September 2006
The Highway Performance Monitoring System (HPMS) provides data that reflects the extent, condition, performance, use, and operating characteristics of the Nation's highways. It was developed as a national highway transportation system database and includes limited data on all public roads, more detailed data for a sample of the arterial and collector functional systems, and certain statewide summary information.
One of the most significant and visible uses of HPMS data is for the apportionment of Federal-aid Highway Program funds to the States under current legislation. The HPMS also provides data for the biennial Condition and Performance Reports to Congress, which supports the development and evaluation of the FHWA's legislative, program, and budget options. These data are the source of information used for assessing highway system performance under FHWA's strategic planning process; safety measures in terms of fatalities and injury crashes are benchmarked to VMT; pavement smoothness measured in IRI; and changes in congestion levels to estimate system delay.
In addition, the HPMS serves the needs of the States, MPOs, local agencies, and other customers in assessing highway condition, system performance, air quality trends, and future investment requirements. Many States rely on traffic and travel data from the HPMS to conduct air quality analyses to determine air quality conformity and to assess highway investment needs using HERS-ST. Finally, these data are the principle source of information for FHWA's annual Highway Statistics and other media publications. As a result of all these uses, States have an additional interest to maintain and assure timely, complete, and quality data.
FHWA receives, processes, analyzes, disseminates, and uses HPMS data provided by the States. The States exercise ownership of the HPMS data; it is their data, not FHWA's. The quality and integrity of these data rest with the State processes to create the basic data inputs. The questions, concerns, and criticisms that come from the varied data users reflect directly on the States' ability to accurately portray the condition and performance of their highway systems. FHWA provides guidance, training, and technical assistance to States, but ultimately it is a State responsibility to provide quality data.
The Division Office provides an invaluable stewardship and oversight role. They have a stake in assuring that the HPMS data provided by the State is quality data for FHWA business needs, accurately represents conditions in their State, and was collected and reported most efficiently. Measuring how well the federal-aid program is working in each State, assuring that each State receives its fair share of federal funds, and assuring that the investment needs of each State are accurately portrayed to the Nation's leadership is an important responsibility that involves the Division Office. Of necessity, this means that the Division must partner with their State to assure that the HPMS data are the product of a comprehensive, effectively managed, and adequately funded data collection and reporting process and the data provided to FHWA is timely, complete, and accurate.
Headquarters provides an overall coordination role in the HPMS data process. Reporting standards are set out in the HPMS Field Manual and reporting software has been developed and provided to the States. Technical assistance, guidance, and training are regularly provided to Division Offices and the States and data are reviewed against prior year reports, normative trends, and other States to identify possible improvement areas. However, no amount of headquarters review can make up for an informed review by the State data owners and the FHWA Division Office stakeholders of both the data and the processes by which the data are produced.
The purpose of these guidelines is to provide direction and focus on productive and meaningful review activities for the Division Office to use in performing their annual reviews, identifying and prioritizing improvements, and preparing reports documenting findings and recommendations. The guidelines contain specific information on annual reporting requirements, review of program activity areas identified using a program assessment matrix, and detail guidelines for use in conducting program and process reviews of the more significant data collection activities covered by the HPMS.
The guidelines provide flexibility for the Division Office to decide which data areas to focus on to improve the quality of the State's HPMS program. Each Division is responsible for developing, prioritizing, conducting, and reporting on appropriate HPMS data program and process review activities. These guidelines should assist the Division in deciding the priority of process reviews to be conducted to ensure that all identified high priority data issues are thoroughly resolved as part of our ongoing data quality initiatives. They also provide detail questions and assessment criteria covering the data reporting areas considered to be of the highest priority for assuring quality HPMS data. Technical assistance from the FHWA Resource Centers and Headquarters is available and should be considered.
The February 2003 Continuous Process Improvement (CPI) Guidelines and Program developed for the HPMS should be used in conjunction with these guidelines as an aid to developing process reviews appropriate to the particular conditions or problems that may exist in any of the technical areas to be reviewed. They present a ten-step process that should be used to evaluate data programs resulting in a comprehensive understanding of the current process, identifying improvements, developing an action plan, and monitoring implementation activities.
The FHWA Division Office also shares in the overall responsibility of providing quality HPMS data. There are many activities that the Division can undertake throughout the year to support the State's program to provide timely and quality HPMS data. In addition to maintaining a rapport and partnership effort, some of these activities include:
The annual review of the HPMS program by each Division Office includes four components: (1) Status Report and Certification, (2) HPMS Program Activity Assessment, (3) documentation and discussion of review activities identified through either the status report or program assessment and (4) annual reporting. These are discussed further in the following sections.
