s53 local road inventory ltc2013

7/29/2019 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)

s53 local road inventory ltc2013

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