Exploring Non-Traditional Methods to Obtain Vehicle Volume and Class Data

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General Information
Study Number: TPF-5(384)
Lead Organization: Federal Highway Administration
Solicitation Number: 1465
Partners: AK, CA, CO, FHWA, GADOT, ID, IL, MDOT SHA, MN, NC, ND, NE, NJ, OH, OR, PADOT, SC, TX, VA
Status: Cleared by FHWA
Est. Completion Date:
Contract/Other Number:
Last Updated: Jul 17, 2018
Contract End Date:
Financial Summary
Contract Amount:
Total Commitments Received: $1,485,000.00
100% SP&R Approval: Approved
Contact Information
Lead Study Contact(s): Steven Jessberger
Steven.Jessberger@dot.gov
Phone: 202-366-5052
FHWA Technical Liaison(s): Steven Jessberger
Steven.Jessberger@dot.gov
Phone: 202-366-5052
Organization Year Commitments Technical Contact Name Funding Contact Name Contact Number Email Address
Alaska Department of Transportation and Public Facilities 2018 $50,000.00 Jill Melcher Anna Bosin (907)269-6208 anna.bosin@alaska.gov
Alaska Department of Transportation and Public Facilities 2019 $50,000.00 Jill Melcher Anna Bosin (907)269-6208 anna.bosin@alaska.gov
Alaska Department of Transportation and Public Facilities 2020 $50,000.00 Jill Melcher Anna Bosin (907)269-6208 anna.bosin@alaska.gov
California Department of Transportation 2019 $50,000.00 Afrid Sarker Sang Le 916-227-0701 sang.le@dot.ca.gov
Colorado Department of Transportation 2019 $50,000.00 Steve Abeyta David Reeves 303-757-9518 david.reeves@state.co.us
Federal Highway Administration 2018 $150,000.00 Steven Jessberger Steven Jessberger 202-366-5052 Steven.Jessberger@dot.gov
Georgia Department of Transportation 2020 $50,000.00 Eric Conklin Supriya Kamatkar 404-347-0552 skamatkar@dot.ga.gov
Idaho Department of Transportation 2019 $50,000.00 Margaret Pridmore Ned Parrish 208-334-8296 ned.parrish@itd.idaho.gov
Illinois Department of Transportation 2019 $50,000.00 William Morgan Megan Swanson 217-782-3547 Megan.Swanson@illinois.gov
Illinois Department of Transportation 2020 $50,000.00 William Morgan Megan Swanson 217-782-3547 Megan.Swanson@illinois.gov
Maryland Department of Transportation State Highway Administration 2018 $50,000.00 Carole Delion Allison Hardt 410-545-2916 ahardt@mdot.maryland.gov
Maryland Department of Transportation State Highway Administration 2019 $50,000.00 Carole Delion Allison Hardt 410-545-2916 ahardt@mdot.maryland.gov
Maryland Department of Transportation State Highway Administration 2020 $50,000.00 Carole Delion Allison Hardt 410-545-2916 ahardt@mdot.maryland.gov
Minnesota Department of Transportation 2018 $25,000.00 Gene Hicks Lisa Jansen 651-366-3779 lisa.jansen@state.mn.us
Minnesota Department of Transportation 2019 $25,000.00 Gene Hicks Lisa Jansen 651-366-3779 lisa.jansen@state.mn.us
Nebraska Department of Transportation 2020 $50,000.00 David Schoenmaker Jodi Gibson 402-479-4337 jodi.gibson@nebraska.gov
New Jersey Department of Transportation 2020 $50,000.00 Chris Zajac Chris Zajac Chris.Zajac@dot.nj.gov
North Carolina Department of Transportation 2019 $25,000.00 Kent Taylor Neil Mastin 919 707 6661 jmastin@ncdot.gov
North Carolina Department of Transportation 2020 $25,000.00 Kent Taylor Neil Mastin 919 707 6661 jmastin@ncdot.gov
North Dakota Department of Transportation 2018 $50,000.00 Terry Woehl Amy Beise 701-328-6921 abeise@nd.gov
Ohio Department of Transportation 2018 $50,000.00 Sandra Mapel General Research 614-644-8135 Research@dot.state.oh.us
Oregon Department of Transportation 2020 $10,000.00 Josh Roll Michael Bufalino 503-986-2845 Michael.Bufalino@odot.state.or.us
Pennsylvania Department of Transportation 2018 $50,000.00 Gregory Dunmire Heather Sorce 717-214-9508 hsorce@pa.gov
Pennsylvania Department of Transportation 2019 $50,000.00 Gregory Dunmire Heather Sorce 717-214-9508 hsorce@pa.gov
South Carolina Department of Transportation 2018 $100,000.00 Todd Anderson Terry Swygert 803-737-6691 SwygertTL@scdot.org
Texas Department of Transportation 2018 $25,000.00 Chris Didear Ned Mattila 512-416-4727 ned.mattila@txdot.gov
Texas Department of Transportation 2019 $25,000.00 Chris Didear Ned Mattila 512-416-4727 ned.mattila@txdot.gov
Texas Department of Transportation 2020 $25,000.00 Chris Didear Ned Mattila 512-416-4727 ned.mattila@txdot.gov
Virginia Department of Transportation 2018 $75,000.00 Hamlin Williams Bill Kelsh 434-293-1934 Bill.Kelsh@VDOT.Virginia.gov
Virginia Department of Transportation 2019 $75,000.00 Hamlin Williams Bill Kelsh 434-293-1934 Bill.Kelsh@VDOT.Virginia.gov

