Navigating the Potholes of GIS & CADD Integration at Virginia DOT November 2013 Bryan Kelley RNS/GIS...
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Transcript of Navigating the Potholes of GIS & CADD Integration at Virginia DOT November 2013 Bryan Kelley RNS/GIS...
Navigating the Potholes of
GIS & CADD Integration
at Virginia DOTNovember 2013
Bryan Kelley
RNS/GIS Program Manager
Information Technology Division
2
Agenda
1 Introduction to Virginia DOT
2 CADD File Management
3 Road Inventory Management
4 Field Data Collection
5 Integration Efforts
6 Lessons Learned
3
Intro to Virginia DOT
• The agency maintains a ~58,000-mile network of highways and bridges, 4 underwater crossings, 2 mountain tunnels, 3 ferries, and ~20,800 bridges.
• In addition, Virginia has ~10,500 miles of city & town roads, ~1,800 miles of county roads, ~50 miles of toll roads, and ~400 miles of Federal roads.
• VDOT has nine districts. In the districts, there are 42 residencies and more than 200 local offices. VDOT's headquarters is in Richmond.
• VDOT manages the core roadway inventory data across multiple business units: Traffic Engineering, Maintenance, Transportation Planning, Local Assistance, etc.
• The Commonwealth of Virginia’s 39 cities are independent of the 95 counties.
4
CADD File Management
• Falcon & CADconform
• CADD files are managed in Falcon, which is an integrated desktop and
web-based application that enables users (internal & external) access
to files.
• The Falcon applications provide search, revision control, document
notes, file check-in/check-out, and archive tools.
• CADconform Server is used by VDOT as a quality control tool to
ensure that CADD file submittals conform to design policies and
standards. CADconform checks for level, text height & width, text
font, line style, and line weight standards (i.e., spellchecker for
DGN files).
• The Falcon (tsaADVET ) applications and CADconform (Altiva) operate
on top of MicroStation and are integrated with MicroStation from the
user's perspective.
6
Roadway Inventory Management
• Roadway Inventory Management System (RIMS)
• Roadway modifications tracked as Inventory Change Requests
(ICR)
• Manages & maintains core road inventory data as reported thru biz
process
• Data managed as ‘events’ along linear referencing system (LRS)
• Available data entry categories
• Responsibility: state, county, city, town, federal, etc
• Travelway: # thru lanes, pavement width, shoulder and median type &
width
• Sidewalk & bike/ped facilities: side of road, description
• Pavement surface & base type: type categories, description
• Right of Way: width from CL, variability, description
• Other: Scenic byway, Highway name, Toll facility, Functional class, NHS,
etc.
• Associated reference files can include: Plats, construction plans, other
docs
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Roadway Inventory Management
Web-based applications
enable field staff to enter
inventory data. Automated
workflows notify central office staff for QA of
data.
Application indicates
conflicts or gaps in inventory data based on defined business rules. Authorized staff can update the data to correct
issue.
8
Field Data Collection
• Data collected via contracted van-driven process
• On a typical annual basis: interstates, primaries, 20% of
secondaries
• Typical data: pavement condition, pavement ratings, driven
imagery, etc.
• Pavement data feeds models for maintenance program
• One-time collection data efforts have included…
• Curves, grades, etc.
• Guardrail, sidewalks, etc.
• # of lanes, turn lanes, etc.
• Data available as GIS files, process under
development way to synch it with and
update road inventory data. All data
collected using linear referencing system.
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Enterprise Data on the LRS
• Roadway Inventory ManagementManages & maintains core road inventory data
• CrashManages, consumes, locates, and feeds crash data via TREDS
• TrafficIdentifies the location of traffic links along the LRS
• Speed ZoneManages speed zone data along the LRS
• Railroad CrossingManages location and attributes of crossings
• Structure and BridgeManages location of bridges with PONTIS
• Pavement ManagementSynchronizes pavement condition data with PMS
• Highway Performance MonitoringProvides data editing and HPMS reporting functionality
RNS Program data feeds
Virginia 511, VA Traffic, & DMV's
Automated Routing System.
10
Data Visualization: Inventory & Field
All RNS data can be
visualized via desktop GIS
applications , or enterprise
web map. Shown are
crashes and speed zones in
Integrator 2.
Integrator2 ‘integrated’ with iVision via right-click action. Brings up driven imagery and associated data.
11
Integration Efforts: Past
• In 2006, VDOT contracted to build a GIS-CADD integration leveraging ESRI’s
ArcIMS, ArcSDE, FME, and Falcon (CADD DMS).
• The objective was to GIS-enable CADD drawings so that they could be
automatically overlaid on the GIS data.
• The scope of the involved converting the CADD file from native coordinate
system to a custom geographic projection, and displaying the ‘levels’ of the
DGN file with the ‘layers’ of the GIS data.
• Although technically successful, discoveries were made...
• CADD data followed more than one standard
• Complexity of coordinate conversion
• Speed of conversion and overlay process
• Culminated to workflow not being deployed
12
Integration Efforts: Present
• In 2011, VDOT contracted to build a prototype application that had the ability to
upload, scale, & rotate an image based on user-defined control points.
• This ‘widget’ was built using ESRI ArcGIS Server and Silverlight API, and is a
candidate widget to be included in VDOT’s enterprise mapping application
(Integrator 2).
• In addition, VDOT is evaluating the ability to locate CADD file availability in
GIS for a given section of road to provide a visual indication that a file is
available to view and an image / use the widget to place the image on the map.
• Some outstanding questions remain…
• Updating CADD file availability in GIS
• Persisting CADD file overlays
• Speed of integration effort
13
Integration Efforts: Work in Progress
RIMS
HPMSCrash
Others
RNS
Int2
GIS
iVision
Falcon
FalconUser Defined
System integration is an ‘IT’ task. However, the more important task is the
business processes that make that integration necessary and possible.
Early attempts at CAD/GIS integration were technically
successful, but from a practical perspective failed. Newer tech,
data standards, and a simplified approach may help.
A GIS web-based tool has been prototyped for
rubber-sheeting an image over
GIS data.
14
Lessons Learned: The Pain Points
Considerations to make when devising a GIS / CAD / As-Built solution• “IT” takes time
• Set expectations accordingly and publicize measures of success
• Business Owner Champions• Find multiple business owners who will champion and help fund your effort
• User Experience• Engage end-users early & often; keep it practical, reliable, & usable
• Data Standards• Establishing, maintaining, and following data standards is paramount
• It’s all about the data• Visualizing & analyzing data with current technology reveals the gremlins
• There will be discoveries of data issues requiring data clean-up
• Educating users on ‘how to use’ and ‘how not to use’ data is key
• Establishing & maintaining a strategic vision is critical to success
15
Thank you for this opportunity.
For questions or further information, please contact…
Bryan Kelley
RNS/GIS Program Manager
Information Technology Division