Asset Management and Data Collection using Digital Video / GPS Data Extraction Techniques
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1 Asset Management and Data Collection using Digital Video / GPS Data Extraction Techniques TRB 6 th National Conference on Transportation Asset Management Kansas City, Missouri November 2, 2005
2 Presentation Overview Case Study / Problem Statement Review Asset and Data Collection Selection Method Data Collection Project Execution Digital Video Field Survey Digital Video Asset Extraction Benefits Other Uses
3 Case Study Regional Municipality of Halton, Ontario, Canada 967 square km Region / County Network Four local municipalities Population ,000 Regional Road System 312 Centre line km of Roadway 842 Lane Km of Roadway 212 Traffic Signals 167 Un-signalized Intersections
4 Problem Statement 2003 Transportation Services Department implements a Transportation Data Model (I.e. data dictionary) to maintain Infrastructure data for the Regional Road Network Right of Way DATA IS REQUIRED TO FUEL THE ENGINE Development and implementation of a process to determine what data is required and what is the best method for field data collection Cataloging existing data sources (paper/mylar/cad/gis) Reviewing Detailed Data Requirements Consultant Retention Data Gap Analysis Workshop with all users Establish rules/relationships/linear referencing Approach to execution of data collection
5 Transportation Data Model Assets and Data Collection Phasing Phase Asset Phase Asset 1 Guide Rail 2 Access 1 Intersection 2 Boulevard 1 Marking Line 2 Bridge 1 Marking Point 2 BusStop 1 Marking Poly 2 Curb / Gutter 1 Master Controller 2 Hand Hole 1 Median 2 Inlaid Delineater 1 Number Of Lanes 2 Landscape Area 1 Pole 2 Loop Detector 1 Sign Location 2 No Parking 1 Sign Placement 2 No Passing 1 Sign Type 2 No Stopping 1 Street Centreline 2 No Trucks 1 Street Light 2 No Turns 1 Traffic Controller 2 Pavement 1 Traffic Signal 2 Railway Crossing 2 Recreational Path 2 Road Speed 2 Sidewalk 2 Wall
6 Phase 1 Assets Data Collection Selection Methodology Data Requirements Complete, accurate (sub metre) and current geometry/attribute Integration with Transportation Data Model Reviewed data collection selection methods Digitization Handheld GPS Mobile Digital Video Survey Advantages and Disadvantages were compared
7 Data Collection Method Selection Method Description Data Sources Advantages Disadvantages Digitization Tracing/Digitizing Tablet On-screen Digitizing CAD Drawings/Mylar s/ Paper Maps / Orthophotography Labour costs Timeframe Data currency Positional accuracy Hand Held GPS Mobile Digital Video Imagery Field Data Collection In office data compilation Mobile Collection Digital Video Imagery / In office data extraction and GPS Data compilation GPS Unit/Field Staff Accuracy control Safety Resource intensive Weather/satellites Attribute collection Positional accuracy Attribute accuracy Immediate Inventory No field revisits Weather Cost of technology if purchased
8 Data Collection Method Selection Scoring Matrix A scoring matrix was established for each transportation infrastructure asset with respect to the data collection methods Code Rating 1 Not achievable 2 Intensive 3 Accom plishable 4 Good 5 Optim al m ethod Each asset was given a rating based on on the ability to capture the geometry/attribute requirements
9 Data Collection Selection Method Return on Investment An example of the matrix Mobile Digital Video Survey Mobile Digital Video Survey Handheld Handheld Digitize Digitize GPS GPS Phase Asset Feature Type Geometry Attribute Geometry Attribute Geometry Attribute 1 Guide Rail Geometry/Attribute Intersection Geometry/Attribute Marking Line Geometry/Attribute Marking Point Geometry/Attribute Marking Poly Geometry/Attribute Master Controller Geometry/Attribute Median Geometry/Attribute Number Of Lanes Geometry/Attribute Pole Geometry/Attribute Sign Location Geometry/Attribute Sign Placement Attribute Sign Type Attribute Street Centreline Geometry/Attribute Street Light Geometry/Attribute Traffic Controller Geometry/Attribute Traffic Signal Geometry/Attribute
10 Data Collection Selection Method Mobile Digital Video Survey satisfied the geometry/attribute needs for Phase 1 data to be collected Project timelines, resources and extra benefits weighed into the final selection method Next step EXECUTE THE PROJECT
11 Mobile Digital Video Survey Work Plan Equipment Preparation Define Data Models Field Data Collection GPS Post Processing Feature Extraction QA / QC