Study Description

Pavement embedded sensors such as loops and piezos, along with roadside-based radar/light devices and other fix point installed detection systems offer the most reliable traffic volume and classification data. However, it is also known that such point based traditional detection systems are expensive to install and operate. Over the last two decades, new technologies and new data seeming unrelated to vehicle travel have been explored successfully to characterize vehicle travel. It has been proven that such new passively collected data are successful in characterizing traffic patterns. One of the most successful initiatives is the National Performance Management Research Data Set (NPMRDS). The NPMRDS data, which is based on a wide range of non-traditional data, offers vehicle travel time on all the national highway systems in a timely manner and with great reliability, accuracy and precision.

Recent researches have also shown the potential and success of using passive data to decipher traffic volumes and other movement data such as origin destination data and modal share data. To promote further development and deployment of such advancements, the Federal Highway Administration is organizing a pooled fund effort with the objective of developing and deploying methods to collect vehicle volume data and classification data through the usage of passively collected data. The term of “passively collected data” means data are not collected through traditional roadway point based sensor detections.

The passive data-based non-traditional method, if validated, could reduce costs and improve efficiency for State Departments of Transportation (DOTs), Metropolitan Planning Organizations (MPOs), and local agencies to collect AADT including vehicle class data. It could also reduce risks to employees and contractors who go out to place sensor devices in and on the roadways.

Objectives

The objective of this pooled fund project is to develop and deploy methods and approaches to obtain vehicle volume and classification data with passively collected data.

Volume data refers to the annual average daily traffic (AADT) for all vehicles (both passenger and trucks) covering all roadway functional classes by traffic link or finer levels of segmentation with emphasis on functional classes of minor arterials, collectors, and local roads. Volume data on high volume urban interstates is also highly desired as there is a greater risk for collecting this data in these environments because maintenance of traffic is more expensive and these activities can disrupt normal traffic patterns.

Scope of Work

To achieve the objectives, this project will:

1) Develop non-traditional methods and approaches to collect and estimate AADT by vehicle type – all vehicles, trucks, passenger vehicles – based on passively collected data. Passenger vehicles include FHWA vehicle classes 1-3, and trucks include classes 4-13. If possible, trucks could be further categorized into buses and single-unit trucks (classes 4-7) and combination trucks (classes 8-13). Other attributes such as hourly profiles, day of week and month of year factors along with k-Factors will also be produced.

The methods and approaches shall be transparent to a degree that public trust can be established and both independent checking and validations can be performed. The methods and approaches shall facilitate governmental agencies in decision makings about calibrating, adopting or rejecting such methods and data with sufficient technical details.

2) Validate the AADT from the newly developed non-traditional methods with FHWA’s Travel Monitoring Analysis System (TMAS) data, Highway Performance Monitoring System (HPMS) data, and other ground truth sources to determine data accuracy and precision. The non-traditional AADT methods will be compared to both the FHWA and AASHTO AADT methods for computing AADT from short-term counts as well as participating State agency current approaches. The validation effort should include different vehicle classes and roadway functional class categories.

