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Iowa State University/CTRE NCRST-I Projects

Iowa State University/CTRE NCRST-I Projects. About CTRE. Center for Transportation Research and Education Iowa State University/CCE Interdisciplinary MS Transportation Midwest Transportation Consortium (USDOT) 80+ year partnership with Iowa DOT 75 projects/$4M budget. Team Philosophy.

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Iowa State University/CTRE NCRST-I Projects

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  1. Iowa State University/CTRE NCRST-I Projects

  2. About CTRE • Center for Transportation Research and Education • Iowa State University/CCE • Interdisciplinary MS Transportation • Midwest Transportation Consortium (USDOT) • 80+ year partnership with Iowa DOT • 75 projects/$4M budget

  3. Team Philosophy • Focus on DOT needs • Develop synergy with other projects • LRS, pavement management, GIS, crash systems, Asset management/GASB 34 • Build on TRB/Pecora typology/thesis • Applications • Technologies • Issues (cost, accuracy, resolution, temporal …) • Graduate Education/Extension (Outreach)

  4. Functions: Engineering Traffic Engineering Transportation Safety Maintenance Motor Vehicle Driver Services Motor Carrier Services Planning and Programming Program Management Project Planning Systems Planning Project Development Bridges and Structures Construction Contracts Design Materials Right of Way Street Addresses/911 Hydrology Land cover Land use Wells underground storage tanks wetlands driver data crash (crash, driver/ vehicle, injury) entrances reference points traffic and vehicle classification Boundaries (jurisdiction) markings and condition bridges/structures soils environment Cadastral Roadside features signs/ control devices speed limit/ no passing intermodal facility navigational waterways ports airports and runways drainage weight limits garages truck routes grade curve surface/structure crashes = f(land use) • Data: • resources (fuels, materials) • Adopt-a-Highway • RR crossing and traffic • clearances/size limits • deer kill • Cartography • Photogrammetry • Videolog • CAD - as builts • no. of lanes/ functional class • road/name/route • shoulder

  5. Functions: Engineering Traffic Engineering Transportation Safety Maintenance Motor Vehicle Driver Services Motor Carrier Services Planning and Programming Program Management Project Planning Systems Planning Project Development Bridges and Structures Construction Contracts Design Materials Right of Way Street Addresses/911 Hydrology Land cover Land use Wells underground storage tanks wetlands driver data crash (crash, driver/ vehicle, injury) entrances reference points traffic and vehicle classification Boundaries (jurisdiction) markings and condition bridges/structures soils environment Cadastral Roadside features signs/ control devices speed limit/ no passing intermodal facility navigational waterways ports airports and runways drainage weight limits garages truck routes grade curve WWW roadway weather conditions • Data: • resources (fuels, materials) • Adopt-a-Highway • RR crossing and traffic • clearances/size limits • deer kill • Cartography • Photogrammetry • Videolog • CAD - as builts • no. of lanes/ functional class • road/name/route • shoulder • surface/structure

  6. Functions: Engineering Traffic Engineering Transportation Safety Maintenance Motor Vehicle Driver Services Motor Carrier Services Planning and Programming Program Management Project Planning Systems Planning Project Development Bridges and Structures Construction Contracts Design Materials Right of Way Street Addresses/911 Hydrology Land cover Land use Wells underground storage tanks wetlands driver data crash (crash, driver/ vehicle, injury) entrances reference points traffic and vehicle classification Boundaries (jurisdiction) markings and condition bridges/structures soils environment Cadastral Roadside features signs/ control devices speed limit/ no passing intermodal facility navigational waterways ports airports and runways drainage weight limits garages truck routes grade curve Asset Management • Data: • resources (fuels, materials) • Adopt-a-Highway • RR crossing and traffic • clearances/size limits • deer kill • Cartography • Photogrammetry • Videolog • CAD - as builts • no. of lanes/ functional class • road/name/route • shoulder • surface/structure

  7. Functions: Engineering Traffic Engineering Transportation Safety Maintenance Motor Vehicle Driver Services Motor Carrier Services Planning and Programming Program Management Project Planning Systems Planning Project Development Bridges and Structures Construction Contracts Design Materials Right of Way Street Addresses/911 Hydrology Land cover Land use Wells underground storage tanks wetlands driver data crash (crash, driver/ vehicle, injury) entrances reference points traffic and vehicle classification Boundaries (jurisdiction) markings and condition bridges/structures soils environment Cadastral Roadside features signs/ control devices speed limit/ no passing intermodal facility navigational waterways ports airports and runways drainage weight limits garages truck routes grade curve GIS - Crash Location and Analysis • Data: • resources (fuels, materials) • Adopt-a-Highway • RR crossing and traffic • clearances/size limits • deer kill • Cartography • Photogrammetry • Videolog • CAD - as builts • no. of lanes/ functional class • road/name/route • shoulder • surface/structure

  8. Team Philosophy • Focus on DOT needs • Develop synergy with other projects • LRS, pavement management, GIS, crash systems, Asset management/GASB 34 • Build on TRB/Pecora typology/thesis • Applications • Technologies • Issues (cost, accuracy, resolution, temporal …) • Graduate Education/Extension (Outreach)