This is a summary of activities and actions that have been completed within the past year by the Division Office and the State to be documented on the "FHWA Division Office HPMS Review - Status Report & Certification" form. Additional information as appropriate should be provided to further explain the summary information noted. The references to the review reports available on the HPMS web site can be used to aid in responding to specific data item quality issues. The response to Headquarters submittal comments is only one entry on this form, a reply is encouraged shortly after receipt of comments, and should not be the extent of the Division's review. The bottom of the form includes the annual certification statement that we ask the Division Administrator (or his delegate) to sign. Please note that this statement includes all HPMS data used for the major business needs of FHWA and refers to more than just the acceptance of mileage and travel data for apportionment of Federal funds.
This is matrix identifying the major activity areas also included on the Status Report & Certification form that will serve as a risk assessment of the State's HPMS program. This form "HPMS Program Activity Assessment" should be completed based on the Division's knowledge of the State's program and review of the reports referenced for each data item in the activity column. It focuses on the quality of the data submitted, referring to Headquarters review comments, the data presented in the referenced reports, and Division review activities the past four years. It should not be viewed as an evaluation of the State's program but as an aid in identifying which areas may need further attention where improvements may be realized. The rating information should be used to identify and prioritize activities for further review.
It may be helpful to jointly complete this form with the State to provide a more accurate assessment, especially if the Division Office staff is rather new to HPMS, and to provide valuable information to the State. This assessment may help the State maintain or secure additional resources to address the issues identified to improve their HPMS program. It can provide useful information when discussing the State's program to support those areas that the Division has determined need further review and possible improvement. An activity producing quality data may still be improved for efficiency even though no major data issues are evident in FHWA's review and edits of the data. Program efficiencies and enhancements can more easily be identified if a thorough review is conducted on the recommended three year cycle utilizing the CPI program review guidance established in 2003. A periodic review would be beneficial to both the FHWA and the State considering the advances in technology for data collection and processing, frequent staff changes without complete State HPMS program documentation, and limited or reduced resources to provide the same level of detail and extent of data collection.
The six high priority activity areas are listed below with additional guidance on reviewing each area available in the Attachments:
It is recommended that process reviews be conduced on these high priority areas on a 3-year cycle unless a schedule for improvement or change has been developed and is being implemented or there are major deficiencies that need timely resolution. An initial review may be necessary to establish a base line for these activities, which later can be addressed individually or scheduled over several years. These reviews should not focus on just the comments provided by Headquarters which is a separate activity frequently requiring more immediate discussion, resolution, response, or resubmittal of data.
Most of these priority areas are a continuation of prior review guidelines focusing on those areas that will provide the most effective use of Division Office resources to maintain and enhance data quality. The quality assurance activity addresses the past reviews of actual visual on site field reviews of individual data items on sample sections, the submittal software "Validation Summary Report", and the State's quality assurance program. The data collection activities on off-state system facilities are included with each of the activity areas rather than listed separately. The highway capacity data and VMT review items are included under Traffic Data. The review of traffic data should focus on the State's data collection program and the process for updated current year traffic data in HPMS; review of HPMS traffic data is a key component to determine acceptability of the data submitted. The review and documentation of the State's Traffic Monitoring Program for Highways (TMS/H) is only one component of the traffic review and should not be the only activity reviewed as discussed further in the Attachments.
The scheduling of process reviews for high priority areas should be determined by the Division in concert with the State based upon the ranking of activity areas and considering those that have the greatest need for improvement. Assistance in conducting process reviews can be provided by Headquarters, the FHWA Resource Centers, Division Office program specialists (pavements, traffic, ITS), and other States as a review team approach. The teaming of FHWA and State resources is a way to foster knowledge sharing, to use available expertise for thorough and comprehensive reviews, and for effective monitoring of improvements.
Review activities undertaken the past year by the Division identified through either the Status Report and Certification or the HPMS Program Activity Assessment should be documented and provided for Headquarters information. This provides valuable information on Division review efforts and further explanation about the State's HPMS and data collection programs. This can include discussion of comments on the Status Report and Activity Assessment forms, status of process reviews either initiated or completed, and other relevant data collection information. The level of detail is determined by the Division and can range from summary information to detail reviews, guidelines, schedules, team charters, work plans, action plans, and resource commitments.
The Division Office is responsible for providing an annual certification and supplementary information on their annual review which should be officially transmitted to Headquarters (HPInfoMail electronic mailbox) by November 1 of each year. This information shall consist of the above discussed three areas: Status Report and Certification, HPMS Program Activity Assessment, and documentation and discussion of review activities completed during the past year.
The review memorandum or supplementary information should also document any FHWA actions taken or recommendations made as a result of the review and steps the State is taking to make HPMS program improvements. Follow up reporting by the Division of issues, recommendations and results on a year-to-year basis are essential to staying on the path to quality improvement over time. And, in an era of rapidly changing staff and responsibilities, it is important to maintain an adequate record of progress.