3) Provide levels of data accuracy and output formats from micro (e.g., a specific site) to macro (e.g., a specific functional class or a group of roads). Provide insights to improve data accuracy in future efforts.

4) The contractor is encouraged to offer incentives (e.g., reduced fee, additional data) for pooled fund members for future related services when such methods and approaches that are deemed statistically and scientifically sound. Pilot demonstration(s) of methods studied in earlier tasks for pooled fund members as funds are available.

Comments

Minimum contribution for any agency joining the pooled fund would be $50,000.

Any agency (DOT, MPO or other local agency) is welcome to participate.

A 100% SP&R waiver letter is expected.

Documents Attached
Title File/Link Type Private Download
TPF-5(384) Acceptance Letter TPF-5(384) Acceptance Letter.pdf Memorandum Public
1st Quarterly Report Fall 2018 Quarterly Progress Report Public
Summer 2019 Quarterly Report Quarterly Progress Report Public
Main Contractor 1st Quarter 2020 Main Contractor 2020 Q1 Report.pdf Quarterly Progress Report Public
Main Contractor 2nd Quarter 2020 Main Contractor 2020 Q2 Report.pdf Quarterly Progress Report Public
Main Contractor 3rd Quarter 2020 2020 Q3 Report.pdf Quarterly Progress Report Public
Validation Team 3rd Quarter Report - NREL NREL 2020 Qtr 3 Report.pdf Quarterly Progress Report Public
Validation Team 3rd Quarter Report - CS_TTI CS_TTI 2020 Qtr 3 Report.pdf Quarterly Progress Report Public
1st Quarter 2021 Quarterly Progress Report Public
2nd Quarter 2021 Non-Traditional AADT from Passive Data Sources 2nd Quarterly Report 2021.docx Quarterly Progress Report Public
3rd Quarter 2021 Non-Traditional AADT from Passive Data Sources 3rd Quarterly Report 2021.docx Quarterly Progress Report Public
4th Quarter 2020 Non-Traditional AADT from Passive Data Sources 4th Quarterly Report 2020.docx Quarterly Progress Report Public

