJogZQXR6Bl55eW6FqZZRUlJEMOQOI6FEHV0dp6ZHoz7vttSgsEypAwhpUUgEESpKUSjZ/YrA0VPz3jCYX+GKqXCcSxcdwYdHctznktKRSIxjXA4lO1APM8gkZhDNGr2meX76aZSM4lE/Jl3xh8rHl9INFrer34pHGcG4XAYKX2lwjAksdgpSDkJzxMgBeH2Dsp27aVu5wFky0aEcPE8g1Cok3AUgiGrj9KqcF2D+t17CXf4So7nWZTtOoDbDLYpe9+DENi2omrHFgI9B5HSxXUDlG7fTXKnREiytkYhBV3jaki5AZRyUcpfBujsrGfv3mXkdmyK7u769Dqzb1qV0qWtbRqWtbRfPVC0tZ2c/ZypG4cOzcZ1A/3amKK9fVq2jfhpS5qbF9LdXZNXv7q66rNWHCFcXNeiqWkJwWA0R1Ypg1isKpuulC6pVCn79p3az7KicJwwqVRZNl0pHeLxKvbuXdrPYqRIJivSbd2/bhgu3d0T8spLCL/tKtVbXkI4dHRMTcvmlkFH+3RQEisQp/nQXP761NdzSm+4UQpKSjzKytw+A+PoGpiOFiEgGjWIxyVC+Ja/zCGTBZGSYGcn5Tt3olKOP1k4wp1uSkoQMmuxEEr5/hVeph8fQr4BLxKibeYsvFAQichdXhkFGAKiCUGLrMdTKTIn0vbniA4UO7RzC7OqRc7yh5QOUqbwvN4ycpxgziwymynD7mcuFWnZ/HVZ00zlmKJ903Ko32BK2syczDGtKiVxnGBBWdNM5CgQnmfgusG8SukvzeSalz3PxHECeWkK4REI9DWXKlw3gOflF7oQLpaVyMmb6xYuLyn7lxfpMsgvL8Owc5ZFlBK4bn55+bLJdNlmzOl+eeWjMM1Un/JS2fIqJGtZSfqXl68s5SKElzNo+AqfNcCat4tp5prj/bIt5COQL+vXg8Lr/vll2yvrBEMs/d97WJB6FTlrPHj9TfdGwY6sV2HspVBeAYR0c/1VlMzNq5RwsJPd+y2evu7jBJWbXY/1PCu9xNC/DDJl2zvo+PWrUNk6Bcr2SOpisKDvgWHktl2/nReqiyotm992C/lUmGayX10002XQv50rDCORMxPslaWfrJunwAzUdmVadndniIQjmVeVTH/j2OA4MG9ekjPOyPQ1o2tQKg6K554z2LrVIBQykDLjn1C4LOxgkAV/fIDT970E8yflteNjhpSoZ1/lkcv/meaFCwl4Hobh+1iNliUQKaAnpWhya7nyzWcwf0pZQbkjctQ0zSSWpcDrO9uAUEgRDmdmrgqlegesXAo1P/sIZAc632OgdIci6wADHcJVSLbQuj90dQn89Xb/X1+BKpRflde5GkZygLXB/OcqtDZeSNY3E+avC/fK9p25e2kF6nDp+pYVKYcim1E4D9+IlWKQ8sonXzktfH8gb9AcsqypsNxu5PUXwOVn0r+OiAEDH+WnKwfs/Pu9s3S6fTIBWxpQ1/6eaHsbZQGLcCSSViwGK9vcd2YYqSGX15HXxaHIHq4u9sntEdVFtwh1sX9eB267IrvIDgjlO20eQ0OBP/Z4OX5TY5FYrIvOToUQEUKhEEIMvOtOSg8z0YP4yNlw7cUU6r+PDUHEx+8k1nKIru4Oyi0LwwilrS2jQ6nIWIU4zLLNG9hS2t8xTDB9us2ppybH5N5p8Lc5PfSQmV5rNtIOeb0rb0NjqLLDkeZokz0W91f+eOlkFMnhP3E2HxdSNsmUTVtbG7KsFNOyMIyMdeB4v4cjkT3e9x9O2WPHWO1je5F0dXXT0ZEiEBAEAvnWp74o0o6WdmbyOMRTnIcDT9HR2Uk0GiVYWoplWaPq6POhUoTgV33XKI8+tdGIUh7RaBQpg0QiYQKBwKjRPjUjHYHruvTEYpQFrDEV/2WkoUgvt0qF68iRqnec8KRSKeLxOI7j4Hn+jrXR0t8mEgni8Th2KJS3ff9E4aiVirTPypjGdT3a2toJBkswzd4gWKOlomuKgYW/tbFPTA0yzrd2+m8mYKQ/D9HyIXyl1XNdPKW0UnGcEYAhjtTVr5gUq7PNWLuK5WPQt74r/KXiTCll4pnYFCP/nufhul5WoTgcR3bHzNbxPjF3ss/l4JdXXz8el4GX5fPxPDeb79GoVPhOsWrQHTRFOvtjLHd0As9T6V0pRsEAUpoTHE/Bo+thVg3MnQAo6ErCw2ugOwVvmQuTq2HVDtiwH2bXwEWzfXfqIZFezdf1akQw+t+CwaZN+zFNydy5Ezj6/lvQ1ZXg4YfX0N4eJxwOcNll85gwoZJk0mHt2p00NLTyzncuorS0NzbM0TA8fayAv2yGcSVw2hRAQcL22/ahHrhwFswYBw+tgQOdfrs/bTKcczJDLkM1XHkffpQCKRSuO3iY7hG2oFPsQ1ckvpZpFUjbLHDtjeFrbu6QNWfNiYQAV8F//gkeXAeY/sTlc7+G+1dBwyF4ZAPsboYH1sK2/fBPt8Ov1zDQlizN6MQzjFGyBmzw5JOb+dvfttHbB0r8PrFvv2gUuCbTn/uGmDbYvbuF66+/nx07mnj00fVcc81ddHYm+ctfNnPzzY9z/fX309bWw4gbcrL4btJ873H42fOACUrCV/8Et/0VGtvgD2uhPQHfehC2NUI0Bj0JxtIuHAGgBo8lO2JOKbVtj23b9jNnzgQCgWIM9pLduw+ydWsTyaTDzJm1LF7sa5+xWIo1a3ZSW1vG3Ln1FMPSopWJMU7QTAfHF9CTgr9th49fCF94B5AEx4bvv9d3GHviFVi/B95/zvHOtaYIeKbfjVbu2UPP+PEkKipyQsIfNUph2JkltOJgWb5TuY+ksbGdu+/+B3v3tvP+9y/nggtm85OfPEMiYfPKK/t53/vO5OKLF7J9+z5++cuXSKVsPvCBs1iwYFImi5SXh/jiFy+lqyvJOed8h4aGg7z5zUsIhwOsXv1aUZeDh21p2TLASCs+nuu344vmwQ3/BDjQ0gGRIHziAph/Ev47GWgH0thkhCgVgq4umxtueJTbb/9namoi+CayzBkAmXVpQa51wekjB73rXgow+OEPn+ahhzZw/vlzWLVqJzfc8E4uv3wJN930BPfeu5J3vOMUbr31Wo6FR7BnGEh3LMXpH6soKAvCJy+Em5+AxzfC994Dp00FDPj7FmjphovncyIY0sciQqTPPxICJaDqtdeY/eSTTFmzhoYVK+iurU0HRioCSqGkZP/ppxOtHF+cNAvQ2trDRRctoL29h7vuepZly07ikUc2cOmli7n66uXcffezLFlyEjfe+DjXXns2iYTDd77zGPfe+2Esy/chi8dtbrrpcV5/vZW3vGUBM2fWEgz6xzEUe9I1/LYBBYYBn7wAvvYnWLkTbnw3nDoVAib8yz1QHoJ/uwTeupji+aaMfkaIUpEJTGVkrYdKCZ59dguPP76JuroKrrvuIl5//RAvvLCbxsYODENy3XUXEQ4HePTR9bz0UgNz507g6quXktlxl0o5XHjhHO655/Nce+13uf/+l3j3u5fxb/92KWvW7HkD4VqPHM80EUBZczPdNTW4gcAxWRsXmdmNtqC8YY645NIxSpDAv70N3rQQvvIH+OjPYOWX4FAHXPcL+NAKeMtCjs82Vc3RIFCYQuF4/hk38x59jIW//R1m0o9/MPeRR4blvt11dbRX1xY1zUyUXhAEgxYrV24iGo0Tj6dIJh0mTariiiuWUF4e5uc/f5aGhkPs2nWIlSt3kkw6VFRESKXstFJBOiibx4YN+/jCF95CSYk/OZTS79Qz/xaDIR0I9kbJtGMUfOQiOHcOfPsR+PC98PyX4OHrIZqAbz4I//57uGAOhDMOnpoRo1TkIkgkkhw6FONd7zqTn/70GZ58chMVFWHuuONZvvWtq/jd717kiSc2U1tbzqOPbuTTn76MH/3oUaqqIrz1racAvpKyYcM+7rrrETZvbuQzn7kYwxCUl2csIcOHEgJlmlS99hpznniCmu3b2XL55dglJcWbxQx4c4UTCtE8fz6eZWnF4ljgKuixoSMFyW5oOAgLTobLFsOP/wqtPX6nNHMC/NvbfQfOsmL7EGmOGQoUgteXLwfX4+Snn6bswAGaFi/2lz+K2calJFZdXdQlFc9T2LZHMulhmoKbb36C886by2WXnco3v/lA1sPfcVxs2yWVciktDVFXV86ll57C1KnjSSYTlJT4fkGu62EYks9//hIWL57Ct7/9GFdeeTqVleV0dKRwHI+OjiR1dR7mCB11AN/5MmZDexLcJLzaBAtOgnedBit3QWMnhCyYMA5