Crash Data: How Kentucky Improved Their System Eric Green, MSCE, PE, GISP University of Kentucky Kentucky Transportation Center.

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Presentation transcript:

Crash Data: How Kentucky Improved Their System Eric Green, MSCE, PE, GISP University of Kentucky Kentucky Transportation Center

Improving Crash Data in Kentucky Traffic Records Committee (KTRAC) Crash Location Research Crash Query software Crash Mapping (GIS) Safety Circuit Rider Program HSM

KTRAC SAFETEA-LU Section 408 Programs to improve the timeliness, accuracy, completeness, uniformity, integration, and accessibility of traffic safety programs

Crash Locations Location, location, location GPS units issued to police in 2000 Evaluated accuracy of location data in 2004 –Recommendations made –Software developed

Paper Reports Submitted manually GPS from Magellan, Google® Maps, 911 system County, Route and Milepoint (CRMP) using reference system

Map Click

eCrash KYOPS MapIt Added October 1 st 2007 CRMP data linked to GPS Between/Intersect streets Searchable RT Unique: “034-US ”

9

Crash Locations Follow-up study in 2010 Investigated crash data since the MapIt system was added to eCrash

Crash Data Potted by Lat/Long

Crash Data plotted by Lat/Long Showing County Check

Conclusions and Recommendations 92% of all crashes were accurate compared to around 50% in the previous study Most of this improvement can be attributed to the implementation of the MapIt system in eCrash A large majority of incorrectly located were largely due to a lack of reference points The MapIt system currently requires user to know where they are on a map Identified errors should be investigated by KYOPS

Potential Improvements Aerial photos Integrated GPS receivers Reference log data –Mileposts, bridges, culverts, etc. Training –QC of location data Contact specific agencies or evaluate county data ‘Distance From’ glitch Edits to check for county and distance between CRMP and GPS

Critical Rate Calculator CRC

CRC Results

Buildup

Buildup – Results

Public Crash Website

Crash Results

Map Results

Secured Crash Website

Crashes by Type

Crash Densities 1 F = 12 PDO 1 I = 3 PDO

Safety Circuit Rider KY LTAP Stared in 2005 SCR: Todd Morrison –Retired engineer from KYTC D3 Technical assistance to counties and cities Safety improvement workshop Focus counties RSA

Safety Circuit Rider

Highway Safety Manual Science-based Combines predicted and actual crashes Doesn’t assume crashes are normally distributed 10 years in the making

Safety Performance Function Four-Lane Divided Road - Total Crashes Per Year

General Form of Prediction Methodology WHERE: N=predicted accidents per year (road segment or intersection) N base =predicted accidents per year - base conditions C=calibration factor - convert predicted accidents to local conditions AMF n =accident modification factor – adds effects of specific site situation to base conditions

Highway Safety Manual Safety Analyst FHWA-NHI : –Google search above –12 Hours –Free!

Questions? Eric Green, GISP, MSCE, PE Kentucky Transportation Center Research Engineer 140C Raymond Building University of Kentucky Lexington, KY Phone: (859)