Exploring Non-Traditional Methods to Obtain Vehicle Volume and Class Data

General Information
Study Number: TPF-5(384)
Lead Organization: Federal Highway Administration
Solicitation Number: 1465
Partners: AK, CA, CO, FHWA, GADOT, ID, IL, MDOT SHA, MN, NC, ND, NE, NJ, OH, OR, PADOT, SC, TX, VA
Status: Cleared by FHWA
Est. Completion Date:
Contract/Other Number:
Last Updated: Jul 17, 2018
Contract End Date:
Financial Summary
Contract Amount:
Total Commitments Received: $1,485,000.00
100% SP&R Approval:
Contact Information
Lead Study Contact(s): Steven Jessberger
Steven.Jessberger@dot.gov
Phone: 202-366-5052
FHWA Technical Liaison(s): Steven Jessberger
Steven.Jessberger@dot.gov
Phone: 202-366-5052
Commitments by Organizations
Organization Year Commitments Technical Contact Name Funding Contact Name Contact Number Email Address
Alaska Department of Transportation and Public Facilities 2018 $50,000.00 Jill Melcher Anna Bosin (907)269-6208 anna.bosin@alaska.gov
Alaska Department of Transportation and Public Facilities 2019 $50,000.00 Jill Melcher Anna Bosin (907)269-6208 anna.bosin@alaska.gov
Alaska Department of Transportation and Public Facilities 2020 $50,000.00 Jill Melcher Anna Bosin (907)269-6208 anna.bosin@alaska.gov
California Department of Transportation 2019 $50,000.00 Afrid Sarker Sang Le 916-227-0701 sang.le@dot.ca.gov
Colorado Department of Transportation 2019 $50,000.00 Steve Abeyta David Reeves 303-757-9518 david.reeves@state.co.us
Federal Highway Administration 2018 $150,000.00 Steven Jessberger Steven Jessberger 202-366-5052 Steven.Jessberger@dot.gov
Georgia Department of Transportation 2020 $50,000.00 Eric Conklin Supriya Kamatkar 404-347-0552 skamatkar@dot.ga.gov
Idaho Department of Transportation 2019 $50,000.00 Margaret Pridmore Ned Parrish 208-334-8296 ned.parrish@itd.idaho.gov
Illinois Department of Transportation 2019 $50,000.00 William Morgan Megan Swanson 217-782-3547 Megan.Swanson@illinois.gov
Illinois Department of Transportation 2020 $50,000.00 William Morgan Megan Swanson 217-782-3547 Megan.Swanson@illinois.gov
Maryland Department of Transportation State Highway Administration 2018 $50,000.00 Carole Delion Allison Hardt 410-545-2916 ahardt@mdot.maryland.gov
Maryland Department of Transportation State Highway Administration 2019 $50,000.00 Carole Delion Allison Hardt 410-545-2916 ahardt@mdot.maryland.gov
Maryland Department of Transportation State Highway Administration 2020 $50,000.00 Carole Delion Allison Hardt 410-545-2916 ahardt@mdot.maryland.gov
Minnesota Department of Transportation 2018 $25,000.00 Gene Hicks Lisa Jansen 651-366-3779 lisa.jansen@state.mn.us
Minnesota Department of Transportation 2019 $25,000.00 Gene Hicks Lisa Jansen 651-366-3779 lisa.jansen@state.mn.us
Nebraska Department of Transportation 2020 $50,000.00 David Schoenmaker Jodi Gibson 402-479-4337 jodi.gibson@nebraska.gov
New Jersey Department of Transportation 2020 $50,000.00 Chris Zajac Chris Zajac Chris.Zajac@dot.nj.gov
North Carolina Department of Transportation 2019 $25,000.00 Kent Taylor Neil Mastin 919 707 6661 jmastin@ncdot.gov
North Carolina Department of Transportation 2020 $25,000.00 Kent Taylor Neil Mastin 919 707 6661 jmastin@ncdot.gov
North Dakota Department of Transportation 2018 $50,000.00 Terry Woehl Amy Beise 701-328-6921 abeise@nd.gov
Ohio Department of Transportation 2018 $50,000.00 Sandra Mapel General Research 614-644-8135 Research@dot.state.oh.us
Oregon Department of Transportation 2020 $10,000.00 Josh Roll Michael Bufalino 503-986-2845 Michael.Bufalino@odot.state.or.us
Pennsylvania Department of Transportation 2018 $50,000.00 Gregory Dunmire Heather Sorce 717-214-9508 hsorce@pa.gov
Pennsylvania Department of Transportation 2019 $50,000.00 Gregory Dunmire Heather Sorce 717-214-9508 hsorce@pa.gov
South Carolina Department of Transportation 2018 $100,000.00 Todd Anderson Terry Swygert 803-737-6691 SwygertTL@scdot.org
Texas Department of Transportation 2018 $25,000.00 Chris Didear Ned Mattila 512-416-4727 ned.mattila@txdot.gov
Texas Department of Transportation 2019 $25,000.00 Chris Didear Ned Mattila 512-416-4727 ned.mattila@txdot.gov
Texas Department of Transportation 2020 $25,000.00 Chris Didear Ned Mattila 512-416-4727 ned.mattila@txdot.gov
Virginia Department of Transportation 2018 $75,000.00 Hamlin Williams Bill Kelsh 434-293-1934 Bill.Kelsh@VDOT.Virginia.gov
Virginia Department of Transportation 2019 $75,000.00 Hamlin Williams Bill Kelsh 434-293-1934 Bill.Kelsh@VDOT.Virginia.gov

Study Description

Study Description

Pavement embedded sensors such as loops and piezos, along with roadside-based radar/light devices and other fix point installed detection systems offer the most reliable traffic volume and classification data. However, it is also known that such point based traditional detection systems are expensive to install and operate. Over the last two decades, new technologies and new data seeming unrelated to vehicle travel have been explored successfully to characterize vehicle travel. It has been proven that such new passively collected data are successful in characterizing traffic patterns. One of the most successful initiatives is the National Performance Management Research Data Set (NPMRDS). The NPMRDS data, which is based on a wide range of non-traditional data, offers vehicle travel time on all the national highway systems in a timely manner and with great reliability, accuracy and precision.

