network conflation experience- lessons learned (so far)
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Network Conflation Experience- Lessons Learned (so far). Jonathan Ehrlich Metropolitan Council. Existing Network. Why Conflate?. Accurate distances Realistic mapping Ability to add data from other sources Error-Checking. Timeline of Conversion. Tier3 Conflation Process. - PowerPoint PPT PresentationTRANSCRIPT
Network Conflation Experience- Network Conflation Experience- Lessons Learned (so far)Lessons Learned (so far)
Jonathan EhrlichJonathan EhrlichMetropolitan CouncilMetropolitan Council
Existing NetworkExisting Network
Why Conflate?Why Conflate?
Accurate distancesAccurate distances
Realistic mappingRealistic mapping
Ability to add data from other sourcesAbility to add data from other sources
Error-CheckingError-Checking
Timeline of ConversionTimeline of ConversionApril/May ’08April/May ’08 Approached by Tier3, sent highway Approached by Tier3, sent highway
networksnetworks
June ’08June ’08 Conflated Network (7-county) received Conflated Network (7-county) received from Tier3from Tier3
July-December ’08July-December ’08 Waiting for working Cube5 ProductWaiting for working Cube5 Product
January ‘09January ‘09 Add Ring CountiesAdd Ring Counties
February-April ‘09February-April ‘09 Debugging…Debugging…
Summer ’09Summer ’09 Release of 2009,2015,2020,2030 Release of 2009,2015,2020,2030 networksnetworks
FutureFuture Previous years, transitPrevious years, transit
Tier3 Conflation ProcessTier3 Conflation Process
Proof of Concept:Proof of Concept:– Conflation of Network for 7 CountiesConflation of Network for 7 Counties– Conflate TAZ Centroids using Control ModelConflate TAZ Centroids using Control Model– Conflation to NAVTEQ Street ProductConflation to NAVTEQ Street Product– Maintain all Demand Network Node Maintain all Demand Network Node
ConnectivityConnectivity– Use Core gConflate TechnologyUse Core gConflate Technology
Tier3 ProcessTier3 Process
Proprietary ProcessProprietary Process
AutomatedAutomated
Relative OffsetRelative Offset
Manual Conflation FixesManual Conflation Fixes
Logic ErrorsLogic Errors
Exposed Coding Bugs!Exposed Coding Bugs!
Find the Error?Find the Error?
Find the Error?Find the Error?
Find the Error?Find the Error?
Find the Error?Find the Error?
Need for More DetailNeed for More Detail
Need More Refined Coding Need More Refined Coding ConventionsConventions
Need More Refined Coding Need More Refined Coding ConventionsConventions
Continuing IssuesContinuing Issues
SoftwareSoftware– SpeedSpeed– Clumsy ToolsClumsy Tools
DataData– Navteq vs TLGNavteq vs TLG– Future “off”-network coding (i.e. HOT)Future “off”-network coding (i.e. HOT)– TransitTransit
Mileage ChangeMileage Change
2009 Network2009 Network LinksLinks MilesMiles
Pre-ConflationPre-Conflation 25,59625,596 16,16316,163
Post-ConflationPost-Conflation 25,77525,775 16,39916,399