It is important that reviews be timely so that results and recommendations can be implemented before the State starts their next data submittal. This provides time for further discussion with Headquarters and for the State to change processes or data collection efforts if needed. Starting a review early in the year would allow for sufficient time for discussion and if necessary adjusting resources and priorities in developing the next SPR Work Program; sufficient information is available without waiting for the current year data submittal or review comments from Headquarters. The Division's review activities can be included in the Division's annual work plan and review schedule for the coming year to make sure all participants are identified and available.
Data, review comments, and identification of issues are readily available to the Division and State even before Headquarters current year review comments are transmitted. This information includes past Headquarters review comments, State's submittal comments, validation summary reports from the HPMS software, HPMS website tables and reports, Division knowledge of the State's HPMS and data programs, HPMS Dashboards, and frequent SPR work program progress and performance reports.
Whenever a review is performed, the Division should address adequacy of funding for the HPMS program for both the State and Metropolitan Planning Organizations (MPOs) providing data. The adequacy of personnel, equipment, and training needed by State and local agencies to conduct the HPMS program in a quality manner should be examined by the Division. Resolution of high priority data issues should be a factor in determining priorities for funding of activities in State Planning and Research (SPR) and Unified Planning Work Programs (UPWP).
The HPMS submittal software and the HPMS Computer Based Training CD are excellent tools to use in examining the quality of data submitted by the States. The Divisions are encouraged to learn how to use these tools for reviewing the quality of their State's HPMS data and for conducting process reviews of critical HPMS data areas. The Divisions should make full use of the HPMS Field Manual, resource information on the HPMS web site, and examples of other Divisions' outstanding reviews as a resource when developing and coordinating data and process reviews.
Information and Analysis is a key cornerstone of the Malcolm Baldridge criteria which FHWA uses as a measure of our agency's performance to determine if we are meeting the needs of our customers, States, Congress, and the public in providing quality data which accurately represent the travel characteristics and extent of our Nation's highway system. How we effectively manage the quality of HPMS data has a direct impact on FHWA's ability to assess our progress in meeting agency performance objectives for the Strategic and Annual Performance plans. The proactive assistance of the Divisions and Resource Centers in working with the States and MPOs on improving the quality of HPMS data should be a critical component of planned Division and Resource Center work activities. Improving HPMS data and processes should be included in the Division's performance plan objectives and self assessments and should be accomplished by working with the State DOTs and MPOs. We encourage the teaming of Division, Resource Center, Headquarters and State staff to maintain and improve the quality of HPMS data, and to provide an opportunity for knowledge sharing as part of meeting our agency goals of developing high quality highway information for our customers.
(Annually by November 1, complete and sign this form, the risk assessment, and attach additional information as necessary.)
STATUS REPORT - Answers to these questions should be reflected in rating each activity on the HPMS Program Activity Risk Assessment form.
____Has your State made a complete data submittal by June 15 with no major deficiency comments?
____Does the State's submittal letter adequately explain recurring conditions, edits, changes, and improvements being made in data collection procedures and processing data?
____Have they been discussed and understood by the Division and State?
Date response forwarded to OHPI including discussion of implementation_________________
Resolution of other comments in correspondence and discussions________________________
____Has there been increased funding for enhancing or implementing improvements in HPMS and data collection programs providing data for HPMS? Are current funding levels adequate?_____
____Are process improvements identified, reflected in an action plan, and fully supported in SPR or State work programs?
____Does the State have a quality assurance program for all data provided for HPMS? RE: Report 10
When was the last time your office or the State conducted Field Inventory Reviews to verify data is coded properly and reflects current conditions? _______________
Have any problems been identified in your Field Review?____ and have they been corrected? ____
____Have all AADTs been updated to accurately represent traffic for the data year? Re: Reports 25, 26, 27 on HPMS web site.
____Do the trends in VMT by functional class in Reports 2 and 13 appear reasonable compared to adjoining functional classes and prior year's data?
When was the last time your office did a process review of the State's traffic monitoring program to assure that procedures are adequate and are being applied to all HPMS data? (This is more than just the TMS/H review, it should follow the guidelines in Attachments F and G.) _________________
____Have all IRI data been provided and updated within the last 2 years? Re: Report 19, 20, 31 on HPMS web site.
When was the last time your office did a process review of the State's pavement data program to assure that procedures are adequate and are being applied to all HPMS data? ___________
____Has the State conducted a sample adequacy review this year? Explain results and changes in number of samples or when last review was conducted. Re: Report 35, 36, 38 on HPMS web site.
