Date: Thu, 28 Mar 2024 06:02:43 -0500 (CDT)
Message-ID: <45123371.34479.1711623763016@olcflv1.outside.agileassets.com>
Subject: Exported From Confluence
MIME-Version: 1.0
Content-Type: multipart/related;
boundary="----=_Part_34478_632810106.1711623763012"
------=_Part_34478_632810106.1711623763012
Content-Type: text/html; charset=UTF-8
Content-Transfer-Encoding: quoted-printable
Content-Location: file:///C:/exported.html
The purpose of the Calculated Expressions window is to supply user-defin=
ed information for some parameters used in analysis. This setting is either=
the definition of a drop-down list for use in other windows or a formula f=
or direct use in analysis. Each analysis module (i.e., Pavement Analyst, Br=
idge Analyst, etc.) has its own Calculated Expressions window, and the expr=
essions only apply to analysis in that module.
The parameters are shown in the drop-down list in the top left corner of=
the window. The system allows 4 parameters to be defined using Calculated =
Expressions:
- Analysis Index Weight Factor
- Analysis Priority
- Budget Category
- Treatment Cost
By selecting from this drop-down list, you can then define the expressio=
ns for the parameter. Multiple expressions are allowed for all parameters <=
u>except Analysis Index Weight Factor and Analysis Priority. These two =
parameters are only allowed one expression.
In addition to the parameters drop-down list, the Calculated Expressions=
window contains three panes: Expressions pane on the left, SQL pane in the=
bottom left, and Columns pane on the right.
Description of the Available Expressions
The available expressions are:
- Analysis Index Weight Factor =E2=80=94 This parameter =
affects the benefits resulting from a scenario analysis regardless of the o=
bjective of the analysis. An SQL expression is required for this parameter.=
This parameter acts as a default when a Groovy script is not selected in t=
he Analysis Weight Groovy Script column in the Optimization An=
alysis window.
Analysis Priority =E2=80=94 This parameter is a sin=
gle formula that is the priority to select candidate treatment that are gen=
erated from Decision Tree, for each section in Network Master. It is applie=
d in network analysis when the prioritization method is chosen. The higher =
the number the higher the priory that the road section will be treated at. =
An SQL expression is required for this parameter. This parameter acts as a =
default when a Groovy script is not selected in the Priority Groovy S=
cript column in the Optimization Analysis window.
- Budget Category =E2=80=94 When this parameter is selec=
ted, every record in the Budget Categories window (see Section 9.2 for deta=
ils) is entered in the Expressions pane. Then, for each record in the Expre=
ssions pane, the ID of the budget category record in the Budget Categories =
window is entered in the SQL pane.
Treatment Cost =E2=80=94 This parameter is composed=
of the set of values of all treatment costing methods. An SQL expression i=
s required for each treatment cost method and is entered in the SQL pane. F=
or example, if treatment cost is by square feet, then the formula would loo=
k like this: "UNIT_COST * COALESCE(SEC_WIDTH,24) * (LENGTH) * 5280 / 900", =
where unit cost, length, and width are columns in the Network Master. Treat=
ment costs then appear in a drop-down list in the Cost column in the Treatm=
ents pane of the Treatments window.
The following example shows a relatively more complex treatment cost, where=
the cost is calculated based on different AADT levels, and the unit cost i=
s stored in another table named PMS_TREATMENT_COSTS:
CASE
WHEN AADT<2000 THEN (SELECT B.UNIT_COST* NVL(SEC_WIDTH,24)*(LENGTH)=
* 5280 /900 FROM PMS_TREATMENT_COSTS WHERE PMS_TREATMENT_COSTS_ID=3D1)
WHEN AADT<5000 THEN (SELECT B.UNIT_COST* NVL(SEC_WIDTH,24)*(LENGTH)=
* 5280 /900 FROM PMS_TREATMENT_COSTS WHERE PMS_TREATMENT_COSTS_ID=3D2)
ELSE THEN (SELECT B.UNIT_COST* NVL(SEC_WIDTH,24)*(LENGTH) * 5280 /900 =
FROM PMS_TREATMENT_COSTS WHERE PMS_TREATMENT_COSTS_ID=3D3)
END
Expressions =
Pane
The Expression pane allows you to configure the value of the parameter s=
elected in the drop-down list in the upper left corner of the Calculated Ex=
pressions window. When the selected parameter may have multiple, discrete v=
alues that appear in a drop-down list, then multiple records in this pane a=
re configured; when the parameter's values result from a formula, then only=
one record is configured.
SQL Pane
The SQL pane in the bottom left corner of the window contains the calcul=
ated Oracle SQL expression pertinent to the currently selected parameter an=
d record in the Expression pane. It is this expression that is used in anal=
ysis to provide the appropriate calculation. The Oracle SQL expression must=
be limited to columns that exist in the Network Master table and must be v=
alid. (To check that the SQL expression is valid, click the Check button.) The Columns pane lists the columns that may be included in the=
SQL expression.
Once an SQL expression is completed, activate the new SQL expression in =
the network analysis process by following the steps below:
- Click the Check button to be sure that the expression is v=
alid.
- Click Accept.
- Click Save to save the new expression.
Columns Pane
The Columns pane on the right side contains the list of columns that may=
be used in expressions. If a column is a list, then a hyperlink is provide=
d in the List Column to display the values in the list.
A column of the Network Master is marked for use in expressions by selec=
ting the Used in Expressions check box in the PMS Columns in A=
nalysis window.
------=_Part_34478_632810106.1711623763012
Content-Type: application/octet-stream
Content-Transfer-Encoding: base64
Content-Location: file:///C:/e1ad2ccb14be7ecbaf58a74c694cad99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------=_Part_34478_632810106.1711623763012--