TDOT Traffic Count Program Review Preston Elliott KCI

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TDOT Traffic Count Program Review Preston Elliott, KCI & KB Aboagye, TDOT

TDOT Traffic Count Program Review Preston Elliott, KCI & KB Aboagye, TDOT

 Review of Current Count Program Project Scope Internal and External Outreach Review of

Review of Current Count Program Project Scope Internal and External Outreach Review of Surrounding and Peer State Practices Needs and Recommendations

Review of Current Count Program Procedures and manuals Collection schedule (required and typical) Collection

Review of Current Count Program Procedures and manuals Collection schedule (required and typical) Collection scope (geography, functional class, etc. ) Project Scope Collection methods (ATR, EDL, CC, etc. ) Types of data (volume, vehicle classification, travel time, occupancy, multimodal, etc. ) Users (internal and external) Responsibility (staff, consultant, etc. ) Current quality assurance methods Processing, final format, and storage

Project Scope Internal and External Outreach Interview TDOT’s internal partners (Long. Range Planning, Traffic

Project Scope Internal and External Outreach Interview TDOT’s internal partners (Long. Range Planning, Traffic Operations, STID, etc. ) Interview external partners (MPOs and RPOs) Online survey for other partners (municipalities, universities, professional organizations, etc. )

Review of Surrounding and Peer State Practices Project Scope Currently looking at: Ohio Oregon

Review of Surrounding and Peer State Practices Project Scope Currently looking at: Ohio Oregon Minnesota Florida

Needs and Recommendations Project Scope Additional data needs, requests, and wants Real-time data, emerging

Needs and Recommendations Project Scope Additional data needs, requests, and wants Real-time data, emerging technologies, etc. Partnering with MPO data collection efforts and other municipalities Statewide guidance for traffic collection

Findings To-Date Internal Engagement In general, TDOT: Is amenable to data sharing with partners

Findings To-Date Internal Engagement In general, TDOT: Is amenable to data sharing with partners Needs standardized methodologies throughout the program: How to collect traffic data for sharing purposes? How to choose/prioritize new count locations? How to collect WIM data statewide? How to improve vehicle classification counts? Has challenges associated with meeting HPMS sampling requirements

Findings To-Date External Engagement In general, MPO partners: Have a strong understanding of the

Findings To-Date External Engagement In general, MPO partners: Have a strong understanding of the availability and usefulness of TDOT data Primarily use TDOT’s AADT and crash data Are willing to share locally collected data Need more data on Federal and State routes Are very interested in turning movement counts Desire more communication regarding count station removal/addition and count timing

Findings To-Date Data Analysis ~12, 500 Count Stations 600 Interstates 5, 100 Arterials 6,

Findings To-Date Data Analysis ~12, 500 Count Stations 600 Interstates 5, 100 Arterials 6, 800 Collectors

Data Analysis Findings To-Date 20% 35% 14% 9% 16% 7%

Data Analysis Findings To-Date 20% 35% 14% 9% 16% 7%

Data Analysis Findings To-Date

Data Analysis Findings To-Date

Count Stations by 2018 Population and Employment 1000 Shelby 900 Findings To-Date Data Analysis

Count Stations by 2018 Population and Employment 1000 Shelby 900 Findings To-Date Data Analysis 800 700 Hamilton 600 500 Davidson Knox 400 300 200 100 0 - 200, 000 400, 000 2018 Population 600, 000 800, 000 2018 Employment 1, 000

Count Stations by 20 -Year Historic Growth 200% 20 -Year Historic Growth Findings To-Date

Count Stations by 20 -Year Historic Growth 200% 20 -Year Historic Growth Findings To-Date Data Analysis 150% Williamson 100% Rutherford 50% 0% Shelby Hamilton 0 200 400 600 800 1000 -50% -100% Number of Count Stations 20 -Year Historic Population Growth 20 -Year Historic Employment Growth

Count Stations by Miles of Functionally Classified Roadways Shelby 900 Number of Count Stations

Count Stations by Miles of Functionally Classified Roadways Shelby 900 Number of Count Stations Findings To-Date Data Analysis 1000 800 700 Hamilton 600 Davidson 500 Knox 400 300 Marshall 200 100 0 Maury - 200 400 600 800 1, 000 1, 200 Miles of Functionally Classified Roadways 1, 400 1, 600

Data Analysis Findings To-Date Maury County 9 th Most Classified Miles 16 th Highest

Data Analysis Findings To-Date Maury County 9 th Most Classified Miles 16 th Highest Population 18 th Highest Employment 65 th Highest # of Count Stations Madison County 11 th Most Classified Miles 15 th Highest Population 11 th Highest Employment 41 st Highest # of Count Stations Marshall County 58 th Most Classified Miles 47 th Highest Population 48 th Highest Employment 8 th Highest # of Count Stations

External Outreach Plan TNMUG Group Discussion Additional Outreach with MPOs, RPOs, and Municipalities Online

External Outreach Plan TNMUG Group Discussion Additional Outreach with MPOs, RPOs, and Municipalities Online Survey for Key Industry Partners (ACEC, TSITE, TAPA, universities, etc. ) and for Cities and Counties

 Beyond current data collected, what is your priority for the following: Vehicle Classification

Beyond current data collected, what is your priority for the following: Vehicle Classification Travel Time Discussion Items for Today Turning Movement Counts Occupancy Weigh-in-Motion Relative to TDOT’s traffic data, what are your thoughts/opinions on coverage, frequency/duration, quality, etc. ? Do you know of any count programs conducted by local municipalities within your planning areas? Other thoughts/comments on this topic?