Gene V. Roe, Ph.D., P.E., PLS Managing Editor LiDAR News

NCHRP Geospatial Synthesis Project Use of Advanced Geospatial Data, Tools, Technologies, and Information in DOT Projects Social media – international exposure TRB Report yn_446.pdf yn_446.pdf

NCHRP Guidelines for the Use of Mobile LIDAR in Transportation Applications MPN Components, Inc. Persi Consulting

The Team Dr. Michael Olsen (OSU), PI Dr. Gene Roe (MPN Components) Dr. Craig Glennie (U of Houston), Co-PI Dr. Fred Persi (Persi Consulting) Marcus Reedy (DEA) Project officially began September Completed December 2012 The Timeline Dr. David Hurwitz (OSU) Keith Williams (OSU) Halston Tuss (OSU) Dr. Mike Knodler (Innovative Data) Anthony Squellati (DEA)

Transportation Asset Lifecycle

Presentation Overview Project Objectives and Motivation Establish Baseline Management Considerations  Applications  Level of Detail  Decision Flow Chart  Benefit\Cost  Implementation Plan Technical Considerations  Factors Affecting Accuracy  Data Management  Deliverables and Documentation

Project Objectives & Motivation Appropriate, intelligent mobile LIDAR use Cost effective adoption of mobile LIDAR Common basis for communication between data providers and users An easy-to-understand management-level approach, with guidance on quality management and specification of final deliverables

Objectives & Motivation – Cont’d. Adequate metadata and methods documentation Data management, storage, persistence and compatibility to ensure long term viability of captured datasets. Mobile LIDAR expertise not expected, but… Technology agnostic, yet relevant to existing COTS

Mobile LiDAR Guidelines - eLearning Extension TRB Report Website – see preview (maybe)  User Forum, Wiki, eLearning Modules and more Webinars – 3  The Guidelines, Management, Technical Online Courses – 5 modules  Overview, Tech/Apps, Procurement, Data Management, Quality Management

Where Would We Be Without Standards?

E Scope – Data Interoperability To develop and promulgate open, standard data exchange mechanisms for 3D imaging system - derived data in order to promote its widest possible use.

12 ASTM E57 Data Exchange Format ASTM E Standard Specification for 3D Imaging Data Exchange Not a working format All major vendors are supporting Extendable Reference implementation is available Goals – Cross-platform – Open source Foundation API – Comprehensive Simple API – Easy to use, designed for common use cases

LandXML and TransXML Data formats, not models LandXML is being moved to OGC; flavors TransXML – NCHRP 20 – 64 (2006) – XML Schemas for Exchange of Transportation Data developed a set of Extensible Markup Language (XML) schema for transportation applications in a framework called TransXML –

Master Vision – An Integrated Built Environment Data Model Scale - from the globe to your desk Not trivial – transformative change Many components including land, water, utilities, buildings, transportation 3D of course CityGML, LandXML building blocks Think BIG - Google

TDM – Transportation Data Model Focus on the transportation component Fertile ground – CAD and GIS being used to represent the same assets Borrow from BIM – changed the world Integrated CAD with database Lifecycle approach

Benefits of a Data Model Communication and precision are the two key benefits that make a data model important to applications that use and exchange data. Communicationprecision A data model is the medium which project team members from different backgrounds and with different levels of experience can communicate with one another. Precision means that the terms and rules on a data model can be interpreted only one way and are not ambiguous.

Centralized Spatial Data Management

Once in a Generation Opportunity Transitioning from 2D to 3D graphics world From linear referencing to Lat/Long (GPS) 10 year process – just in third year Maximize ROI – Utah DOT Asset Management Program (Stan Burns) BIG Idea – change the world Transformative change – status quo is not working – FHWA Every Day Counts

Utah DOT – “Good Roads Cost Less” Recently mapped the entire state – 6,000 + center lane miles Asset management primarily, but multiple groups supported effort Safety, maintenance and preservation Mobile LiDAR, video, laser road imaging, etc. Huge data management challenge UPLAN – Public planning platform -

A Path Forward Complex, painful, but rewarding Technical part is easy – it’s the will to change that is extremely hard TRB funded project to develop the transportation agency data model Tie into MAP-21 and Every Day Counts (FHWA) Could be tied to revenue generating model