KAlAR7l0uGQMYElzXJWkPXL9H3OvNWCqCwQDl5WFWrdpGa2sXnZ1xysvDvOlN87joolN5/fVm9uxp47XX2jh4sIsnnniZrq5k2hkocx6DoLs7yeOPr8d1Fe985xL8NTAj517FRgFmKsUp99/PrKeewkjPYpbfccfw3LAA8aoqHv/Od0hUVhZ3fVdTmJNr4MlNsO51f+ayoxn2PO6HW/3va2B/O7zeAlPHwXU/hVl18O0rwBo7Tl4nGkIpYuPGs+nKK9l93nmctHIle5cuJTppUtGXOqXrIlPFS7O6OsL997/A6tUNrFgxiyuuOJUHHljH2rUNVFREMAxJdXUJhiGRUjBuXCl1daVcffVSvvOdRwgEDC67bCEf+MDZgCIcDnDSSeNJJGyuuOJU7rtvFRs37qezcye33fY048aV8sUv/o6bbrqSBQsmM2KXC6bXwOoG+Jc74MyToL0Hvv2Yr2x8+0qoKYMbHoT9HYDylzYDFiP2eYqIwjfCep6L4w77ltLi4O/d9XdsbNu2h+9//3F+8pOPEY0mcF0vHRPD30Ns2y6O41FXV860aTW8+93n8o53LGXcOAvfr8IkmXRYsmQKP/7xBzn99P/kjjue5YtffDuplH8crm0rbBusIjvhC8CzLPYuXUooGmXy6tUYts2hOXOyTl3DiVCKWFUVakRPCU4UFFgS7vwgxF1wPSgP+A5frXEoD0IkAHYKXvg6OJ6vaAQNrVCcAAjPw0ilSFRWsuXyyzFsGysx0h33bK6+eilvectiHMcjHDaprg6zbNlMLEsSCpkEAoKvfe0dhMP+kvR3v3s1kYjJVVedwcUXLyCZdKmri5AZTGfPruXhhz9LaamBYUgeffRzGIZf1VesmJM+vNGjqirAyByAlf9z8z9BzPHbcakFYRNa4hCxoCwEePCja6AtAdVhCBiMzOcZZgbpukbMqGOaBt3dSb74xd9SURHmfe9bxty5E/jZz/7Ghg17WLRoYrrCBwBFMGhiWTaXXXYKzz67lW9963cEgwb/9/9eQlVVBIDKyjCe5xKJhPnoR8/lySc386EPncdXv/pHdu1qZt++Nv7rvx7gP/7jbUdltRjo9IPmBQs4OH8+Ndu2MXHdOrZefjnJsrLhX/5II133mN3rROSIqkSpBaWZkMFpLX5CCdlAOpaE6r7NTaHXYEchmVMxyT1BR3gexqhpa4pg0KCuriT7O3jU1IRzZEpKTDJ1tLQ04zPgUlWVOfCt93mlhIqKjIyitLS3rmeWSHxGeBmVmJDNb/ot1/VpxwAB2adtj0GF4jCMEKXCr4R33fVBotEEQsC0aZXceONV7NsX5TOfuZhw2PcwXrRoEpDg3e8+Hc9TlJeHufXW9/P66+2Ul4eory/Dr7geX/rSZTiOByT51Kcu5n3vO4vKygBf+crb+cpX3o5SEAjIo14GGWhoMGwbhODgvHkcmjsX6TgYztCjr2lGE4WUhP6/j/AOVXNYBGBKhe2lFYojPeJnxDCU+qoG+VzooQeTHy0Uerb+7VZPCAZjhCgVvvZfX19GfX15+ooHCGbPrqHvSwyFfO3Zj8wG4BIKGcyZU0v/l11REUp/UgSDkokTywDFtGmV9M4xhrmCZPeY9/6u0WhGL3rRSjNWMYQfJt12Ro2jZv8BfjBteiizwMG+qwd3jUaj0WiGipDgue6gSsXY2Quj0Wg0Go1mWCmKpSLXJ2GsGQdFUYO6aEYYAQsIUfxzaYaCCaHA4cU0YwaZnQZmAjSNNeQb62+z7fh4lVkAzLERl+aolQohIJkUdHSA47jprZ9qzLgOCAGtrTZCyPTvY7Ghn4AIfP+Xe56DF17z98YVROX2U6qI719IONiOsB2/Xum6NSKQwv+xPYFlHLuOTko4dEiyejX09MSIxeLYtj2mzh0SQrB3b4Jg0HfcH0p/K6SAX78Ir7aA53BcFAtpwKqdiCmnjv4xQg3eFR2RUuFHWfPwvN4UpYQdOySbNina26O0t3eQSCTwRs32qqPHD1H7/9s78+iqynP/f/Zw5pPhhAyEBIRgAmGeZC6DmMogpFqzUgAAG7BJREFUaqkWV7X8rlfvculqSyssvFUr3l5btWvZltVrpXoduqrV+lOkUidQFBfIDyJESkAEJIQEyEDGk5OcYQ+/P/Y5ISCZIJKT8H7WyuLkkL33e85+32d/3+d9nue1t9bAj31Pfb7zXMFIoRBfzZ3L8a+O4C9uJBAIEI5EME0DU1aQNA2n3489EEDWtWh+oYTmdBBKSCTichHd5/jS2iGp1I+fiE06awpF3+o9jNZ7aqLpBqpkchmq/bdSVSVRUiJRVxeivr7xirO1AA6HSkKCBzVahydmby+EHAxSMm0qVcVe/AcbCTQFCYcj0TLfl1mMpY6gcmA6tmhb++JzwsBEljv+5rouKkwTWZJQFAXjvC9BkiRk2Y7D4cHrNbHbXVdUR5ckCYfDjsvlwm63o6oqsiz3qc4iOBcFaMzJIZCdTV1dHY2NjYRCodZZoQnnynXzXPkeq2J6qbNISZJQgWRVxe3xYLfbURQFRbkyXKnxhiJbe1lIUVuoKCbSZXw2WXbFgaIk4vHYo56KK8fWAkiSjN1ux+12t46Hjmxtc1YW1RkZ1NfX09DQQCgUxDB6fpOzzpAlCSfgdbtxOByoqtpp2+MNWTJwOWwdfnddEhWWvZSYOGky0/JS0M+T5qZpEolECIVCBINBdF2/olxyAIqiYLdbwsJmsyHLlysGVjxcvi0MwyAUDNHU1ESgufnCruZvGASzQxkvSQbdnSFJkoTdbsfj8eCJCovL178EbVFkidIzLTTuO8PcmZkkONVvd3OrC6DrOpqmEYlE0DssBy7TNha/v5hkS9DJ2Gw2VLVzgW0YBuFQmEAgQFMgQCQcvuz3DKJ7bKsKTqeLhIQEXC4niqKeZ0Liu5iWLIPxRQ1aB/WWurH8YZLs8+FLGdDuX1hLI7GYin7Sg7tIzDNx+WeQ5bRWehNpsj2Orhtomomu2zGMSw1BMtH1VMDTOtvtKoqioKoqqqr2qZlNf6RRb8bpDJCalobH3nvirmM7KwG1SFI9pin1O3tsxVOEuzwWDMNA0ww0zYZh9N5ETJYlZFlGVUMoSqRN+03AhWlmxn3olDchhNaBmO2WlexYFdNLD9UrmRDwEdCEyA7+dlAU68fiUke7ht8/G00bjs2mtLo/u4IQEvGDjIksmYRCETx2R+cHfEt0Hqj4JbAXSerhzY36ILIMdrv107tZM+2JOx1Ny6SpqQC7XcVms2Hr6U2peghD73i5rUeLXwnD1xso0R8hKuIflfr6BoLBGnw+LwkJCSL2pg+iKBKKIhHuoABQfCBz1j4I4huJYDDCqVOnSUpKIDk5CUVR4nOZU+rY8xWHLRZ0FbM3IpgFl4DEmTM1VFScxu/3o2lav3NLXxFEb1m8S0HRtfoSEqFQkFOnTlJXV0coFIrbZAe3Q0HXDfT2Mm4uc3sEPYgwGn2PQCCA3+8nHA63xh8JBD2NeenZzILLikQkotPY2EhLS0vrhCMe7YMSS29vp2lCVFwR2AB79Ofibnn7RkqNntdG9+ZuMrpuEono0WN7siu2PZd6keeWop9Xwjgn28lOW3eylZrWQW2s84hF7l+JGVKCeETmrG24+NVw44LFOtqeuztLMBIgEwxq0XP05Cp920qkl3JuudUeWuP4mzY2ZjO7XgzSQNM0DEOPW0EBnfvGL/puhUIhHI7eC1ISgCx3ZaBKbNq0l6+/rsbhUFi2bDIZGYl0bxtuG2++uQtZlli27BrOZpsofP75MbZvP4rP52LJknGkpnrpvNspfP11JQ899BYFBaNISnIxffpwsrN9xHanvdhlHdOExsYWkpIcGIbJ66//P+bMyWXQoNi5u4JEfX0Lb71VxIgRA6moaGDZsimYpsbf//4ZkycPITc3E103+OUvNzJvXj4ffljME098P1pCOD6NgaBnsDJ3QNPj9z5LUlc8FTJHj1bx7rv7MQyDyZOH8p3v5HE2rbErfVmistLPM898wn/+50KcTlv0GIW6uibeequIQCDE9Ok5XHPN0Oj/dXxeXYcnn3yH8vI6br55IpIEBQVjou26tPHV3BxGUSQcDgd79pRQXe1n4cKxdM/uqGzY8DmZmckcPHiS739/Cp98so/S0lpcLhvLlk0iNdXHP/6xm8rKJmpq/CxcOI5Jk4bQWcro+QKkL8ZbdUNUSCiqDX9jI7t27+b06dPMmTMnbiNUrwzCZGQYKEp7HU9C0yReeGEH8