s53 local road inventory ltc2013
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Federal Requirement As the data became digitized mileage reports
have been more accurate
Does not really mean accurate
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Impressive Better Looking
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Old Method
New Databases
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Field Log Books
Paper Maps
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Street Named Reference Non unique identifier
Field Log Books Paper Maps Really old and might fall apart
when picked up
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Unable to understand what the crew meant. What happens when the crew retires?
A. SimmonsB. SimonsC. SimmsD. As IsE. ?????
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Mainframe
Hard to understand
Slow
Not our generation
Problems from Spelling
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Linear Reference System Ability to show roadway attributes
Allows Prefix
Road name
Road type
Suffix
Feature Types (Direction, Frontage, Ramp)
Sequence
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Base map project Identify and create GIS lines for road network Combination of Census TIGER files, DOTD and local data Assign LRS IDs Alignment cleanup
Aerial imagery Roadware GPS points (ARAN)
State Routes Based on Control Section
9 digit code XXX-XX-F-LLL
Local Roads Based on Parish name and Street name
18 digit code PPP-X-NNNNNN-TTT-S-F-LLL
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Based on Control Section with Additional Codes to DistinguishBetween Roadway Elements
State Maintained Roads = 9 Digit Code
XXX-XX-F-LLL X = Control Section
F = Feature Type Code (Main direction,Frontage road, Ramp)
L = Sequential Occurrence Ex: 819-12-2-010
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Based on Parish FIPS, Road Name and Additional Codes to DistinguishBetween Roadway Elements
Local Roads = 18 Digit Code
PPP-X-NNNNNN-TTT-S-F-LLL
PPP = Parish FIPS
X = Prefix Code (N,S,E,W)
N = Road Name Code
T = Type Code (Ave, Blvd, St)
S = Suffix (N,S,E,W)
F = Feature Type Code (Main direction, Frontage, Ramp) L = Sequential Occurrence
Ex: 037-9-027507-029-9-1-010
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Typical Control Section Routes
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Expanded LRS with full exposure
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Difference in mileage reports werequestionable
Due to no names and other anomalies someroads were classified as unknown ownership
Private, Service and Farm roads were added.
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Crews were sent out to inspect some of theunknown roads.
Using local road data and visual cues, crewmembers have narrowed down the list.
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Obtain historical data from old data sources Assign LRS IDs for reference
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Old data was in a flat file with no spatialattributes
Separated roads by parish with its owndatabase (eliminates identical rural roads)
Geocoded street names (gains spatial data)
Spatially joined points to BaseMap data togain LRS
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Rural roads were almost non existent due tomost of them had no names.
Urban roads were matched to about 50%reliability. Due to the misspellings.
This showed the shortcomings of the old
system and how DOTD needed standards forcollecting
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Trimble devices (GPS) DOTD Distance measuring instrument
Pathfinder software
Surveyor software Roadware video collection
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Fugro Roadware Automatic Road Analyzer (ARAN)
2 year collection cycle
Collects data on roads throughout Louisiana
State maintained highways
Interstates
HPMS routes
Off system NHS routes
Collects electronic data (IRI, faulting, rutting, etc.) Records right of way and pavement images
Utilizes GPR unit during normal data collection
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Accelerometer sensors collectroughness Rutting data is collected by the
use of two scanning lasertransverse profilers
Right of way images are captured using two highdefinition cameras (1920 x 1080 pixel resolution)
The images are recorded every 0.004 millimiles (20
ft)
100% of the driven lane iscaptured by two cameras anddigitally stored for postprocessing of the ratings andquantification of the pavementdistresses
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Rutting Faulting
International Roughness Index (IRI)
Global Positioning System (GPS) Coordinates Longitudinal/Transverse Cracking
Fatigue (Alligator) Cracking
Patching
Texture
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Collected using video imagery Post processed
Surveyor software
Clean up current Inventory
Satisfy data requirements for safety analysis MIRE (Model Inventory of Roadway Elements)
Recommended listing of roadway inventory and trafficelements critical to safety management
HSM (Highway Safety Manual)
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GPS tagged imagery Collect attributes
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Number of Travel Lanes Type of HOV operations
Number of HOV Lanes in both directions
Presence of Right Turn Lanes Presence of Left Turn Lanes Posted Speed Limit
Sections with Toll Charge
Type of Toll
Count of Signalized At-Grade Intersections Count of At-Grade Intersections with Stop
Signs
Count of Intersections without Stop Sign orSignals
Begin Bridge Location
End Bridge Location
Measure of Existing Lane Width
Type of Median Measure of Existing Median Width
Type of Shoulder Material Measure of Existing Right Shoulder Width
Measure of Existing Left Shoulder Width
On Route Parking Locations
Type of Terrain
Sample Section Meeting the Sight Distancefor Passing
Surface Type of a Given Location
Presence of Curb
Presence of Rail Road Crossing
Start Location of Sidewalk Right
End Location of Sidewalk Left
Identify ADA Compliant Sidewalks
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DOTD is working with Fugro Roadware tocollect all of the Local Roads in the same waythe State maintained roads were.
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Local level involvement in road verification street name, ownership, geometry
Notification of newly constructed roads
sending & receiving maps
3 options: paper
GeoPDF
ArcGIS Online
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an interactive pdf map (normal pdf extension)
Toolbar ($0) by TerraGo Technologies,used in Adobe Reader ($0)
Local officials can View and correct a roads attribute data Draw new roads & redraw existing roads (red line)
Use with mobile devices in the field
An adapter, a work-around
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A mapping community profiles, groups, comments, ratings, etc
Parishs editing capability can be limited to within their parishonly
A more streamlined process of communication & data sharing
Functionality View/edit attribute data, draw/edit road geometry
Edits made in GIS format
Changes can be viewed instantly by anyone with access to themap
A work in progress? Will improve over time as DOTD and local officials continue to
use ArcGIS Online, giving each other feedback along the way.
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Ask not what LA DOTD can do for you,but what you can do for LA DOTD.
LOCAL government officials, engineers, taxassessors, E911 offices know their roads betterthan anyone.
Accurate/Inaccurate data affects $funding$(Mileage and Ownership)