Recent researches have also shown the potential and success of using passive data to decipher traffic volumes and other movement data such as origin destination data and modal share data. To promote further development and deployment of such advancements, the Federal Highway Administration is organizing a pooled fund effort with the objective of developing and deploying methods to collect vehicle volume data and classification data through the usage of passively collected data. The term of “passively collected data” means data are not collected through traditional roadway point based sensor detections.

The passive data-based non-traditional method, if validated, could reduce costs and improve efficiency for State Departments of Transportation (DOTs), Metropolitan Planning Organizations (MPOs), and local agencies to collect AADT including vehicle class data. It could also reduce risks to employees and contractors who go out to place sensor devices in and on the roadways.

Objectives

The objective of this pooled fund project is to develop and deploy methods and approaches to obtain vehicle volume and classification data with passively collected data.

Volume data refers to the annual average daily traffic (AADT) for all vehicles (both passenger and trucks) covering all roadway functional classes by traffic link or finer levels of segmentation with emphasis on functional classes of minor arterials, collectors, and local roads. Volume data on high volume urban interstates is also highly desired as there is a greater risk for collecting this data in these environments because maintenance of traffic is more expensive and these activities can disrupt normal traffic patterns.

Scope of Work

To achieve the objectives, this project will:

1) Develop non-traditional methods and approaches to collect and estimate AADT by vehicle type – all vehicles, trucks, passenger vehicles – based on passively collected data. Passenger vehicles include FHWA vehicle classes 1-3, and trucks include classes 4-13. If possible, trucks could be further categorized into buses and single-unit trucks (classes 4-7) and combination trucks (classes 8-13). Other attributes such as hourly profiles, day of week and month of year factors along with k-Factors will also be produced.

The methods and approaches shall be transparent to a degree that public trust can be established and both independent checking and validations can be performed. The methods and approaches shall facilitate governmental agencies in decision makings about calibrating, adopting or rejecting such methods and data with sufficient technical details.

2) Validate the AADT from the newly developed non-traditional methods with FHWA’s Travel Monitoring Analysis System (TMAS) data, Highway Performance Monitoring System (HPMS) data, and other ground truth sources to determine data accuracy and precision. The non-traditional AADT methods will be compared to both the FHWA and AASHTO AADT methods for computing AADT from short-term counts as well as participating State agency current approaches. The validation effort should include different vehicle classes and roadway functional class categories.

3) Provide levels of data accuracy and output formats from micro (e.g., a specific site) to macro (e.g., a specific functional class or a group of roads). Provide insights to improve data accuracy in future efforts.

4) The contractor is encouraged to offer incentives (e.g., reduced fee, additional data) for pooled fund members for future related services when such methods and approaches that are deemed statistically and scientifically sound. Pilot demonstration(s) of methods studied in earlier tasks for pooled fund members as funds are available.

Comments

Minimum contribution for any agency joining the pooled fund would be $50,000.

Any agency (DOT, MPO or other local agency) is welcome to participate.

A 100% SP&R waiver letter is expected.

Title File/Link Type Private
TPF-5(384) Acceptance Letter TPF-5(384) Acceptance Letter.pdf Memorandum Public
1st Quarterly Report Fall 2018 Quarterly Progress Report Public
Summer 2019 Quarterly Report Quarterly Progress Report Public
Main Contractor 1st Quarter 2020 Main Contractor 2020 Q1 Report.pdf Quarterly Progress Report Public
Main Contractor 2nd Quarter 2020 Main Contractor 2020 Q2 Report.pdf Quarterly Progress Report Public
Main Contractor 3rd Quarter 2020 2020 Q3 Report.pdf Quarterly Progress Report Public
Validation Team 3rd Quarter Report - NREL NREL 2020 Qtr 3 Report.pdf Quarterly Progress Report Public
Validation Team 3rd Quarter Report - CS_TTI CS_TTI 2020 Qtr 3 Report.pdf Quarterly Progress Report Public
1st Quarter 2021 Quarterly Progress Report Public
2nd Quarter 2021 Non-Traditional AADT from Passive Data Sources 2nd Quarterly Report 2021.docx Quarterly Progress Report Public
3rd Quarter 2021 Non-Traditional AADT from Passive Data Sources 3rd Quarterly Report 2021.docx Quarterly Progress Report Public
4th Quarter 2020 Non-Traditional AADT from Passive Data Sources 4th Quarterly Report 2020.docx Quarterly Progress Report Public

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