KDOT PMS Replacement Project

R-PMS System Use Cases : Model . KDOT PMS Process and Data Flow Overview : Pool . PMS Modeling Processes : Choreography Sub-Process . Prediction Modeling : Activity

Swimlane - PMS Modeling Swimlanes link

Children
Name Description
 Existing AECOM Modeling at KDOT : Activity Partition
 R-PMS Vendor Proposed Modeling : Activity Partition
 Import a Snapshot : Action
 Acquire Snapshot User Parameters : Action
 SS_UserParms : Object Node
 AECOM_Snapshot : Object Node
 Categorize Segments Expanded : Structured Activity Node
 Determine Recommended Action : Action
 Iterate t=time to First Distress (IFD) : Loop Node
 Determine IRI_0 Equivalent Thickness : Action
  : Constraint
  : Constraint
  : Constraint
 Current Year Scan Data Integration in ML Database : Action
 Current Year Scan Data Normalization : Action
  : Fork Node
 Generate Family of Curves per Dimension : Action
 Constraint Generation : Action
 Normalization through Dimensionality Reduction : Action
 Identify the Road Categories : Activity

This stage involves shifting to the modeling activities and to take the Historical Data and any new data from WinCPMS, and use this data to determine the Road Categories of each 1/200th mile segment. Once determined then the Road Category allows modeling activities to properly predict the degradation of the surface of the road segment analytically and/or through statistical processes.

 Vendor Predictive Modeling Solution : Activity

Appears In
Diagram
 R-PMS System - Prediction Modeling Activity Diagram : Activity Diagram
KDOT PMS Replacement Project