Southeast Michigan Council of Governments Developing Regional Solutions.
Southeast Michigan Council · 12/25/2014 · Webinar Thursday, April 29, 2010 Southeast Michigan...
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1 Chade Saghir Chade Saghir Senior Transportation Planner Senior Transportation Planner Southeast Michigan Council of Governments Southeast Michigan Council of Governments Travel Model Improvement Program Travel Model Improvement Program Webinar Webinar Thursday, April 29, 2010 Thursday, April 29, 2010 Southeast Michigan Council Southeast Michigan Council of Governments State of the of Governments State of the art Traffic Count Program art Traffic Count Program •4.8 million people •4 million vehicles/ 3.4 million drivers •140 million annual vehicle miles traveled •23,000 miles of road (~700 congested miles) •3,560 bridges (2,880 deficient) •27.5 million vehicles crossing our borders annually Oakland Livingston Macomb St. Clair Wayne Washtenaw Monroe SEMCOG SEMCOG
Transcript of Southeast Michigan Council · 12/25/2014 · Webinar Thursday, April 29, 2010 Southeast Michigan...
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Chade Saghir Chade Saghir Senior Transportation Planner Senior Transportation Planner Southeast Michigan Council of Governments Southeast Michigan Council of Governments
Travel Model Improvement Program Travel Model Improvement Program Webinar Webinar Thursday, April 29, 2010 Thursday, April 29, 2010
Southeast Michigan Council Southeast Michigan Council of Governments State of the of Governments State of the
art Traffic Count Program art Traffic Count Program
•4.8 million people •4 million vehicles/ 3.4 million drivers •140 million annual vehicle miles traveled •23,000 miles of road (~700 congested miles) •3,560 bridges (2,880 deficient) •27.5 million vehicles crossing our borders annually
Oakland Livingston
Macomb
St. Clair
Wayne Washtenaw
Monroe
SEMCOG SEMCOG
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Michigan Department of Transportation (MDOT) PTR; MITSC; Short Count
County Road Commissions City of Detroit Other Cities Consultants
Road Commission for Oakland County (RCOC)
SCATS SOURCES
Process MDOT counts with MDOT Count Importer which puts them into TCDS format
PROCESSES
Process using Seasonal Adjustment Factor Program to develop adjustment factors SCATS
Process using Seasonal Adjustment Factor Program to develop adjustment factors using SEM PTR’s
Regional Traffic Count Database (RTCD)
Update Traffic Volume Map to current year
Update traffic count lookup tool on web
Run validation checks Apply Seasonal Factors to RTCD
PRODUCTS
Update HPMS AADT VMT Trends Analysis Update Transportation Resource Tool
QA/QC
Model Validation File
P P r r e e s s e e n n t t a a t t i i o o n n
O O v v e e r r v v i i e e w w
Traffic Count Database
System (TCDS)
Model Validation File Creator
SEMCOG’s State of the Art SEMCOG’s State of the Art Traffic Count Program Traffic Count Program
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• • No consistency in count data format No consistency in count data format • • No central database for storing counts No central database for storing counts • • No efficient procedure for linking counts No efficient procedure for linking counts with model with model
• • No way to determine if counts sufficient No way to determine if counts sufficient for validation for validation
Challenges Challenges
• • Create regional traffic count database Create regional traffic count database (RTCD) (RTCD) – – Central repository for all counts Central repository for all counts – – Source of counts for model, other apps Source of counts for model, other apps
• • Create automated procedure for linking Create automated procedure for linking counts with model counts with model
• • Use power of GIS (linear referencing) Use power of GIS (linear referencing)
Solutions Solutions
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• • Transferring data from multiple sources Transferring data from multiple sources into common format into common format – – Michigan Department of Transportation Michigan Department of Transportation (MDOT) (MDOT)
– – Local agencies (counties, cities) Local agencies (counties, cities) • • Developing RTCD database structure Developing RTCD database structure • • Coding counts with GIS attributes Coding counts with GIS attributes
RTCD Development Issues RTCD Development Issues
• • Software features Software features – – Web Web based, friendly user interface based, friendly user interface – – Direct uploading from traffic counters Direct uploading from traffic counters – – Logical relational database structure Logical relational database structure – – QA/QC Numerous quality control measures QA/QC Numerous quality control measures
