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Data Collection Through New On- The-Road Technologies: The Need for Validation David Harkey University of North Carolina Highway Safety Research Center.

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Presentation on theme: "Data Collection Through New On- The-Road Technologies: The Need for Validation David Harkey University of North Carolina Highway Safety Research Center."— Presentation transcript:

1 Data Collection Through New On- The-Road Technologies: The Need for Validation David Harkey University of North Carolina Highway Safety Research Center Traffic Records Forum July 2003 Denver, Colorado

2 UNC Highway Safety Research CenterHighway Safety Information System Overview of Presentation uRoadway Inventory: Needs and Methods uMajor Missing Element: Alignment uHistory of Recent HSIS Efforts uResults from New HSIS Study uConclusions

3 UNC Highway Safety Research CenterHighway Safety Information System Roadway Inventories uInventory databases exists in all State DOTs uUsed for planning, operations and maintenance uRange of data elements sgeometrics (roadways, intersections and interchanges) straffic control/operations (segment speed limits, intersection TCD, signal timings)

4 UNC Highway Safety Research CenterHighway Safety Information System Roadway Inventory Collection uManual methods sIn-field acquisition (surveys, observational runs with DMI or GPS technology) sIn-office acquisition (video logs, aerial photos, satellite images) uAutomated Methods sInstrumented Vans (video logs, pavement conditions, sign inventory, geometrics)

5 UNC Highway Safety Research CenterHighway Safety Information System Alignment Data uVery few states have curvature and grade data uOnly 2 of the 9 HSIS states have good horizontal curvature data uKnown relationship between curvature and safety

6 UNC Highway Safety Research CenterHighway Safety Information System HSIS Research Focus uImprove upon the alignment data available for safety analyses uAutomated methods using instrumented vehicles ARAN - Automatic Roadway Analyzer Roadware Group, Inc.

7 UNC Highway Safety Research CenterHighway Safety Information System History of HSIS Efforts u1996/97 - MN Data Collection and Analysis s4 2-lane roads with 50+ curves over 21 miles sPoor Results - Consistency and Accuracy u1999 - Re-analysis of MN Data with algorithm developed for CT DOT sDramatic improvement in consistency and accuracy

8 UNC Highway Safety Research CenterHighway Safety Information System New HSIS Effort uEvaluate the CT DOT algorithm that uses ARAN data uRepeatability (Consistency) sbetween multiple runs on the same segment of roadway uAccuracy - Comparison to “ground truth” sAs determined from ground surveys

9 UNC Highway Safety Research CenterHighway Safety Information System Data Collection Tasks uSite Selection sapproximately 50 miles distributed by number of lanes and level of curvature uARAN Data Collection s5 passes in each direction on every route sazimuth data acquired every 4 meters uSurvey Alignments sCT DOT task from ground surveys segments

10 UNC Highway Safety Research CenterHighway Safety Information System Data Processing uHorizontal Curve Classification and Display System (PLV-HC Software) sDevelop alignments from raw data uMake post-processing adjustments sRemove unresolved (unknown) segments at the end of a run sConvert spirals to tangents and arcs (split the difference in length) sRemove “true” outliers (not be more than 1 in the group of 5 runs)

11 UNC Highway Safety Research CenterHighway Safety Information System PLV-HC Software

12 UNC Highway Safety Research CenterHighway Safety Information System PLV-HC Software

13 UNC Highway Safety Research CenterHighway Safety Information System PLV-HC Software

14 UNC Highway Safety Research CenterHighway Safety Information System Visual Confirmation uVideo log produced for each run uAllowed for the removal of induced curves

15 UNC Highway Safety Research CenterHighway Safety Information System Example Analysis (Rte 190) Initial Best-Fit Alignment Log Analysis 1 Log Analysis 2 Log Analysis 3 Log Validation 1 Rev Analysis 1 Rev Analysis 2_QC QC_Harkey QC_Van Dine Rev Validation 1 Rev Validation 2 Rev Analysis 3

16 UNC Highway Safety Research CenterHighway Safety Information System Example Analysis (Rte 190) Adjustment 1 - removal of unknowns (unresolved segments) Log Analysis 1 Log Analysis 2 Log Analysis 3 Log Validation 1 Rev Analysis 1 Rev Analysis 2_QC QC_Harkey QC_Van Dine Rev Validation 1 Rev Validation 2 Rev Analysis 3

17 UNC Highway Safety Research CenterHighway Safety Information System Example Analysis (Rte 190) Adjustment 2 - Conversion of Spirals to Arcs and Tangents Log Analysis 1 Log Analysis 2 Log Analysis 3 Log Validation 1 Rev Analysis 1 Rev Analysis 2_QC QC_Harkey QC_Van Dine Rev Validation 1 Rev Validation 2 Rev Analysis 3

18 UNC Highway Safety Research CenterHighway Safety Information System Example Analysis (Rte 190) Kappa Statistics for Log Direction 0.640.910.913 Analyses 0.510.830.892 Validations 0.660.870.913 Analyses + 2 Validations Kappa Statistics for Reverse Direction 0.830.850.873 Analyses 0.720.890.842 Validations 0.790.890.893 Analyses + 2 Validations 0.910.910.89Quality Control Analysis (H&Y) 0.910.930.92Quality Control Analysis (H&Y&D)

19 UNC Highway Safety Research CenterHighway Safety Information System Consistency Kappa Statistics u11 sites (22 sets of results - log and rev) uK > 0.90 9 sets u0.90 > K > 0.75 8 sets uK < 0.75 5 sets

20 UNC Highway Safety Research CenterHighway Safety Information System Example Analysis (Rte 190) Accuracy Assessment Log Analysis 1 Log Analysis 2 Log Analysis 3 Log Validation 1 Survey K = 0.92

21 UNC Highway Safety Research CenterHighway Safety Information System Accuracy Kappa Statistics u11 sites (log direction only) uK > 0.90 2 sites u0.90 > K > 0.75 4 sites uK < 0.75 5 sites

22 UNC Highway Safety Research CenterHighway Safety Information System Conclusions uAre the results consistent? s77 percent of the directional groups met the threshold uAre the results accurate? s55 percent of the sites met the threshold uNeither consistent nor accurate enough

23 UNC Highway Safety Research CenterHighway Safety Information System Conclusions uNeed to conduct individual arc analysis svariation in length and radius across multiple runs svariation in PCs and PTs sdifferences with survey results uCritical to validate the results of any automated data acquisition technology

24 UNC Highway Safety Research CenterHighway Safety Information System For the Latest Info Visit the HSIS web site www.hsisinfo.org


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