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

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

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!

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.

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

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”

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

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

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

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

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

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

Why locate against a road network

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

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

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

Monitoring Safety Projects  Monitor effectiveness of improvement  Use results for benefit-cost calculations

Analyzing Crash Sites

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

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