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Roadway Data Governance

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Presentation on theme: "Roadway Data Governance"— Presentation transcript:

1 Roadway Data Governance
Acadiana Planning Commission Lafayette, Louisiana Roadway Data Governance

2 History LA Department of Transportation and Development performed a significant data collection on all of the roadways in Louisiana Data that needs to be maintained Gaps remaining Technical assistance from FHWA to develop a plan for managing and updating data About 3 Fugro elements – Right and Left Turn Lanes, Toll, Terrain, Pavement Type, Number of Lanes, Intersection Control, Grades, Vertical/Horizontal Curve, HOV Lanes, Rail crossings, Sidewalks, ect how the data was collected – Video – ran van along all roads Data gaps – traffic count data, other MIRE elements on local roads

3 Framework for Maintaining Local Data
Acadiana Planning Commission – regional 7 county planning commission Planning Commission Staff - state and local councils for GIS data development Regional Aerial Data Collection and Coordination Effort Framework for Maintaining Local Data Also have 8 parish/county regional safety coalition – have included the parish from that region State GIS council – developing schema for local and state roads – intend to integrate that Aerial data is orthos and obliques – high level imagery

4 Data Governance Group LA-DOTD is also a significant partner
Stakeholders from all levels of local government: Public Works Sheriff’s Office 911 Commission Tax Assessors LA-DOTD is also a significant partner By having a group, it provides legitimacy to the work that we are doing. Most local agencies work in silos and not regionally, so by working together we could demonstrate the benefit of sharing the information. The local agencies would receive a data collection that was better than what they could develop on their own. Sheriff’s offices might seem like outliers, but they have a clear need for public safety and have much of the best information on roadway locations, addressing, and even traffic count data. Several of the Sheriff’s offices in the region have speed trailers that also collect a significant amount of ADT information since they will leave them at the location for a week or two. The State DOT has been an invaluable resource in working with the local agencies and providing them with much needed data

5 Duties of the Data Governance Group
Guidance on local data collection Guidance on data conflation Provide a framework for implementation For instance, we had to rely on several relationships between group members to receive the data collection. We had to have one assessor call another assessor to show legitimacy to provide the data. However, we did run into one agency that refused to provide any information, saying that the data was proprietary.

6 Project Outline Maintain primacy of state data and edit it as the base map with state schema Develop a methodology for updating the data Obtain Data

7 Range of Local Roadway Data
GIS Full set of roadway information State DOT data Access Database Focused on segment condition and some characteristic data Public Works Department in Mid Sized County GIS and Access Database Location and addresses Aerial imagery Assessor and 911 Commissions Characteristic data – lane widths Planning Commission also has aerial data

8 Local Count Data ID Road Name Average Daily Count Speed Limit
Percent Vehicles Exceeding Limit by 10 Miles or More Speeding Time 1 Austin 327 40 77% Day and night 2 Beck Miller 874 20 47% 3 Cheramie 665 48% Morning and afternoon to evening 4 Cosay 243 45 1% Morning to midafternoon 5 Flagstation 434 35 59% Morning 6 Lawyer 734 4% Morning and afternoon 7 Longwood 297 14% Afternoon into evening 8 Meche 516 15% 9 Nonc Lol 250 Afternoon 11 Oscar Rivette 557 12% 12 Rainbow 195 Late night 13 River Birch 176 3% Morning and afternoon into evening 14 Soileau 2201 15 Sugar Mill 43 Mid day 16 Gulino 336 Day and all night

9 Data Integration 3 Levels of Data: Roadway Locations Aerial Imagery
Databases

10 Missing Segment Missing Segment

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12 Process for Maintaining and Distributing Data

13 Maintenance Methodology
Utilizing ESRI crowdsource programming for low tech workers to provide information Working with local agencies to provide information on an annual basis

14 https://arcg.is/0juzri

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17 Implementation of Data Collection
Utilize roadway locations, new volumes, and characteristic data for Local Road Safety Plan update and safety project development Roadway locations key for spatial analysis – frequently have a spike in crashes on new roadway segments and widenings

18 Contact Information Ashley Moran, Planner II Phillip Breaux, GIS Analyst


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