• • Provides SEMCOG easy access to counts Provides SEMCOG easy access to counts from all seven counties, Detroit from all seven counties, Detroit
Traffic Count Database Traffic Count Database System (TCDS) System (TCDS)
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Before
Wayne Wayne
Oakland Oakland
Macomb Macomb
Washtenaw Washtenaw
St. Clair St. Clair
Monroe Monroe
Livingston Livingston
City of Detroit City of Detroit
TCDS TCDS
SEMCOG SEMCOG
PEEK PEEK
ADM ADM
LOTUS LOTUS MS ACCESS MS ACCESS
EXCEL EXCEL
PAPER PAPER
VMS VMS RBASE RBASE
After
Wayne Wayne
Oakland Oakland
Macomb Macomb
Washtenaw Washtenaw
St. Clair St. Clair
Monroe Monroe
Livingston Livingston
City of Detroit City of Detroit
TCDS TCDS Traffic Traffic Count Count Database Database System System
SEMCOG SEMCOG
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• • Oracle database with three primary tables: Oracle database with three primary tables: – – Count location descriptions Count location descriptions – – Counts Counts – – GIS (linear referencing) coding GIS (linear referencing) coding
• • Number of records in database Number of records in database – – Locations: Locations: 29,647 29,647 – – Total counts available: Total counts available: 96,849 96,849
SEMCOG’s Regional Traffic SEMCOG’s Regional Traffic Count Database (RTCD) Count Database (RTCD)
• • Challenges Challenges – – Understanding MDOT’s count program Understanding MDOT’s count program – – Three types of data: PTR, ITS, short counts Three types of data: PTR, ITS, short counts – – Different data format for each type Different data format for each type
• • Solution: MDOT data conversion tool Solution: MDOT data conversion tool – – Converts all data into common format Converts all data into common format – – Flags “representative” PTR, ITS counts Flags “representative” PTR, ITS counts
Importing MDOT’s Traffic Importing MDOT’s Traffic Count Data Count Data
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MDOT Data Conversion Tool MDOT Data Conversion Tool
Seasonal Factor Development Seasonal Factor Development
Seasonal Factors Seasonal Factors By Year By Year By Month By Month By Day of Week By Day of Week
AADT AADT AWDT AWDT
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Traffic Count Database Traffic Count Database System (TCDS) System (TCDS)
T T C C D D S S
S S c c r r e e e e n n S S h h o o t t
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T T C C D D S S
S S c c r r e e e e n n S S h h o o t t
T T C C D D S S
S S c c r r e e e e n n S S h h o o t t
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SCATS Traffic Signal System
• •Traffic Count Data Traffic Count Data • •By approach By approach • •By lane By lane • •Back logged to 2006 Back logged to 2006
SCATS Traffic Signal System
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SCATS Traffic Signal System
• •Location Information Location Information
• •Volume Counts Volume Counts
• •AADT AADT
• •Volume Trends Volume Trends
SCATS Traffic Signal System
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AADT • •AADT AADT
AADT
Seasonal Factors Seasonal Factors by Month by Month by Day of Week by Day of Week
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Model Validation Model Validation
• • Purpose of Program Purpose of Program – – Choose Best Count Choose Best Count – – Counts Needed Counts Needed
• • Business Rules Business Rules – – Closest date to validation year Closest date to validation year – – 15 min over 60 min 15 min over 60 min – – Directional over two way Directional over two way – – Shortest Distance Away from center of model link Shortest Distance Away from center of model link
Model Validation File Model Validation File Creator Creator
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Model Validation File Model Validation File Creator Creator
Model Validation File Model Validation File Creator Creator
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Other Products and Other Products and Analysis Analysis
• • HPMS volume updates HPMS volume updates • • Traffic Volume Map Traffic Volume Map • • SEMCOG’s Transportation Data Map SEMCOG’s Transportation Data Map • • VMT Trends Analysis VMT Trends Analysis
Other TCDS Applications Other TCDS Applications
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• • HPMS volume updates HPMS volume updates – – Using TCDS communities know what Using TCDS communities know what HPMS samples need to be counted. HPMS samples need to be counted.
