Southeast Michigan Council of Governments Development of a
- Slides: 29
Southeast Michigan Council of Governments
Development of a Traffic Count Database for Travel Model Calibration Brian D. Mohr, Li-yang Feng, and Tom Bruff Southeast Michigan Council of Governments 11 th TRB Applications Conference Daytona Beach, FL May 7, 2007
*Detroit
SEMCOG Region Oakland Livingston St. Clair Macomb Communities: 234 Washtenaw Wayne Monroe Population: 4. 9 million Licensed drivers: 3. 4 million Annual VMT: 49 billion Miles of road: 23, 000
Presentation Overview Count source Regional traffic count database Travel model interface Model validation files
Challenges • No consistency in count data format • No central database for storing counts • No efficient procedure for linking counts with model • No way to determine if counts sufficient for validation
Solutions • Create regional traffic count database (RTCD) – Central repository for all counts – Source of counts for model, other apps • Create automated procedure for linking counts with model • Use power of GIS (linear referencing)
RTCD Development Issues • Transferring data from multiple sources into common format – Michigan Department of Transportation (MDOT) – Local agencies (counties, cities) • Developing RTCD database structure • Coding counts with GIS attributes
Traffic Count Database System (TCDS) • Software features – Web-based, friendly user interface – Direct uploading from traffic counters – Logical relational database structure – Numerous quality control measures • Provides SEMCOG easy access to counts from all seven counties, Detroit
Importing MDOT’s Traffic Count Data • Challenges – Understanding MDOT’s count program – Three types of data: PTR, ITS, short counts – Different data format for each type • Solution: MDOT data conversion tool – Converts all data into common format – Flags “representative” PTR, ITS counts
MDOT Data Conversion Tool
SEMCOG’s Regional Traffic Count Database (RTCD) • Oracle database with three primary tables: – – – Count location descriptions Counts GIS (linear referencing) coding • Number of records in database – – – Locations: 28, 080 Counts available for validation: 58, 750 Total counts available: 342, 049
GIS (Linear Referencing) Coding • Counts coded with LRS attributes from base map (route/milepoint system) • All SEMCOG transportation data coded • Counts coded as segments Every point ( ) on road network represented by two coordinates: route number, milepoint Every count location ( ) represented by three coordinates: route number, beginning milepoint, ending milepoint
Local agency counts (via TCDS) Other counts Regional Traffic Count Database (RTCD) MDOT counts (via conversion Tool)
Local agency counts (via TCDS) Other counts Regional Traffic Count Database (RTCD) MDOT counts (via conversion Tool) Travel model interface Model validation files
Model Validation File Creator • Required input – RTCD tables (locations, counts, GIS info) – Trans. CAD link definition table – Count alignment table – Desired statistical parameters • Output: data-based or model-based validation file
Two Types of Model Validation Files • Data-based – Links assigned counts wherever possible – Not a statistically sound validation file • Model-based (statistical sample) – Links stratified by geographic area and functional class, sample randomly selected – Only some links will have counts assigned
Model Validation File Creator
Model Validation File Creator
Matching Counts and Links Using Linear Referencing • Model links also coded with LRS attributes from GIS base map • Allows geographic comparison of count locations and model links
Multiple Counts at Same Location • Count attributes used to match counts with appropriate model links • Hierarchy of preferred counts developed • Examples of preferred counts – Counts taken in same year as model validation year – Directional counts – Counts with shorter intervals
Results • Entire process works successfully – Already used on 2002, 2005 highway networks in current model – Will be used soon with 2006 counts • RTCD data used in many transportation applications, including web data tool
www. semcog. org
Future Initiatives • Continue to improve count data quality • Append data from additional sources into RTCD • Fully automate importing of data into RTCD • Begin performing model validation with statistically generated sample of links
Keys That Made This Project Successful • Establishing data formatting consistency • Effective communication, coordination with local agencies and MDOT • Establishing data quality controls throughout process • Use of GIS (linear referencing) • Automating tasks wherever possible
Local agency counts (via TCDS) SEMCOG website Data-based validation files Other counts Regional Traffic Count Database (RTCD) MDOT counts (via conversion tool) Model Validation File Creator Model-based validation files Other transportation applications
Development of a Traffic Count Database for Travel Model Calibration Brian D. Mohr, Li-yang Feng, and Tom Bruff Southeast Michigan Council of Governments 11 th TRB Applications Conference Daytona Beach, FL May 7, 2007
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