When was the last time your office did a process review of sample adequacy to assure that procedures are adequate and are being applied to all HPMS data? ___________
ANNUAL CERTIFICATION
I certify that the State's HPMS data submittal and the information in this review are true and correct to the best of my knowledge and belief and there is no evidence of submission of false data, which would be in violation of U.S.C., Title 18, Section 1020. Furthermore, I certify that this HPMS data is valid and suitable for use in the apportionment of Federal-aid highway funds, performance measurement, and condition and performance reporting to Congress. _____________________________________________________________FHWA Division Administrator ___________Date |
State Date Year (Attach to your Status Report & Certification) Date of Assessment
| Activity | Poor 1 point |
Good 2 points |
Better 3 points |
Best 4 points |
Score (points) |
|---|---|---|---|---|---|
| Data Submittal | Late with complete mileage and VMT data, other major data issues not explained | By June 15th , complete mileage & VMT data, major issues explained or data resubmittal | By June 15th , complete data and minor comments | By June 15th , no comments | |
| (Re: Report 10) | Submittal letter brief and general comments | Submittal letter explains only recurring comments | Submittal letter explains recurring comments and edits | Submittal letter explains recurring comments, edits, and changes in procedures and processes | |
| SPR Work Program or State Planning Work Program | Decrease or inadequate funding or no priorities for data collection including staff, training or equipment | Adequate funding, some recognition of needs and new activities, but still no changes in staff, training, or equipment | Adequate or increased funding, more staff and training for selected activities | Adequate or increased funding for process review (or action plan) recommendations included in work program | |
| Quality Assurance (Re: Report 10) |
Minimal quality assurance, off-state system issues, many coding error
messages or No Division Field Inventory review conducted within the last 3 years |
Basic quality assurance program for short term solutions including
off-state system issues, some coding error messages explained in submittal
letter or Division Field Inventory Review conducted within the last 3 years & continuing problems |
Quality assurance program implemented and coordinated with all data
providers, minor isolated problems, and Division Field Inventory Review completed within the last 3 years, all recommendations implemented |
Quality assurance program documented, funded, and no major data coding
problems found and Division Field Inventory Review completed within the last 3 years, no recommendations or major findings |
|
| Traffic Data (Re: Reports 2, 13, 25 - 27, Summary Table) |
Current year data provided with non statistical or non verifiable explanation
for anomalies and unusual trends for F.C. or H.V. locations, Primary
OHPI comments or No process review conducted within the last 3 years |
Current year data provided for all PAS, acceptable statistical justification
for anomalies and unusual trends for F.C. or H.V. locations, Primary
OHPI comments or Process review started or completed within last 3 years, recommendations not implemented |
Current year data provided for all F.C., acceptable statistical justification
for anomalies and unusual trends for F.C. or H.V. locations, Secondary
OHPI comments and Process review completed within the last 3 years, some recommendations implemented |
Current year data provided for all F.C., no unusual trends by F.C.
or H.V. locations, no OHPI comments and Process review completed within the last 3 years, all recommendations implemented |
|
| Pavement Data (Re: Reports 19, 20, 31) |
Complete data provided on-state system updated on an infrequent cycle,
off-state system data incomplete, Primary OHPI or No process review conducted within the last 3 years |
Complete data provided on-state system updated on a 2 year cycle, plan
developed for complete off-state system data, Primary OHPI or Process review started or completed within last 3 years, recommendations not implemented |
Complete data provided and collected with supporting explanations that
differ from Field Manual, all current 2-3 year data, Secondary OHPI comments and Process review completed within the last 3 years, some recommendations implemented |
Complete data provided and collected in accordance with Field Manual,
all current 2-3 year data, no OHPI and Process review completed within the last 3 years, all recommendations implemented |
|
| Sample Adequacy (Re: Reports 35, 36, 38) |
Sample revisions needed, identified, but not made. Primary OHPI comments or No process review conducted within the last 3 years |
Some sample revisions were made, sample adequacy assessed. Primary
OHPI or Process review started or completed within last 3 years, recommendations not implemented |
Most sample revisions were made, sample adequacy assessed. Secondary
OHPI comments and Process review completed within the last 3 years, some recommendations implemented |
Sample revisions not needed or were made addressing all deficiencies
and OHPI comments and Process review completed within the last 3 years, all recommendations implemented |
|
| Total Score (28 max) | |||||
| Activity(s) Identified for Review: (Less than 15, more than one activity should be considered) | |||||
The activity with the lowest points should be considered for further process/CPI review following the guidelines in the Attachments. If there are similar scores then prior years assessments, history of continuing issues, or OHPI comments should be considered in selecting activities for your further review.
The Report references are on the FHWA HPMS web site for each State http://fhwapap07.fhwa.dot.gov/hpms/ Attachment A provides guidance on how to access these reports.
The Attachments C through I provide guidance on reviewing each activity in detail that may need to be tailored and customized to adequately support a comprehensive process/CPI review addressing the particular issue or program area.
