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Ian Skinner

Crash information Systems Integrating geographical and statistical analysis for maximum benefit. Ian Skinner. Opening General Session. “Saving lives through data” Data driven approach Get good results Not wasting money. “Improve your data management”. “Your decisions based on data”.

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Ian Skinner

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  1. Crash information Systems Integrating geographical and statistical analysis for maximum benefit. Ian Skinner

  2. Opening General Session • “Saving lives through data” • Data driven approach • Get good results • Not wasting money • “Improve your data management” • “Your decisions based on data” • “Where is your data” • “Power of your data” • “Your data sells safety”

  3. What Helps Integrate Data • Solid Database Technology • Flexible Software • The Data Model • Flexible elements • X-element validation (crash, vehicle & person) • STATS19 (UK) compliance • MMUCC compliance • Geography • In this case the network!

  4. Locating a crash record • There are two primary methods for locating a crash record • Lat/Long co-ordinates • Road Location • Whichever method is used the user should consider what analysis needs to be performed.

  5. Why locate against a road network • It is the fundamental base of any transportation system • It is the real world situation • It is the way engineers think • It is the qualifier for analysis & queries • E.g. how many fatalities on Route 66 • It is used to integrate data • E.g. roadway characteristics • Allows improved analysis

  6. But I don’t have a network location Many Organizations are implementing GPS receivers to locate crash data. So how do you locate against a road network if you only have a Lat/Long? “The system should provide the ability to snap to the network”

  7. ? Simple snap to nearest network point User intervention when a crash location is ambiguous Snapping to a road network Tolerances modified when a crash lies beyond the road network

  8. Spatial display of crash records Crash records located against network Co-ordinate different Agencies! Integration with other data - Assets,Volumes, Speed zones

  9. Data display of crash records Produce reports of the Combined data View Crash records and other data against the network

  10. Network Based Analysis • Area Analysis • Analysis by county • Roads around schools • E.g. all 2 lane rural roadways • Route / Corridor Analysis • Bus routes • Cycle routes • Etc… • Moving Cursor Analysis • Intersection Analysis • Apply Date & Query Filters

  11. Group1 Group 2 Group 3 A road network improves analysis Buffer How far to search off centerline Threshold Number of crashes required to create a group 3 4 1 1 3 Increment How far to step each cursor (Note next cursor starts at end if previous cursor creates a group) Length of cursor • Connectivity facilitates cursors

  12. Group1 A road network improves analysis Buffer How far to search up intersections 5 Threshold Number of crashes required to create a group • Intersections can be Analyzed

  13. Why locate against a road network

  14. Updating Blackspot Sites Link all Documents, Photos and Videos Group Creation Information Crash Group Based On Automatic Refresh of Blackspot Groups

  15. Blackspot Site Detail Apply Priority Ranking Apply Date Bands to Monitor Blackspot

  16. Monitoring Blackspot Sites • Date bands applied to Safety Project • Auto-refresh when new crashes added

  17. Monitoring Safety Projects • Monitor effectiveness of improvement • Use results for benefit-cost calculations

  18. Analyzing Crash Sites

  19. Reverse Engineer Successful Work Analyze successful results & apply to mass action, area or corridor implementations • Set system date prior to work started • Full history is always maintained • Monitor causation factors • Signing / signaling • Guardrails & other relevant assets • Speed / environment • Roadway attributes / condition / construction • Generate database query based on causation factors & apply to road network

  20. Highways by Exor The world’s leading highways management system www.exorcorp.com

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