Monitoring Highway Assets with Remote Technology

Transcription

1 Monitoring Highway Assets with Remote Technology For the Michigan Department of Transportation July 2013 DYE MANAGEMENT GROUP, INC.

2 Project Scope Summary of Technologies Aerial Imagery with LiDAR Mobile Imaging/Photologging Outline Manual Data Collection Pilot Project Overview & Results Comparisons Between Methods Moving Forward 2 DYE MANAGEMENT GROUP, INC.

3 Project Scope MDOT s decline in resources necessitates that asset location, quantity, and condition information be efficiently and effectively monitored Explore remote technologies for inventory collection Potential benefits Lowering costs Decreasing worker exposure 27 assets provided by MDOT for collection Pilot route in MDOT s Southwest Region 3 DYE MANAGEMENT GROUP, INC.

4 Technology and Tools Based on literature review and Research Advisory Panel feedback, chose technologies for 150 mile pilot study: Aerial Imagery w/lidar Mobile imaging/photologging Manual data collection with handheld GPS 4 DYE MANAGEMENT GROUP, INC.

5 Methodology 5 mile tech overlap for data validation Conducted pilot project to demonstrate procedures for data collection Yellow Manual Blue Aerial LiDAR Purple Photolog 5

6 Pilot Process Measured 27 asset types using combination of 3 technologies Recorded location of assets Performed QC/QA Quality Control Validate results from each technology against results from manual data collection Quality Assurance Compare collected data from each technology to MDOT inventory of route, where available Loaded pilot data into existing MDOT enterprise GIS Conducted a benefit cost analysis using validated data collection costs 6 DYE MANAGEMENT GROUP, INC.

7 Aerial Imagery with LiDAR Collected inventories on 17 MDOT highway assets over 50 centerline miles Asset Summarized Results Total lane miles Concrete surface lane miles 6.76 Bituminous surface lane miles Paved shoulder miles Gravel shoulder miles Curb miles Number of sweepable approaches 50 Linear feet of guardrail 46,034 Number of guardrail endings 259 Number of catch basins 640 Ditch miles 8.24 Linear feet of existing ROW fence 13,237 Mowable acres Number of delineators 229 Number of signals 164 Number of signs 1,335 Number of attenuators 99 7

8 Aerial Imagery with LiDAR Advantages: Eliminates worker exposure Creates safer roadway Collect data once; used by many Fastest data collection Disadvantages: Data collection perspective 900 above assets 8

9 Mobile Imaging Automatic Road Analyzers (ARAN) 9 Images captured approximately every 20 feet Collected inventories on 17 MDOT highway assets over 47.5 centerline miles Asset Summarized Results Total lane miles Concrete surface lane miles Total concrete lane miles = Average concrete lane width (feet) = Bituminous surface lane miles Total asphalt lane miles = Average asphalt lane width (feet) = Paved shoulder miles Gravel shoulder miles Curb miles 9.38 Number of sweepable approaches 115 Linear feet of guardrail 31,194 Number of guardrail endings 150 Number of catch basins 135 Ditch miles Linear feet of existing ROW fence 36,606 Mowable acres Number of delineators 952 Number of signals Signals = 67 Lights on signals = 138 Number of signs 1675 Number of attenuators 0

10 Advantages: Mobile Imaging - ARAN Collect images once; used by many Less time required compared to manual collection Collected from vehicle at highway speeds Reports height, width, and depth of assets Disadvantages: Inability to gather inventory data on assets not easily visible from driving lanes (e.g. culverts) Difficulties capturing mowable area measurements 10

11 Mobile Imaging w/lidar Mobile Asset Collection (MAC) Vehicle using mobile LiDAR and ROW imaging Collected inventories on 17 MDOT highway assets over 47.5 centerline miles Asset Summarized Results Total lane miles Concrete surface lane miles Bituminous surface lane miles Paved shoulder miles Gravel shoulder miles 4.42 Curb miles Number of sweepable approaches 1,211 Linear feet of guardrail 28,403 Number of guardrail endings 123 Number of catch basins 379 Ditch miles Linear feet of existing ROW fence 156,229 Mowable acres Number of delineators 710 Number of signals 141 Number of signs 1,354 Number of attenuators 46 11

12 Mobile Imaging with LiDAR - MAC 12 Advantages: Collect images once; used by many Less time required compared to manual collection Collected from vehicle at highway speeds Reports height, width, and depth of assets Disadvantages: Inability to gather inventory data on assets not easily visible from driving lanes (e.g. culverts) Difficulties capturing mowable area measurements Cost

13 Manual Data Collection 13 Completed on foot and from vehicle Uploaded data from GPS to GPX, Excel, and KMZ file formats Asset Count "A" miles (CL miles) 31.3 Attenuators (each) 0 Bituminous surface (lane miles) Bridge (each) 35 Catch basin (each) 399 Concrete surface (lane miles) Culvert (each) 393 Curb (miles) Delineator (each) 690 Designated snowmobile crossings (each) 0 Ditch (linear miles) Freeway light (each) 289 Gravel shoulder (miles) Guardrail (linear feet) 41,307 Guardrail ending (each) 72 Lineal feet of existing right-of-way (ROW) fence (feet) 129,334 Lineal feet of soundwall (feet) 0 Mowable acres (acres) Non-motorized trail (feet) 24,405 Paved shoulder miles (miles) Pump station (each) 0 Sign (each) 1007 Sweepable approach (each) 140 Total lane miles (miles) Tourist facilities (each) 1 Traffic signal (each) 356 Weigh stations (each) 0

14 Manual Data Collection Summary Advantages: Flexibility in collection specific location or entire route Close proximity to assets Can capture images from multiple angles as needed Report high priority work/safety issues observed Disadvantages Time to complete data collection Does not allow ability to review/reassess Worker exposure 14

15 5 Mile Overlap Analysis Conducted manual data collection, mobile imaging, and aerial LiDAR on same 5 mile stretch Used to verify accuracy of each technology 15

16 5 Mile Overlap Comparisons 16 Mobile Imaging Mobile Imaging w/lidar Correction Aerial Imaging w/lidar Correction Asset Manual Attenuators Bituminous lanes (miles) Concrete lanes (miles) Total lanes (miles) Catch basins Culverts (each) 88 N/A N/A N/A Curbs (miles) Delineators (each) Ditches (miles) Guardrails (linear feet) 2,496 2,581 2,472 3,051 Guardrail endings (each) 5 N/A Mowable acres (acres) Gravel shoulders (miles) Paved shoulders (miles) Total shoulders (miles) ROW fencing (linear feet) ,514 3,897 0 Signs (each) Sweepable approaches (each) Traffic signals (each)

17 Method Comparisons Mobile Imaging w/lidar Correction Aerial Imaging w/lidar Correction Item Manual Mobile Imaging Cost per mile $289 $369 $933 $900 Hours per mile* * Hours are specific to the pilot project; hours per mile would decrease based on number of miles involved 17 DYE MANAGEMENT GROUP, INC.

18 Final Research Report Develop an implementation plan: Guidance on the next steps for remote sensing technology implementation Training materials Cost estimates Suggested equipment and software 18 DYE MANAGEMENT GROUP, INC.

19 QUESTIONS? Tim Croze, P.E. Project Manager Michigan Department of Transportation Rob Zilay Vice President Dye Management Group DYE MANAGEMENT GROUP, INC.