+aNoLq6iV/84k2eeeZHOBz2aNGcWAS5Bqjouh7NSIh1fgXTlKmvb0bTYgMPQGXTpiJeemkH3/veZJqaWjh2rJrUVB9glWu3zhObbcjR96zXmzbtY8aMq/nBD2bwyScHou8raJoZjWqP7XMgcXbAx16rgFWNTpaV6L9Wu2prW3jwwTd47LFbGDDAicfjaL0mSBdolxL9zDJtxdIrr+xC03T+8pfP+I//mAvIlJbW8uijb3PzzRN54onbKCurpLq6ibKyWlwuO7KstjlHO3dEslLKYgWs4jIQS3AO5eXlnDlzhtGjR1u1ERQZm6y0VtKsrq7m+PHjTJgwIa7sYecPJIWdO7/ms8++ZunSSfz61++wdq3CjBm5gImm6dGqlbGHueW1s8aaDigYhiUCSktr0FtFlkxtbYCf/vRvjBs3mKwsH4cOVTBhwmBsNgeapkXPG6vZomCaRnSrA5OSkjPs33+SP/zhdior66ivb45eXyESiY1VIzp2YnFlsdeWl8Ma01abz455ieef/5isLB833zwNp9OG02mPHqO2+bzntysmNgxApqSkik2b9jF7di7l5XUkJXl47rnt3HzzREpLa3jggTdYv/4u/vWvk2RmJnP8eE10stXZpCZmG87ah94mHA7zxRdfMHToUNLT0wGrVktH0XxdEhWSBKpksO3jj9jhP05tXT2yLHPkyJEearqgu5imlR61cmUmiYntdz7TNElOdnHbbTNwuRSWL3+GUCjCnj2lvPDCdoLBCHfdNZt580bxxhu7eP/9A/h8Hh56aAlut50nn/wnlZV+amubuP760dGzSoRCEV5+eSdr1ixk2rRRQAQw+PLLMv74x600NDRz440TWb78Gtav30pdXQtfflnB0qXjmDMnjw0b9mKzqUyePITKygZkWWLnzsO89lohp083MHLkQP7932eyYUMR999/Pfv2lbJ3bxlLloxl/fpPqK9vYfHicdjtKq++uguAX/xiCZ98coj33y8GJB5+eAmnT9cjyxIlJVX8/vdbqK0NUFAwihUrZvP889s4c8bPwYMVLFgwkhUrZiFJOmCSnOxm0KAkQGL48DQAtmw5yL33zqW4+BR+fxPV1Y386Eczqa1tYtGi0XRuNBQOHvyS4uIi9u/PICUlBYfD8Q3jH6dez35Ne89fSZJoaGigqqqKzwsLmTptGqmZVyHLcPhYOYeKjrNn717C4TDFxcUoitKu2/rbvq1tP0IkAlOnRhg3rmORI8sSc+bkcvvtiygqOsbhw5WMGTOE3/72n5SW1jBy5EBWr17EiRPVPPvsp1RUNHLnnTOZP38smzd/wcsv72LAAA/hsNZmoy+VjRuLyMhIYs2am7AEiEEwGOKPf3yfffvKSE31snbtTRw+fJr33ttPbW0zsizx8MNL2bChkMLC47z66k4mThxMY2OQlpYwv/3tu5w+3UBVlZ9HH72R3btLmDFjOKNGZfK7333AHXfM4IMPivnqqwrcbgcrVszgxRd3cORIFTfdNIGpU4fx2mu7UVUFt9uOz+eKTpZg/fotFBaW4vO5Wbv2Rk6erOXNN/fS2BgkEjH45S+XkJbmjX63OtOn55CW5mXYsAEYhkFKipulSydTVdXAunXvEwgEyM/PJC8vgyFDUhgyZAAdTzisfrZ1axFpaamkpg7A6/W2CovL2Xda35MkNE2jrKwMh8PBxIkTmThxInWBMKZpeeoutEda9zwVdjcutxupvgFFUUhISLjoDyG4dGw2s9PZiCxLNDWF+M1v/kljYzO33DIZXTf5/e+3sHr1IjRN53e/e5+8vIGkpflYs+Ymnn76fT7++CsURebUqXpWrbqJxx9/E0076xZtaGhG101yczOAIGAQDps88cS7LFt2Dbm5A3n44TeYMmUIu3cfJz8/m1WrFvPYY2+xYMEo5s/PZ+DABCZNGsZf/rKDyZNzePHFHfz85wt5550vUFXLs1BcfBKQqKlp5siRKsJhnffeO8Djj9/KhAnZHDhwkpUrF7Fx425ef30Xd9wxmw0b9rBy5XfJyEhg9+7jzJ07knXrtjBv3ijGj7+Khx9+nUmThrJnTykDByazZs0SHn30TQoKRjFoUDKgc/vt0wGT+fPzAYNQqIU9e0p57LHvs379