Acronyms used in Risk Assessment Form:
F.C Functional Classification Field Manual HPMS Field Manual
H.V. High Volume (AADT)
OHPI Office of Highway Policy Information
PAS Principal Arterial System
SPR Statewide Planning and Research program
VMT Vehicle Miles Traveled
{Image: Screen Shot of HPMS Home Page}
(Report may not contain actual report number, but they are numbered in sequence)
| Report Number | Data Item | Report Name |
|---|---|---|
| 1 | Statewide Summary Information | |
| 2 | 30, 33 | Length, Lane Length, and Daily Travel by Functional System |
| 3 | 30, 33 | Urbanized Length, Lane Length, & Daily Travel by Functional System |
| 4 | 30 | Functional System Length Summary |
| 5 | 30, 33 | Functional System Length, Lane Length, and Travel |
| 6 | Summary | Population and Net Land Area Comparison |
| 7 | 13, 15 | Urbanized Area Code Consistency Check |
| 8 | Summary | Paved/UnPaved Length Lower Function Sys & Nonattain Area Travel |
| 9 | Summary | User Set Climate Zones and Capacity Values |
| 10 | Validations Summary Report - by Severity Level | |
| 11 | 16 | NonAttainment Area - Urbanized Code Consistency Check |
| 12 | 30, 33 | Nonattainment Area Length and Daily Travel |
| 13 | 30, 33 | Interstate System Routes |
| 14 | Interstate System Routes Proposed | |
| 15 | 30, 33 | National Highway System - NHS |
| 16 | 35 | National Highway System - NHS - Roughness Index |
| 17 | 30, 33 | STRAHNET Length, Lane-Length, and Daily Travel |
| 18 | 35 | STRAHNET - Roughness Index |
| 19 | 35 | Roughness Index Summary |
| 20 | 35 | IRI Reporting Summary |
| 21 | 36 | PSR > 0.0 Summary |
| 22 | 37 - 46 | HOV and Highway Surveillance Systems: Length |
| 23 | 96 | High VSF Ratio |
| 24 | 33 | High Section Usage |
| 25 | 33 | Matched Standard Samples with AADT > 100,000 - % Change (1) |
| 26 | 33 | Matched Standard Samples with AADT > 100,000 - Equal Values |
| 27 | 33 | Matched Standard Samples with Current AADT = Previous AADT |
| 28 | 33 | Lowest AADT Lane |
| 29 | 33 | Average Daily Vehicles Per Lane |
| 30 | 92 - 94 | High Number of Intersections (2) |
| 31 | 35, 36 | Paved Samples With IRI and PSR Both Zero (2) |
| 32 | 27 | Samples Which are Structures |
| 33 | 30 | Percent Samples with less than Recommended Length |
| 34 | 47 | Standard Sample Summary |
| 35 | 47 | Unsampled Volume Groups - Standard Samples |
| 36 | 47 | Standard Sample Volume Groups - with less than 3 Samples |
| 37 | 31 | Donut Sample Summary |
| 38 | 31 | Unsampled Volume Groups - Donut Samples |
| 39 | 31 | Donut Area Volume Groups - with less than 3 Samples |
| 40 | 97 | Standard Sample Current & Future Daily Travel/AADT |
| 41 | 97 | Standard Sample Current & Future Daily Travel/AADT - Urban Area |
| 42 | 28 | Designated Truck Route Section Length |
| 43 | 81 - 84 | Daily Truck Travel in Thousands |
| 44 | 81 - 84 | Truck Frequency Graphs |
| 45 | 85 | K Factor Frequency Graphs |
| 46 | 30 | Percent Difference of NHS (2) |
| 47 | 25 | Percent Difference of Governmental Ownership |
| 48 | 27 | Percent Difference of Type Facility |
| 49 | 29 | Percent Difference of Toll |
| 50 | 34 | Percent Difference of Number of Through Lanes |
| 51 | 55 | Percent Difference of Access Control |
| 52 | 56 | Percent Difference of Median Type |
| 53 | 50 | Percent Distribution of Pavement Type - Designation & Func Sys |
| 54 | 50 | Pavement Type Length - By AADT Range |
| 55 | 54 | Percent Distribution of Lane Width |
| 56 | 58 | Percent Distribution of Shoulder Type |
| 57 | 59 | Percent Distribution of Right Shoulder Width |
| 58 | 60 | Percent Distribution of Left Shoulder Width |
| 59 | 69, 71 | Percent Distribution of Horizontal and Vertical Alignment |
| 60 | 70 | Percent Distribution of Terrain Type |
| 61 | 63-, 72- | Percent Distribution of Curves/Grades by Class |
| 62 | 88, 89 | Percent Distribution of Turning Lanes |
| Data Item | Report Number | Report Name |
|---|---|---|
| 1 | Statewide Summary Information | |
| Summary | 6 | Population and Net Land Area Comparison |
| Summary | 8 | Paved/UnPaved Length Lower Function Sys & Nonattain Area Travel |
