In the US, state Departments of Transportation (DOTs) face some unique challenges, including spatial and LRS data process and representation, which are above and beyond those experienced by most other enterprises. The Arizona Department of Transportation’s (ADOT) leverages FME technologies to connect the data silos, enable data visualization and discovery, harmonize LRS, spatial and non-spatial datasets, and weave best practices into a strong data governance fabric. The presentation shows how FME is used to enables and orchestrates the workflows, dashboards, metadata, quality control and data improvement.

1. Support DOT
Data Culture
with FME
James Meyer, GISP
Multimodal Planning Division (MPD), AZ DOT
Bo Guo, PhD, PE
Gistic Research, Inc.

2. DOT Data Silos
Data silos for and about a shared road network within a Department of Transportation.

3. AZ DOT MPD Data Culture Strategies
1. Respect silos and focus on
connection and sharing.
2. Develop dashboards of
authoritative data and for
data-driven decisions.
3. Build confidence in data
through quantifying data
quality.

5. Live GDB
Structures
Snapshots
DataMart
Pavements
Snapshots
HPMS
Snapshots
Published
Reports
MetaData
QC
HPMS
Structures
Pavements
Dashboards
Esri Roads & Highway Other Business Data Sources

6. How FME Helped
● ETL: Linear Segmentation
● Metadata: Quality Index
● QC: Spatiotemporality

7. Key Metrics & Dimensions
Metrics Common Dimensions
● IRI Rating
● Structure Sufficiency Rating
● Centerline Miles
● Maintenance Miles
● Vehicle Miles of Travel
By Area Urban / Rural, County, MPO
By Key Event
Engineering Districts / Units, NHS, Ownership,
Functional Systems
By Route Type Frontage, Cardinality, Ramp
By Highway Category
Interstate, NHS, Non-Interstate NHS, Non-State
NHS, State HS, State Non-NHS

8. LRS Dimensionalization Process I
A route network is broken into route segments where values of any
desired dimensions change.
Original Route
Segmented Route
County Code 13 07 07
Functional System 4 4 5
Ownership 1 1 1
Urban Code 99998 99998 99998
... ... ... ...

9. LRS Dimensionalization Process II
Relate Theme Events (of linear or point type) with the
Dimensionalized Route Segments to get dimensional values.
Theme Events
Segmented Route
County Code 13 07 07
Functional System 4 4 5
Ownership 1 1 1
Urban Code 99998 99998 99998
... ... ... ...

10. FME Processes Area Dims LRS Dims
LRS Dimensionalizer
Route
Network
LRS_DimAssginer
lrs_dimensions
Theme
Events
Theme
Events
Dimensionalized
Hub Transformers Used
LRS_Event2LN
LRS_EventLineOnLine
LRS_EventGeoCoder
LRS_EventLineOnArea
LRS_EventPointOnLine
LRS_EventRelator

11. How FME Helped
● ETL: Linear Segmentation
● Metadata: Quality Index
● QC: Spatiotemporality

12. Multiple evaluation items in three sections
Section Measure Objective Sample Item
Source Authoritative & Timeliness
Source Data Location
Update Notification
Up-to-date
Process Fidelity & Sustainability
Maintenance Schedule
Maintenance Tool
Quality
Confidence & Improvement
planning
Key Integrity (%)
Overlap (%)
Route Extent (%)

13. QI Component Examples
Section Component Description Score Type Assessed Calculated
Source
Source Data Location Qaul 1, 0 na
Update Notification Qual 1, 0 na
Up-to-date Quan 0 - Unknown, 1 - No, 2 - Yes na
Process
Maintenance Schedule Qual 1, 0 na
Maintenance Tool Quan 0 - Unknown, 1 - tool1, 2 - tool2 na
Quality
Key Integrity (%) Qual na If exists 1 else 0
Overlap (%)
Quan na
0: > 1%
1: >=0.001% & <= 1%
2: < 0.001%Route Extent (%)

14. Metadata
Dashboards
Screens

15. How FME Helped
1. QC Automation
2. Metadata Association
3. Score Calculation
Hub Transformers Used
LRS_RouteQCer
LRS_EventQCer

16. QC Code List
Code Exception Description Object Type
DNER Domain - non-existing route EVENT
DOBM Domain - Out of bound measure EVENT
EDUP Duplicate events definition EVENT
EGAP Event gap or missing value EVENT
EIRE Irregular events EVENT
EOVP Overlapping events EVENT
GIVN Invalid or null geometries NETWORK
KDIF Duplicate or ill-formatted keys ALL
MVAL Missing value NETWORK
OTHE Everything else ALL
RMES Route measure inconsistencies NETWORK
RVTX Route vertex inconsistencies (minor gap, kinks) NETWORK
TGAP Temporal Gap ALL
TOVP Temporal Overlap ALL

17. How FME Helped
● ETL: Linear Segmentation
● Metadata: Quality Index
● QC: Spatiotemporality

19. Illustration of Spatiotemporal Inconsistencies

20. Spatiotemporality QC
1. Build rectangles from source events.
2. Define overall spatiotemporal domain.
3. Area overlay operation.
4. Rectify coordinates of the resulting rectangles.
5. Event definition.
6. Identify Gap / Overlap rectangles.
7. Identify Offending Events.
1
2
3
4
5
6
7

21. Credits
Additional Members of the AZ DOT DataVis Team:
Thor Anderson
Patrick Whiteford
Ryan Blum
Sage Donaldson
Karol Francis (Gistic)
Sean Hills (Works Consulting)
Jinzhou Zhang (Gistic)
21

22. Thank you!
James Meyer:
jmeyer@azdot.gov
Bo Guo:
bo.guo@gisticinc.com
gisticinc.com
youtube.com/linearbench