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Passing the Shape field into the evaluator passes the spatial reference, unit and geometry for the edge into the evaluator. Note that the value for the Streets (Along) row is the Shape field. Close the attribute table when you're done examining it.Ĭreate a basic network dataset using the Create Network Dataset geoprocessing tool.Once the height restriction is set up, you will be able to specify a vehicle height of the tour bus in the analysis settings, and the network dataset can restrict some roads if the tour bus cannot drive on them due to its height. These two fields will be used to set up a special type of restriction called a parameterized restriction. The FT_HeightLimit_Meters and TF_HeightLimit_Meters fields have mostly null values, with a few features filled in with a number. The DIR_TRAVEL field has values such as FT and TF in it, which will be used for setting up a one-way restriction. Most of the fields have a value of Y or N in them. These fields will be used for setting up restrictions to prevent travel on certain roads in certain situations.
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There are also fields such as PAVED, AR_PEDEST, AR_BUS, AR_AUTO, DIR_TRAVEL, TF_HeightLimit_Meters, and FT_HeightLimit_Meters. Again, we’ll come back to this field and to hierarchy in a future part of this tutorial. This field will be used for setting up a hierarchy attribute on the network dataset. The FUNC_CLASS field is an integer field that assigns a category to each road. These fields will be covered later on, when you are creating the network dataset and choosing an elevation model. This will help to properly establish structures such as overpasses and underpasses, where you cannot turn directly from one street to another due to a difference in elevation. The F_ZLEV and T_ZLEV fields will be used for defining different levels of streets. These fields are typically double or float type fields. The fields such as FT_Minutes, TF_Minutes, KPH, and Meters can be used to set up cost attributes that tell the network dataset the cost for traversing each edge. The data for this tutorial is available for download. The final network dataset created using this tutorial can be used to generate routes and driving directions for tourists looking to visit public attractions around San Diego.Ī completed network dataset is included in the tutorial data as an example. You will start by creating a basic network dataset using the Create Network Dataset tool, then you will go through each property page to set up additional travel attributes, such as network sources, costs, restrictions, descriptors, travel modes, and directions. In this tutorial, you will create a customized network dataset from data of San Diego streets and public attractions. Add network sources and set up connectivity policies.