x3z66VcsWTKJcwuPdT4Tqa2tpbS0mmCwicrKSux2e590cV5JxAqPHTl6lNq6WmbNux5F8nBo/25Ol3yJYZqoqsqhQ4d6u6mtBIMGOTmpwAA66peqKrNp078oL2+krq6ZG2+czJ/+tAWXy87atct56qmNbNy4lzFjhnDbbTMpL6/hr3/dyejR2Tz77DZWrVpMeXkNr72265x+fOxYFVOmXIU1PiKAjQ0b9lBScoa1a5fz179+zPPPf8qoUVns2HGUdev+D//7vx+xeXMxBQVj+fzzUu64YzabN++jqqoJv38vHo+T+++fxZo1rzF0aBovvbSDUaMyAYkDB04SCuns2lVCUpKbO++cTyDgp6BgHAUF8NRT73DddaMoKBhFRkYi3/nOWN5+eyenT/vZvLmY/ftP8sgjP+CNN7bzpz99zNy5I/n008M8/fSdvPLKdt5++wvuumseECEvL528vIHEPCORiM6ZM0387Gcvc/JkPd/9bj5JSR5uvfUawGD8+LZe0PaQCAZDnDhxAr+/gZqaM7hcrrjwVjgcDhobG/n00220NAdQMidimufHmp2ly2W6NVNi5ozpTB52Hfv27ePUqVNce+21ceXuu9IwzTAu19tAgPaDEU1UVSE/fxC7dh3F5/NQWlqLx2Nj2rSrAYPnnttGZaWfEydq2L79K06cqCEc1jl6tIJ580aSm5vNtdeOoKXl7MBQVZlgMEIoFCG2vFFT04DfH2LRotHY7R7y8jI4erQSn8/DokWjGT16IA6HSnNziORkN6mpXtxuR9TVZ7n9amr8BIPWwJUkCZvNqsHhcKjYbNYSytixWcydm4skQWWln61bv+Tw4Ury8jJISHDi9ToZPDgJu13GZlOoq2umsrKRpUvH4HIlMWZMNocOnSYlxcMNN4xlzJhMXC4HNTWBaOwFnLv2KfPVV5UUFZ1g/fqt7NlTSnl5LUuWTKR7sSk6I0bk4XaPY+jQbNLT03E4HGIJJI6RJIkTJ05w8OBBZs+ezTVTJmPYvBzZVc71i27AbJ7K9u07qK+vZ9asWXFjD3UdsrJOAKfoKEjSMEyys1MYNCiRiopa3G47+/efZM2aRQwfnsG11+Zz8OBp8vOz2bRpL35/C6GQTllZDV6vkxkzrqa2No0PPzyA3qYokqoq1NQEotfWAIU9e06wcOEocnLSWLx4HC+9tJ0RIzKZOzePESMGM3x4KqdPNzBtWi4JCU5SU72tdsHptOxGTU0Tqame6HKjhKoq0b1AVEzTJDHRydKlYxk0KJljx5r56KMDhEIRAoEwsgyJiS7S0xPxeFzRPZtUCgtLmDdvBMOHZ7BkyTjWrfuQmTMjzJgxnJEjhzBiRDqlpbVtvjWTtnEnum6QkuJh1aobSEpycv/9r1BcfIKxYwef97cdYZKUlMjcuXMZNCiT7OwsvF5vr9exiUQibN++HZ/Px6xZM8nJGc6+4w0cOdnY7jHdKtONqeFwOJg6dWqbtXdBb2GacqclXQ3DKtazePEYFizI5cEHN/Dww0uprW2mtLSaUChMc3OIhoYAf/vbZ7z44n0EAu8SiWhkZydTVHSCgoI6du06zpgxWbGz4vMlcPXV6bz00mfce28BLS0tNDS0oOsG+/aVc9VVaRw7Vs0dd0wnEtEIhzU0TScc1i2RqunRGA0TXbdiMMJhneef/5Tc3HRuvHES1dX1nDrVQGVlI0VFZTQ3hwHrWNM0qKkJ8D//8yHPPnsXW7bsp6KiDrCCsaqqmnA6k9E0A5fLhixL7NlTRn6+yeHDFSxcOIbdu0uIRKxMjEhE72DZQWHLloMsWjSeadPyGT9+GM89t5VTp2qino2uCguT9PR0XK6B5OYOIzs7G5fL1cVjBb1FTk4OM2fOJDU1FYAafwhME1OSyc3NY9iwHKqqqhg0aFAvt/R8Qlhl/Nu305pmkJ+fwY9/fAN33/00W7ceICMjicLCYwwePIjCwhJGjszmD3/4gMWLJ5KZmczTT39AaqqH+vpmSkqqOHKkgpqaQJvlD4MFC/J5/PF3Wbx4Aikpbvz+BgYM8FBYeIJZs8azc+dRMjOTkCSJcFgDLNug6ya6bkSzwkwMw/pd10327i2lpqaJe++dj83mIBzWOHq0mrS0JMrK6lAUGcMwox5VmWee+YT09CR++MPZFBeXtZ6rqspPMBiK7lllkJmZTFFRGYsWBfjss6OkpyciSfI57eqsZoSuG3i9NlJSrPHc0hLu5r0ycbmcDB+exdChVzFs2FB8Pl9ceDGzsrLIyMho3RX2/L2/zqebW5+ffS0ERe9jmmanokKSTLKzfWiaRm7uQHJzMwiHNX74w+msXv0qTqedf/u3WUyffjVTpw7jqafeprq6kdmzc5gxI4+dO4/ywAMv43bbyMhIILa6J0kGDz64hF//+p/cd99LeL0O7rlnLitXFvDkk+/idKosXjyWUaOySE9PwOWyZnBDhviw2RTS0rwkJbkBa6YkyxLNzSF8Pg/l5XU888xWfvKT7zJ79tWsXPkyaWleRozIwG5XyMryYRgmyckeli4dz9NPb6apKcjkyVfh8TiZPn0Ya9e+xWOPfY8hQ3ykpXn52c8KWLfuQ2w2hdmzc5kyJYdt2w7hctmRJKtdVuT6NwkGQ1RXN/LjHy8gOzsDgAMHSjl0qIJBg1LojrfC2oPA2gwqEom07rIoiF8SExPP+V2VZVRFpiVkzUBVVY07QWGlMhp07ASzYociEQ3QWL58KoWFJfzkJwtYu3YjH354iNzcdG69dQrp6W42bdqHy2Vj4MBEBg9OYenSCaxe/XdyclLJzU1vIyo0Zs/OY/nyah544O+43Q5mzMjh7ru/w3//9zvcd99zpKUl8NBDSzl06CTp6VY22oABXnTdxOFQGDw4GYDkZCeGYeL3t6DrJna7yosvbic1NZEVK2bxm9+8Q2FhCYMHp2C3KwwcmIjb7QB0br11Ei+8sIM//3kzqakJKIpEQcEoHnnkH2RmJpGamkAwqHHLLdN55JE3uPfe5xgwwM2DD95AeXkNmZlJWBMod6vIuRCqKuPxOPjVrzYiSXDddflMmjSM7m4OZprmObYhEolgs9l6XVhkZWV1/kdtkMwuJMOaJvz5vUOMHepj1qiMi26coGcxjCCy/H/pePkDwmEDVZWRZYhErLhdm81GU1MQRZFxuaxBaBgmjY0hEhIcmKa1bKLrBi0tGl6vDU0zUNW2Hdy6ZkNDEIdDxelUAYmWlnBUuTuxlL51nCxLhMMGNpuMppnIsuVFiUQkTpw4w89//hr/9V/f49ixal5/fTcvv3w3NpuC3x/C67VHo7glIhEDe+tGThL19SE8HpsVUKxa+eNNTWE8HhVNM6PXVmlpCaNpJgkJDsCIRpKfbVesjd/8niEc1qOfzxoummblkdts3Vm6MNm2zUFDQzpXXz2U7OxsPB6PEBV9jMbmCJt2lTF6SDIThqf0dnMuiCUqPkOWi7BqKFwYTbPsgTVuJIJBDZfLhqbpBAIRkpKcxGIH/P4QNpu1pGh1WQW/P4jHY8MwTBRFOm+So9LcHETTTBITrSwLSyCESEy0ApR1XccwwGaTomMKVPXsGLcySlRWrXqV4cMzWLBgDL/61Vvcc88c5s8fQ3NzC6pq7Voqy9bnURSi41gmELA8Bk6niixby1nNzREURUJVLc+GzWYtnVi2z9oB+ELtstnaf7gHgzrBoGVPLPvS/WrHFRUS27Ylc9VVQ1o9FfEgKs6n6FgtX5bWs2TaYJLc3+xbPbr3hyA+sbfZSdEaGFZKmNdrj75rxUrIsjUzOJuaZaAo4PVauefnCgqIzdCTkmKDyPrd5Yp1K/0b14+9bjtAbTYYNmwA99wzlw8++Bd2u8Ljjy+LxlMYJCTYz7m+/ZydIU2Sk2PXt36XJFqPsdtj19G/0a62gsDewW6TsgxOp0JbI2G1Jb4Gu+DyYvaD29+2H0uSGR0jlsC2xnXMC2e2jqmz6K3vXUiMg4a79aFjRv+urb0wo/uotG2LRWw8WmmhJj/96QI2bNjL228XsmLFdObMyQPCuN1nhT6c/+A38HjaXt/612qT2eb8BpJ0rh1rr13t4XTGJlXWdfszdkVGjy4lXQghKq5oLqSku/peR//f3QQoy9gsWTIhGvwIsTS0i7t+d94TCARnMdt5faHf23vvUo85H4OcnDRWr17c5vi2WVc9df1LsQ/CtsQQokIQR3SWdiUQCK5MDPq7B6C/IHLZ+jyxwSaUcl8gzpZHBReBqkioikQw3L1AvMtPbElS7GbcF+hzmeXt2DLhqejTyOh6OuFwIy0tYcLhCIYR74aua8TCh/vbQzgcVqK59f3sg11ByJKEIkttylLHJ6aZSDicQUuLRigUiqZaxnebu0J/tQ319TKqqrbWrYlXGxEr091elq0QFX0YSbIRCl1LZWUVZWVl1NbWEAqF4nZ3u+4Q+wzxOrAuFofDzoABLux2e68XthH0XyQJDCOfhoZBnDx5klOnThMIBPrFpKO/2gZFUUhM9OBwWGnm1h5I8fcZnXYF3TCjdYa+iRAVfRxFkfB6XaSnD8DtdhCJRHq7SYIOUFUVj8eD1+tFVdW4NBqC/oEsSziddny+JCTJJBQKoetGv5vh9wdMExRFxuFwkJycfME9geKFWLMuaUMxQXwiSRKKouDxeFBVFZ/P12nlN0HvIkkSdrsdh8MhREUfJpZ0Hc9YZagdpKSk4PF40HW9X3gx+ysxe+5wOPp0+X4hKvo4smypW5vNJgRFH0GWZbH00YeRJVAkiUicjzdZPrtG73Q6haDoA8SWPPqyfRCioo/TthNaZbv7ZkcUCPoKqiJbG+pF4j8+IfZwEnah7xD/dlyKBsteWKT2Tf+K4ILEd0cUCPoJUnTpo49M/IVd6FvE+/1y2BR0wyDSTkVNISoEAoFAIBB0CVWxRE97q39CVAgEAoFAIOgRhKgQCAQCgUDQI3Rp63OBQCAQCASCzhCeCoFAIBAIBD2CEBUCgUAgEAh6BCEqBAKBQCAQ9AhCVAgEAoFAIOgRhKgQCAQCgUDQIwhRIRAIBAKBoEcQokIgEAgEAkGPIESFQCAQCASCHkGICoFAIBAIBD2CEBUCgUAgEAh6BCEqBAKBQCAQ9Aj/HztUJ10FisVfAAAAAElFTkSuQmCC) The layout of the different lane configuration TYPES should be managed on the back end by your system administrator, in the table named "tblLaneConfigTypes". This table typically looks something like this:
![](https://help.junoviewerweb.com/images_help/LaneConfigTypesTable_1.PNG)
The Lane Segments are stored in the table named "tblLanes". The data in your lane segments table can be maintained in two ways:
- You can directly upload data into this table by using the Lane Segments page, which you will find under the Data menu; Or
- You can import lane configuration data using the Lane Configs page (also under the Data menu). Lane configuration data tells JunoViewer where each different Lane Configuration Type starts and ends on each Section of your network.
When you upload new Lane Configuration data, JunoViewer will automatically do some very useful data consistency checks for you. If all these checks are passed, your Lane Segments data for the chosen network will be automatically created from the Lane Configuration start and end positions. For more information about this, please look at the post on Creating Lane Segments from Lane Configurations.
edited by Rashel on 10/1/2022
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