| Summary | 9 | User Set Climate Zones and Capacity Values |
| 10 | Validations Summary Report - by Severity Level | |
| 14 | Interstate System Routes Proposed | |
| 13, 15 | 7 | Urbanized Area Code Consistency Check |
| 15, 13 | 7 | Urbanized Area Code Consistency Check |
| 16 | 11 | NonAttainment Area - Urbanized Code Consistency Check |
| 25 | 47 | Percent Difference of Governmental Ownership |
| 27 | 32 | Samples Which are Structures |
| 27 | 48 | Percent Difference of Type Facility |
| 28 | 42 | Designated Truck Route Section Length |
| 29 | 49 | Percent Difference of Toll |
| 30, 33 | 2 | Length, Lane Length, and Daily Travel by Functional System |
| 30, 33 | 3 | Urbanized Length, Lane Length, & Daily Travel by Functional System |
| 30 | 4 | Functional System Length Summary |
| 30, 33 | 5 | Functional System Length, Lane Length, and Travel |
| 30, 33 | 12 | Nonattainment Area Length and Daily Travel |
| 30, 33 | 13 | Interstate System Routes |
| 30, 33 | 15 | National Highway System - NHS |
| 30, 33 | 17 | STRAHNET Length, Lane-Length, and Daily Travel |
| 30 | 33 | Percent Samples with less than Recommended Length |
| 30 | 46 | Percent Difference of NHS (2) |
| 31 | 37 | Donut Sample Summary |
| 31 | 38 | Unsampled Volume Groups - Donut Samples |
| 31 | 39 | Donut Area Volume Groups - with less than 3 Samples |
| 33, 30 | 2 | Length, Lane Length, and Daily Travel by Functional System |
| 33, 30 | 3 | Urbanized Length, Lane Length, and Daily Travel by Functional System |
| 33, 30 | 5 | Functional System Length, Lane Length, and Travel |
| 33, 30 | 12 | Nonattainment Area Length and Daily Travel |
| 33, 30 | 13 | Interstate System Routes |
| 33, 30 | 15 | National Highway System - NHS |
| 33, 30 | 17 | STRAHNET Length, Lane-Length, and Daily Travel |
| 33 | 24 | High Section Usage |
| 33 | 25 | Matched Standard Samples with AADT > 100,000 - % Change (1) |
| 33 | 26 | Matched Standard Samples with AADT > 100,000 - Equal Values |
| 33 | 27 | Matched Standard Samples with Current AADT = Previous AADT |
| 33 | 28 | Lowest AADT Lane |
| 33 | 29 | Average Daily Vehicles Per Lane |
| 34 | 50 | Percent Difference of Number of Through Lanes |
| 35 | 16 | National Highway System - NHS - Roughness Index |
| 35 | 18 | STRAHNET - Roughness Index |
| 35 | 19 | Roughness Index Summary |
| 35 | 20 | IRI Reporting Summary |
| 35, 36 | 31 | Paved Samples With IRI and PSR Both Zero |
| 36 | 21 | PSR > 0.0 Summary |
| 36, 35 | 31 | Paved Samples With IRI and PSR Both Zero (2) |
| 37 - 46 | 22 | HOV and Highway Surveillance Systems: Length |
| 47 | 34 | Standard Sample Summary |
| 47 | 35 | Unsampled Volume Groups - Standard Samples |
| 47 | 36 | Standard Sample Volume Groups - with less than 3 Samples |
| 50 | 53 | Percent Distribution of Pavement Type - Designation & Func Sys |
| 50 | 54 | Pavement Type Length - By AADT Range |
| 54 | 55 | Percent Distribution of Lane Width |
| 55 | 51 | Percent Difference of Access Control |
| 56 | 52 | Percent Difference of Median Type |
| 58 | 56 | Percent Distribution of Shoulder Type |
| 59 | 57 | Percent Distribution of Right Shoulder Width |
| 60 | 58 | Percent Distribution of Left Shoulder Width |
| 63-, 72- | 61 | Percent Distribution of Curves/Grades by Class |
| 69, 71 | 59 | Percent Distribution of Horizontal and Vertical Alignment |
| 70 | 60 | Percent Distribution of Terrain Type |
| 71, 69 | 59 | Percent Distribution of Horizontal and Vertical Alignment |
| 72-, 63- | 61 | Percent Distribution of Curves/Grades by Class |
| 81 - 84 | 43 | Daily Truck Travel in Thousands |
| 81 - 84 | 44 | Truck Frequency Graphs |
| 85 | 45 | K Factor Frequency Graphs |
| 88, 89 | 62 | Percent Distribution of Turning Lanes |
| 92 - 94 | 30 | High Number of Intersections (2) |
| 96 | 23 | High VSF Ratio |
| 97 | 40 | Standard Sample Current & Future Daily Travel/AADT |
| 97 | 41 | Standard Sample Current & Future Daily Travel/AADT - Urban Area |
A narrative file providing explanatory comments should accompany the State's HPMS submittal. This can be found on the HPMS Web Site using the basic instructions in Attachment A.
