Val Noronha University of California, Santa Barbara NCRST — Infrastructure Management.

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Presentation transcript:

Val Noronha University of California, Santa Barbara NCRST — Infrastructure Management

N C R S T Tri-states #2 What is NCRST  Funded under TEA-21, 1998  US DOT: Research & Special Programs Administration  Philosophy: rapid evolution of research into commercial products, practice  User consultation and outreach  Partnerships: industry, international

N C R S T Tri-states #3 Guiding Principles  Rapid evolution of basic research to deployment  Universities feed private sector: Technology Application Partners  Universities engage in consultation and outreach

N C R S T Tri-states #4 Four NCRSTs  Environment — Mississippi  Infrastructure — California  Flow — Ohio  Hazards — New Mexico

N C R S T Tri-states #5 GPCI NM  Fletcher Wisconsin  Vonderohe  Scarpace  Adams Iowa  Souleyrette  Hallmark  Andrle Florida  Shrestha  Degner  Tuell California  Goodchild  Church  [Estes]  Roberts  Manjunath  Gerges  Noronha Consortium Members

N C R S T Tri-states #6 Technology Application Partners  OrbImage — Terry Lehman  ASL TetraTech — Bill Lyte

N C R S T Tri-states #7 Steering Committee  Advisor: Chris Lee  Industry Earthdata — K Schuckman GDT — Don Cooke Intermap — Ron Birk Oracle — Xavier Lopez  State DOTs CA — Diane Pierzinski IA — Ian MacGillivray  Academic IN — Bill Black SC — John Jensen  ITS Research JPL — Bob Barrett ITS T 2 — Linda Howe  Feds FHWA — Roger Petzold USGS — Steve Guptill

N C R S T Tri-states #8 Outline  Directions  Research Projects  MidWest DOT Directions

D I R E C T I O N S

N C R S T Tri-states #10 How to impact Infra Management? Information* on location and condition of infrastructure assets is critical to effective management *data processed into information products used in decision making

N C R S T Tri-states #11 Research Production Line Problem Sensor Image processing Data integration Decision/solution Data management Needs analysis Sensor technology Image processing tech Analysis/process model Education & outreach Data models, communication

R E S E A R C H P R O J E C T S

N C R S T Tri-states #13 DOT Priorities — 1  Accurate centerline maps consistently identified as a high priority, by photogrammetry and IT staff in DOTs  Critical resource for ITS, EMS Highway management: integration of linear referenced archives with GPS

N C R S T Tri-states #14 Road Centerline Extraction  Find pixels that represent road … hyperspectral library  Detect linear patterns, form centerlines  Attach legacy attributes  Compare costs and benefits

Easy Street  New neighborhood  Little or no foliage overhang  Vehicles in garage/driveway

Not so easy  Repairs and surface coats  Paint stripes  Shadows  Parked vehicles  Foliage overhangs

N C R S T Tri-states #19 3-step hyperspectral process MESMAQ-treeVectorize Additional steps: clean, revisit, conflate

N C R S T Tri-states #20 Original image 6-band, 28m pixels Road map from Q-tree filter Desert Context — Landsat7

N C R S T Tri-states #21 Other centerline methods  RS is one of several components of the solution  Alternate technologies for (x,y) GPS Cell phone multi-path tracking Emerging technologies in ITS ?

N C R S T Tri-states #22 Error and Accuracy  Acceptable accuracy: 1mm or 10m?  Rural freeways vs urban intersections  Present vs future applications

N C R S T Tri-states #23 GPS for Hwy Ops  Hi end Lo end compatibility

N C R S T Tri-states #24 Low-end GPS units $250$195$150

N C R S T Tri-states #25 Lane Discrimination Test

N C R S T Tri-states #26 Lane Discrimination Test

N C R S T Tri-states #27 Lane Discrimination Test

N C R S T Tri-states #28 Lane Discrimination Test

N C R S T Tri-states #29 Lane Discrimination Test

N C R S T Tri-states #30 The one to beat … $150 at Staples  Convenience  Price  Can RS beat this?

N C R S T Tri-states #31 Big Picture Global scale — Logistics Local scale, esp urban — Asset mgmt

N C R S T Tri-states #32

N C R S T Tri-states #33

N C R S T Tri-states #34 Validation  Accuracy  Turnaround time  Cost  Client response  Developers’ response?

N C R S T Tri-states #35 © 1999 Val Noronha All rights reserved

N C R S T Tri-states #36

N C R S T Tri-states #37 Data Model unifies Centerlines

N C R S T Tri-states #38 DOT Priorities — 2  Program delivery is currently a high priority … require information to facilitate projects Integrated planning — construction costs, bridges, NIMBY, environment Large scale mapping surveys (1:500 to 1:5000)

N C R S T Tri-states #39 Corridor Analysis Alameda Corridor: rail line from port of Los Angeles and Long Beach to downtown Los Angeles

N C R S T Tri-states #40 Alameda Corridor Project  Corridor analysis tool  Rehabilitation of brown sites, redevelopment, facility siting  Manage growth

N C R S T Tri-states #41 DOT Priorities — 3  FHWA mandate: National Bridge Inventory requires bridge locations within ± 2 m  Wisconsin DOT request

N C R S T Tri-states #42 Current Bridge Record

N C R S T Tri-states #43 Bridge Location Solution  Overlay state DOT’s centerline on imagery of increasing resolution  BridgeView — ArcView extension  Adjust location manually  Update table with missing bridges

N C R S T Tri-states #45 DOT Priorities — 4

N C R S T Tri-states #46 Pavement Condition Survey

N C R S T Tri-states #47 Road Surface Modification

N C R S T Tri-states #48 DOT Priorities — 5 Access & Safety  $150b/yr crash loss  40% preventable by improving access  2-way left turn lanes  Traffic control  Pedestrian facilities

N C R S T Tri-states #49 3-D Applications  LIDAR: ± 30 cm DEMs  Uses 3-D Airport Approach Planning: FAA priority Planning a new corridor: saves 30% on map- survey effort Wireless tower location Hydrology Migration of coastlines

N C R S T Tri-states #50 3-D Airport Approach Planning

N C R S T Tri-states #53 DOT Priorities — 6  1/3 of California roads are not covered by police radio  Fiber/5.9 GHz network coming  GPS dropout areas  Locate towers so as to minimize cost, maximize coverage

N C R S T Tri-states #54 Interfaces & Tools Facilitate manual change detection by image flicker — red and green

N C R S T Tri-states #55 Interfaces & Tools Facilitate manual change detection by splitting the viewer

N C R S T Tri-states #56 Synthesis Task  Synthesis Report  Web page  Specialist meetings

N C R S T Tri-states #57 Entry points End points Application tree: e.g. highway — centerlines FAQ: focused questions Core curriculum: “tell me more about LIDAR” Matrix of user needs Glossary Bibliography Cookbooks Blurbs Professional Development by Web

N C R S T Tri-states #58 Events  CLEM2001: CenterLine Extraction and Maintenance, specialist meeting, August 6-7, Santa Barbara  TRB 2001  International workshop with Chinese University of HongKong, 2002

1

M I D W E S T D O T D I R E C T I O N S

N C R S T Tri-states #61 Directions  Where are we now?  Where do we want to go?  How to get there? 2001 action plan Beyond 2001