– – Direct link from TCDS to HPMS database Direct link from TCDS to HPMS database
HPMS Volume Update HPMS Volume Update
T T r r a a f f f f i i c c
V V o o l l u u m m e e
M M a a p p
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• • SEMCOG’s Transportation Data Map SEMCOG’s Transportation Data Map – – Public access to all counts SEMCOG Public access to all counts SEMCOG collects. collects.
– – Both can search using a map or using a Both can search using a map or using a search tool. search tool.
– – Cuts down on traffic count requests from the Cuts down on traffic count requests from the public. public.
– – WWW.SEMCOG.ORG WWW.SEMCOG.ORG
Transportation Data Map Transportation Data Map
www.semcog.org
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Regional VMT Trends Regional VMT Trends • • Evaluate economic impact on the traffic Evaluate economic impact on the traffic • • Verify HPMS estimation Verify HPMS estimation • • Calibrate the travel model Calibrate the travel model
Regional VMT Trends Regional VMT Trends • • Using travel model as a benchmark to Using travel model as a benchmark to expand the RTCD annual counts to the expand the RTCD annual counts to the region region
• • Using volume difference between model Using volume difference between model and counts to estimate regional VMT and counts to estimate regional VMT
• • Results were weighed by county and facility Results were weighed by county and facility type type
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Regional VMT Trends Regional VMT Trends
1.800
1.900
2.000
2.100
2.200
2.300
2.400
110.0
115.0
120.0
125.0
130.0
135.0
140.0
145.0
2002 2003 2004 2005 2006 2007 2008 2009
Waged Employment (millions)
Observed AW
DT V
MT (m
illions)
Southeast Michigan Observed VMT and Employment
AWDT Observed Total Waged Employment
* Model VMT for years model years 2002,2005,2007,2009.
• • Cutline Cutline • • External Station External Station • • Corridor Counts Corridor Counts • • HPMS universe data HPMS universe data
2010 Data Collection 2010 Data Collection Initiatives Initiatives
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• • Establishing data formatting consistency Establishing data formatting consistency • • Effective communication, coordination Effective communication, coordination with local agencies and MDOT with local agencies and MDOT
• • Establishing data quality controls Establishing data quality controls throughout process throughout process
• • Finding innovative ways to collect count Finding innovative ways to collect count data (SCATS signals) data (SCATS signals)
• • Automating tasks wherever possible Automating tasks wherever possible
Final Notes Final Notes
Michigan Department of Transportation (MDOT) PTR; MITSC; Short Count
County Road Commissions City of Detroit Other Cities Consultants
Road Commission for Oakland County (RCOC)
SCATS SOURCES
Process MDOT counts with MDOT Count Importer which puts them into TCDS format
PROCESSES
Process using Seasonal Adjustment Factor Program to develop adjustment factors SCATS
Process using Seasonal Adjustment Factor Program to develop adjustment factors using SEM PTR’s
Regional Traffic Count Database (RTCD)
Update Traffic Volume Map to current year
Update traffic count lookup tool on web
Run validation checks Apply Seasonal Factors to RTCD
PRODUCTS
Update HPMS AADT VMT Trends Analysis Update Transportation Resource Tool
QA/QC
Model Validation File
P P r r e e s s e e n n t t a a t t i i o o n n
O O v v e e r r v v i i e e w w
Traffic Count Database
System (TCDS)
Model Validation File Creator
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Contact Information Contact Information
Chade Saghir Chade Saghir Senior Transportation Planner Senior Transportation Planner [email protected] [email protected]
Southeast Michigan Council of Governments Southeast Michigan Council of Governments 535 Griswold, Detroit MI 48226 535 Griswold, Detroit MI 48226 www.semcog.org www.semcog.org
Travel Model Improvement Program Travel Model Improvement Program Webinar Webinar Thursday, April 29, 2010 Thursday, April 29, 2010