  9. From: Cowen, D.J. and J.R. Jensen, People and Pixels, 1998.

  10. Potential for RS Applications in Transportation

  11. Application n Type of Sensing Low Altitude Aerial Photography Application Time: Considerably faster than performing an O/D study or manual counts. No driver disruption. Cost: For peak hour model, cost of one flight during peak period Availability: Off the shelf technology, pictures can be taken every 15 minutes Ease of use: photos will need to be manually interpreted Accuracy: Images can be blown up in order to see vehicles, resolution & scale not really a concern for counting vehicles Applicability: Could have other uses although not corrected for distortions or scale Labor: Less labor intensive than previous ways Calibrate/ Validate Planning Models Issues

  12. ISU/CTRE Stakeholders • Iowa DOT/MTC match @1/3 • Local IDOT Steering Committee • Photogrammetry • GIS Coordinator • Research/Videolog • Ian MacGillivray • IDOT Research/Engineering Director • Steering Committee • Speaker at DC conf

  13. ISU/CTRE Team • R. Souleyrette, PI • 12 years (UNLV Nuke Waste/ISU GIS-T) • TRB GIS-T, Iowa DOT GIS • S. Hallmark, PM • Assistant Professor of Civil Engineering • PhD GaTech • LRS, safety, vehicular dynamics, air quality • 3 MS students (2 CE, 1 Trans)

  14. ISU/CTRE Projects • Access Management • Pavement and Marking Condition • Infrastructure Point Features/LRS Control

  15. Project #1: Access Management

  16. Access Management • Balance access and mobility • Improve traffic flow and safety • Local issue … businesses • Rural issue … safety

  17. Safety Impact of Access Control 1 Mile = 1.60943 Kilometers Source: Garber & Hoel 1999

  18. The Problem • US Crash cost $150B+ per year (NHTSA) • System-wide crash data now available • No comprehensive inventory available • On-road data collection is resource intensive source: http://www.fhwa.dot.gov/////realestate/am_mich.pdf

  19. Access roads Presence Configuration Driveways Number Dimensions Frequency Continuity Vertical grade Medians Type Length Turn lanes Length Material Intersections Proximity Frequency Access Related Data Elements

  20. The Opportunity • Correlate access w/crash history • Determine relationships • Identify hot spots • Identify system deficiencies

  21. Research Approach • Identify features of interest • Collect ground truth • Extract features from imagery (quantitative) • Estimate quality of access (qualitative) • Correlate measures with crash rates • Determine quality of data required to support analysis • Work with partners on machine-assisted extraction

  22. Sample Imagery

  23. Project #2: Pavement and Marking Condition

  24. Pavement Condition - The Problem • Pavement/shoulder type • Inventory element • Safety concern • Pavement condition assessment • Input to pavement management system • Requires field data collection • Pavement condition analysis • Visual inspection/expert judgment is subjective • PMIS data collection is expensive

  25. Research Approach: Pavement Condition Evaluation • Identify measures obtainable from imagery • Cracks (by type) • Pavement type • Rutting (LIDAR?) • Validate (IPMP Roadware Van) • Benefit-cost analysis

  26. Pavement Markings - The Problem • Pavement markings • Wear out variably • Replaced on regular basis, or on “complaint” • Marking program not directly dependent on condition • Remaining life is unknown • Maintenance expense

  27. Research Approach - Pavement Marking Condition • Evaluate spatial, spectral, temporal and radiometric requirements • Current marking visibility • Retro-reflectivity (surrogate measures?) • Remaining life • Buffer vectors to reduce computational requirements of hyperspectral (subpixel analysis) • Test available data and specify requirements • Evaluate benefit of a systematic method

  28. Project #3: Infrastructure Point Features/LRS Control

  29. The Problem/Opportunity • DOTs have huge spatial datasets and many LRMs • NCHRP 20-27 LRS model (Vonderohe/Adams) • LRS relates methods • Iowa is early implementer • Inventory of large systems is expensive • 110,000 miles of road in Iowa

  30. Iowa DOT LRS • LRS datum = anchor points and anchor sections • Control located using highly accurate methods (RTK GPS, etc.) • Pilot did not test satellite imagery from anchor point anchor section = 1164 m to anchor point L1 @195 m L1 @353 m L1 @604 m L1 @781 m L1 @908 m

  31. Pixel Roadway intersection Bridge abutments Drainage structures Railroad crossings Ramp gore point Sub-pixel? Signs Mileposts Utility access covers Telephone poles Point Infrastructure Elements

  32. Road Segment Approach • Evaluate ability to extract features based on resolution w/partner institutions • pixel/sub-pixel • image interpretation/machine assisted • Collect validation data (GPS) • Statistical comparison RS vs.GPS • Define resolution (SSTR) requirements • Benefit/cost analysis

  33. Potential Future Projects • Linear, areal and temporal features • Intersection sight distance • Elderly driver issues • Vegetation growth • Snow drifting/hydrology • Parking Inventory

  34. Questions/Suggestions?

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