ian skinner
DESCRIPTION
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”. - PowerPoint PPT PresentationTRANSCRIPT
1Ian SkinnerIan 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 66It is used to integrate data
E.g. roadway characteristicsAllows 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 AnalysisIntersection Analysis
Route / Corridor Analysis Bus routes
Cycle routes
Etc…
Apply Date & Query Filters
A road network improves analysis
Connectivity facilitates cursors
Group 3Group 2Group1
3
11
4
3
BufferHow far to search
off centerline
ThresholdNumber of crashes
required to create a group
Lengthof cursor
IncrementHow 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 BufferHow far to search up
intersections
ThresholdNumber of crashes
required to create a group
Why locate against a road network
Updating Blackspot Sites
Automatic Refreshof 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 ProjectAuto-refresh when new crashes added
Monitoring Safety Projects
Monitor effectiveness of improvementUse results for benefit-cost calculations
Analyzing Crash Sites
Reverse Engineer Successful Work
Analyze successful results & apply to mass action, area or corridor
implementationsSet system date prior to work started
Full history is always maintainedMonitor 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
Highways by ExorHighways by Exor
The world’s leading highways management system
www.exorcorp.com