12 Mobile Digital Video Survey Data Flow Mechanism to collect transportation assets along the Regional Road Network Right of Way Video Data Server Field Surveys Video and GPS Capture Software AVI GPS Digital Video/Images (AVI/JPG) AVI JPG ODBC QA/QC ArcMap Desktop Software Asset Positioning Through Video Analysis ODBC Central Database Access 2000 ODBC GIS Manipulation ArcMap ESRI SHP AVI To Halton Image Viewing Software ESRI SHP Digital Video
13 Mobile Digital Video Survey Equipment Preparation Equipment Calibration for: Camera Orientation (for positioning assets) Vehicle Dynamics (increased accuracy and positioning) 45 o 45 o GPS
14 Mobile Digital Video Survey Field Surveys Left Camera Digital Video Survey (3 metre intervals) Right Camera D I R E C T I O N O F T R A V E L
15 Mobile Digital Video Survey GPS Post Processing Temporary GPS Base Station setup in the centre of the Region All real time corrected data was further post processed through proprietary software that implement vehicle dynamics into the post processing algorithm Result was a vehicle GPS trace data accurate to 1.5 feet 100% of the time
16 Asset Extraction Data Inventory Attribute Data/ Relationships Lon Lat Alt
17 Asset Extraction - QAQC
18 End Product Data Collected: 600 Guide Rails 6000 Marking Lines 1700 Marking Points 40 Marking Polygons 300 Medians 4400 Poles 3400 Street Lights 7000 Sign Locations Signs 2500 Traffic Signals 1400 Lane Attributes GIS Transportation Infrastructure Database Public Works / Asset Management Immediate Safety Maintenance Needs Full Video Log of Network (Liability Issues) Pavement Management Program Engineering (Preliminary Design)
19 Benefits Realized Accurate Geo-referenced High Resolution Digital Image archive of the road network Visuals for public presentations Customer complaint review feedback tool Reduced field visits Dataset for emergencies Dataset to catalogue and remove illegal signs Dataset for non-transportation assets within the ROW (Hydro Line Crossings and Fire Hydrants) AVI integration with ESRI software
20 Summary of Data Use Asset Management (Planning) Urgent Safety Requirements ADA Obstruction / Compliance Study s E911 Systems Sustainable Asset Management
21 Asset Type Asset Component Quantity Unit Value Replacement Value Roads Expressway 46 km $833 /km $39,000,000 Rural Arterial 71 km $335 /km $24,000,000 Rural Collector 787 km $285 /km $224,000,000 Rural Local 195 km $285 /km $55,000,000 Urban Arterial (minor) 167 km $1,319/km $221,000,000 Urban Arterial (major) 253 km $1,984 /km $504,000,000 Urban Collector 378 km $1,237 /km $467,000,000 Urban Local 845 km $1,193 /km $1,000,000,000 Bridges/ Culverts 352 $1,000,000 each $352,000,000 Sidewalks 2,270,000 m $100 /m $227,000,000 Traffic Signals traffic 470 $90,000 each $42,000,000 Signals - pedestrian 350 $40,000 each $14,000,000 Street lights arm & luminaire 35,979 $500 each $18,000,000 Streetlights poles & luminaire 2,241 $2,500 each $6,000,000 Signs 250,000 $150 each $38,000,000 Pavement Markings 2,743,985 m $2 /m $5,000,000 $3.2 billion
22 Financial Analysis Construction Costs $ $1,300,000,000 Average per 5 years $ 151,050,983 Average per annum $ 30,210, years Growth 2.5% $ 6,800,000 Engineering cost 15% Contingency 10% $ $ 208,000, ,000, % per annum Overhead & Admin 10% $ 69,000,000 Borrowing Costs 20% $ 900,000,000 Total Capital Requirements $ 2,600,000,000 $ 244,919,865 Average per annum $ 48,983,973 O & M 1.0% $ 861,000,000 Overhead & Admin 10% $ 86,100,000 Cost Allocations 2% Total O & M $ 824,000,000 $ 319,260,565 Average per annum $ 63,852,113 $ 43,000,000 Total O&M + Capital $ 3,400,000,000 $ Average per annum $ 163,000,000 Additional Contribution to Reserves Total Revenue Requirements Average per 5 years $ 564,180,430 Average per annum $ 112,836,086 Sustainable Funding Level
23 Revenue Requirements Roads Average Annual Requirement = $163,000, $ (millions)
24 Expenditure Revenue Reserve Fund Plan Plan Plan Water Water Average Annual Requirement = $117,000, $ (millions)
25 Communications Tools
26 Asset Replacement Value per 50 property frontage Total Value = $65,500 Fleet - $775 Roads - $23,400 Solid Waste - $690 Transit $950 Parks & Open Spaces $1,600 Public Buildings - $4,600 Storm - $6,250 Sanitary & Combined - $13,600 Water - $13,500
27 Impact on Rate & Levy Programs Life Cycle Projections (years) 2005 Budget ($M) Sustainable Budget ($M) Deficit ($M) Impact Rate Programs Water (12) 12% Sanitary (4%) Storm (19) 19% Levy Programs Roads (41) 8% Waste Management 50 27* 37 (10) 2% Facilities & Open Spaces (8) 2% Transit (8) 2% Fleet (13) n/a * excludes SWMMP initiatives
28 Household Daily Cost Coffee & Bagel Milk Fleet Facilities & Open Spaces Transit Waste Mgt Roads Storm Wastewater Water $/day Current Daily Cost per Household Sustainable Daily Cost per Household
29 Questions?
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