|Lead Organization:||Federal Highway Administration|
|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:|
|Last Updated:||Jul 17, 2018|
|Contract End Date:|
|Total Commitments Received:||$1,485,000.00|
|100% SP&R Approval:||Approved|
|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)email@example.com|
|Alaska Department of Transportation and Public Facilities||2019||$50,000.00||Jill Melcher||Anna Bosin||(907)firstname.lastname@example.org|
|Alaska Department of Transportation and Public Facilities||2020||$50,000.00||Jill Melcher||Anna Bosin||(907)email@example.com|
|California Department of Transportation||2019||$50,000.00||Afrid Sarker||Sang Lefirstname.lastname@example.org|
|Colorado Department of Transportation||2019||$50,000.00||Steve Abeyta||David Reevesemail@example.com|
|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 Kamatkarfirstname.lastname@example.org|
|Idaho Department of Transportation||2019||$50,000.00||Margaret Pridmore||Ned Parrishemail@example.com|
|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 Hardtfirstname.lastname@example.org|
|Maryland Department of Transportation State Highway Administration||2019||$50,000.00||Carole Delion||Allison Hardtemail@example.com|
|Maryland Department of Transportation State Highway Administration||2020||$50,000.00||Carole Delion||Allison Hardtfirstname.lastname@example.org|
|Minnesota Department of Transportation||2018||$25,000.00||Gene Hicks||Lisa Jansenemail@example.com|
|Minnesota Department of Transportation||2019||$25,000.00||Gene Hicks||Lisa Jansenfirstname.lastname@example.org|
|Nebraska Department of Transportation||2020||$50,000.00||David Schoenmaker||Jodi Gibsonemail@example.com|
|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 firstname.lastname@example.org|
|North Carolina Department of Transportation||2020||$25,000.00||Kent Taylor||Neil Mastin||919 707 email@example.com|
|North Dakota Department of Transportation||2018||$50,000.00||Terry Woehl||Amy Beisefirstname.lastname@example.org|
|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 Sorceemail@example.com|
|Pennsylvania Department of Transportation||2019||$50,000.00||Gregory Dunmire||Heather Sorcefirstname.lastname@example.org|
|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 Mattilaemail@example.com|
|Texas Department of Transportation||2019||$25,000.00||Chris Didear||Ned Mattilafirstname.lastname@example.org|
|Texas Department of Transportation||2020||$25,000.00||Chris Didear||Ned Mattilaemail@example.com|
|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|
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.
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.
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.
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.
|Independent Evaluation of a Probe-Based Method to Estimate Annual Average Daily Traffic Volume||AADT Validation PF Research CamSys TTI FINAL PROJECT REPORT (2021).pdf||Final Report||Public|
|Validation of Non-Traditional Approaches to Annual Average Daily Traffic (AADT) Volume Estimation||FHWA_AADT_Validation_final_report_508_REVISED_FINAL.pdf||Final Report||Public|
|Non-Traditional Methods to Obtain Annual Average Daily Traffic (AADT) (Task 2)||FHWA AADT Final (002)_PDF_MA_Final_10262021.pdf||Final Report||Public|
|Guidelines for Obtaining AADT Estimates from Non-Traditional Sources (Task 3)||AADT Task 3 Final_Guidelines_MA_Final_10262021.pdf||Final Report||Public|
|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|