2009 Ohio GIS Conference
Presentation Abstract and Biography

An Example of a Successful State-Wide Enterprise GIS Program and its Impact upon Safety Data Systems

Jeremiah Glascock, TSASS, Inc.

With Traffic Safety Analysis Systems & Services for over four years acting as GIS program lead and currently the Crash Data and GIS Manager, Mr. Glascock has over four years experience with the integration of Linear Based Referencing Systems (LBRS) and non-LBRS base files for crash data location processing and is responsible for developing GIS / Web-based Mapping extensions to the Ohio Safety Information System (OSIS). To date, TSASS scrubs and locates 15 county and three Metropolitan Planning Organizations consisting of Mid-Ohio Regional Planning Commission , Lima-Allen Regional Planning Commission and Erie Regional Planning Commission; all which represent up to half of all crashes per year in the sate of Ohio. Mr. Glascock oversees day-to-day crash data scrubbing and location work on Ohio’s statewide crash data. In addition, Mr. Glascock has spoke at several national and local conferences on the importance of a comprehensive LBRS. As a NASA fellow, Mr. Glascock studied Civil Engineering, Surveying and Geomatics Engineering at The Ohio State University where he received his bachelor’s degree in 2006.

Ron Cramer, Digital Data Technologies, Inc.

A founder of Digital Data Technologies, Inc., Mr. Cramer assisted in the development of the company’s solutions for GIS and E9-1-1, and was a proud collaborator in the original pilot project for Ohio’s Location Based Response System (LBRS). To date, DDTI has successfully mapped more than 1.6 million address points and nearly 60,000 centerline miles to meet the high accuracy standards of the LBRS. Clientele across 12 states employ DDTI’s proven E9-1-1 solutions, and more than 30,000 users around the world have downloaded DDTI’s AccuGlobe GIS software.
Mr. Cramer is actively involved in intelligent transportation systems and was nominated and appointed to the ITS mid-America Executive Committee for the years 1997 to 2003. He has been a guest speaker at numerous conferences discussing topics related to GIS, emergency response location mapping and transportation engineering. Mr. Cramer has chaired the Urban and Regional Information Systems Association (URISA) Street Smart and Address Savvy Conference, which is now known as the URISA and NENA Addressing Conference. Mr. Cramer is a member of URISA, the National Emergency Number Association (NENA) and has affiliations with numerous other organizations. He has written feature articles that have appeared in The Ohio Engineer, Roads & Bridges, Illinois Engineer, Michigan Engineer, P.O.B. and Photo Electronic Imaging.
Mr. Cramer studied Civil Engineering and Computer Science at Michigan Technological University, and has a degree in Business from Eastern Michigan University.

Thursday, September 17, 2009 - 9:50 AM - Track 3

The goal of this presentation is to describe the LBRS Data Collection Methodology with respect to Ohio's successful state-wide enterprise GIS Program. We will discuss the many benefits to an LBRS system with respect to Traffic Safety Data.When created at these highest of standards, the data can enhance not only your inventory of roadway assets and address points, but it can provide a funding mechanism for your roadway safety needs enabling you to accurately locate crashes and determine high hazard locations; act as the foundation for reliable mapping in Next Generation E9-1-1 applications; streamline workflow via always accurate data at the fingertips of those who need it; Topics we will discuss: What compels local and county government to develop the Linear Referencing System data the DOT needs How the field-verified centerline and address data is maintained at the local level without versioning issues.Why you can expect to achieve crash data location success rates of 95% or better using an LBRS dataset.Why Ohio expects 100% return on a yearly basis from an estimated increase in its share of FHWA safety dollars.The convincing results when examining a side-by-side comparison of crash data processed with and without an LBRS dataset. How using accurate and complete LBRS data results in more efficient crash data processing and analysis.