As discussed in the HMS Field Manual (II-1), this can be recurring or new comments on unique conditions in the State, problems, deficiencies, program and process changes, future activities proposed to improve data quality, and significant changes from the previous HPMS submittal. Does that State address these issues and are there other activities that should have been discussed? Specific issues that can also be addressed in this file are the following:
Explanation of software Validations Summary Report (edit) messages and corrections made as appropriate and explained where the data was verified as being correct
Issues and processes affecting the HPMS data and its quality
FHWA Headquarters comments on last year's data submittal
Discussion and listing of sample revisions, deletions and additions
IRI data collection procedures
Traffic monitoring activities and procedures (Truth in Data Narrative)
Urban boundary and functional class changes
Donut area comments, boundaries and joint areas if appropriate
Non-attainment areas discussion on coding and boundaries
Comments on reports on FHWA web site
Mileage reporting for certified mileage, system changes, and Federal lands
Summary data of population and net land area
Comments on universe data items
Override of peak capacity values
Pictures of unusual or unique roadway conditions
Identifying HPMS and other State contacts
As part of an in-depth review of the SPR (Statewide Planning and Research) Work Program, activities that could be investigated and comment on include the following:
Title 23 USC - Highways, Chapter 5 - Research and Technology, Sec. 502. Surface transportation research, (g) Infrastructure Investment Needs Report http://frwebgate.access.gpo.gov/23USC502
Title 23 CFR - Highways, Part 420 - Planning and Research Program Administration, Subpart A - Administration of FHWA Planning and Research Funds 420.105.2 What is the FHWA's policy on use of FHWA planning and research funds? http://ecfr.gpoaccess.gov/cgi/t/text/23:1.0.1.5.10.1.1.3
A quality assurance program would assist the State in continually providing quality data for the HPMS submittal. This program can consist of various activities to verify that data in the State's database and subsequently HPMS data is accurate, current, and representative of the State's highway system. This program can also rely on the Division Office Field Reviews to spot check coding of various data items by physical observation or other methods. To assess quality assurance of HPMS data the following three activities should be reviewed:
A Field Inventory Review should consist of on site visits of randomly selected section locations to verify that the data reported represents current conditions and is accurately coded in the State's most recent HPMS submittal. This is most effective if conducted jointly with the State to add credibility to the findings and to discuss conditions and interpretations as they occur in the field. The Computer-Based Training CD can be used as guidance in the proper coding of data items as well as discussions and information on our web site.
A check should be made on a minimum of 30 sections divided evenly between Interstate, Non-Interstate NHS, and other arterial and collector systems on the following data items as applicable for both sample and universe sections:
Data Item Item No. Type of Facility 27 Number of Through Lanes 34 34 IRI 35 PSR 36 HOV Operations 37 Highway Surveillance 38-46 Surface/Pavement Type 50 Year of Surface Improve 53 Lane Width 54 Access Control 55 Median Type 56 Median Width 57 Shoulder Type 58 Shoulder Width 59-60 Peak Parking 61 Widening Feasibility 62 Curves by Class 63-68 Horizontal Alignment 69 Type of Terrain 70 Vertical Alignment 71 Grades by Class 72-77 Passing Sight Distance 78 Speed Limit 80 Number of peak lanes 87 Turning Lanes 88-89 Signalization 90 % Green Time 91 Number of Intersections 92-94
The findings should be discussed and presented to the State to determine if procedure changes are necessary for the collection, processing, or coding of specific data items. Discuss responses to your findings and what actions will be taken for resolution.
A verification that changes have been made may need to be performed later on that year or in next year's review activities.
The findings of the field review may result in changes in the State's quality assurance program. This can also be viewed as a review of the State's quality assurance program (assuming they have one) to verify that it is working and if improvements are needed. Discuss how this has improved the quality assurance program.
The review of traffic data could focus on several traffic monitoring activities, which affect many data items. These activities include the traffic monitoring program, travel data (VMT), and highway capacity related data.
To assist in determining which traffic activities to review, other than those issues and comments highlighted in the past, it is suggested that periodically a detail review of the AADTs reported in the State's submittal should be made. The Attachment G flowchart "Review of Traffic Data Submitted for HPMS" should aid in this review to determine if AADTs were calculated properly using the State's procedures and meeting the requirements of HPMS. The accompanying narrative to this flowchart should supplement and further describe many elements of the State's traffic monitoring program as presented in this attachment.
Has the Traffic Monitoring System for Highways (TMS/H) ( 23 CFR 500 Subpart B) program been thoroughly documented and accepted by FHWA? Comment on recent updates and future improvements being considered.
How many ATRs (Automatic Traffic Recorders), urban and rural, are in use?
What seasonal pattern groups are developed and how many ATRs are there for each group? Does each group meet the 10 percent precision and 95 percent confidence level?
To the extent possible, is there one ATR on each route of the PAS/NHS?
Are there at least 3 ATRs on both the rural and urban non-Principal Arterial routes?
For each ATR, is a minimum of 2 full days of data for each day of the week for each month collected?
How many ATRs in the system (urban/rural) are used for the development of adjustment factors?
What process is used to retrieve the ATR data (telemetry or direct retrieval)? On what frequency is it retrieved?
What are the manufacture's names of ATR systems (sensors and recorders) being used?
What accuracy checks are made of the ATR setups and the data being collected?
Describe the State's processing of ATR data, including editing procedures, automation and software, and missing data procedures.
Do MPOs or other agencies have a continuous count program? Describe the content and extent of this program and how it is used by the agency and State.
Which roadways are included in the State's coverage count program?
Does the State's coverage count program include all standard and PAS/NHS universe sections?
Are the State's traffic volume counts made on at least one third of the HPMS standard sample sections by functional class each year? Are the rest of the locations counted on a 6-year cycle?
Is the State's scheduling of traffic volume counts random in time and location?
Is the duration of all traffic volume counts a minimum of 48 hours?
How many 48 hour traffic volume counts are conducted by the State each year on the State highway system (urban/rural)? Are there at least one-third of the total counts required on a three-year cycle?
How many 48 hour traffic volume counts are conducted by the State each year off the State highway system (urban/rural)? Are there at least one-third of the total counts required on a three-year cycle?
How many 24 hour traffic volume counts are conducted by the State on the State highway system (urban/rural)? Even though 48-hour counts are recommended, a minor amount of 24-hour counts are acceptable if they are due to equipment problems necessitating truncation at 24 hours. Counts less than 48 hours shall be based on some statistical analysis conducted by the State, and acceptable to FHWA, to determine that 24 hour counts are as accurate as 48 hour counts.
How many 24 hour traffic volume counts are conducted by the State off the State highway system (urban/rural)? (See discussion with question #8.)
Describe the State's activities and procedures for the retrieval and reporting of data from counters.
What traffic volume counting equipment systems are used by the State? What checks are made of the equipment?
Does the State include traffic counts collected by MPOs, local agencies and contractors? What is the schedule for these counts?
What procedures and controls are required for traffic counts collected by MPOs and others? Are these procedures and controls consistent with the TMS/H requirements?
What coordination is done with local agencies to ensure satisfactory procedures are used?
What procedures and controls are specified for the collection of coverage counts by contractors?
If ITS or freeway monitoring system data is being used, what is the process of verification, calculating AADTs, and quality control?
To determine if AADTs were calculated properly using the State's procedures and meeting the requirements of HPMS, a review should be made on a random sample of HPMS sections using the flowchart "Review of Traffic Data Submitted for HPMS" in Attachments G.
Describe the process used by the State to update traffic volume data for each HPMS data submittal using all available State and other agency data.
If the HPMS section does not match exactly with the traffic counting section (in the State's traffic database) how are traffic volumes calculated and assigned to the HPMS section?
Is this an automated or manual process? Describe this process.
Does the State stratify vehicle classification by type of area (urban/rural) and functional class?
Does the State allocate classification sampling to the above noted stratifications in proportion to the associated VMT for these systems?
Describe the State's vehicle classification activities in terms of number of counts (urban/rural), duration, and type (automated or manual).
How many counts are used to calculate axle correction factors (urban/rural)?
Does the State conduct vehicle classification by lane and in both directions?
Does the State distribute its vehicle classification sampling throughout the year to avoid the need for seasonal adjustments?
Describe the data retrieval and reporting activities and procedures.
What counting equipment systems are used? What checks are made of the equipment?
Vehicle classification activities on the NHS must be sufficient to assure that on no greater than a 3-year cycle every major system segment will be monitored to provide information on the numbers of:
To what extent does the State's classification program fulfill the above requirements?
In monitoring vehicle classification on the NHS, if it is determined that two or more continuous major system segments have both similar traffic volumes and vehicle type distributions, a single monitoring session will be sufficient to monitor these multiple segments. Does the State use this single monitoring session approach?
What is the State's program for meeting the TMG guidance on 30% of all volume counts being vehicle classification counts?
What factors are used by the State (seasonal, axle, day of week) to adjust coverage counts?
Does the State review their adjustment factors annually and update them at least every three years?
Are the State's editing and adjusting procedures for converting short term counts to AADT documented? How long does this documentation remain available?
Describe the State's practices and procedures for developing and applying seasonal adjustment factors.
Describe the State's practices and procedures for developing and applying axle adjustment factors.
Describe the State's practices and procedures for developing and applying day of the week adjustment factors.
Does the State apply these same adjustment factors to coverage counts provided by MPOs and other agencies? If not, do other agencies apply factors to data collected and what are these factors reviewed and accepted by the State?
Documentation of the vehicle classification program should demonstrate that:
The data is representative of the specific functional class.
Each season of the year is represented in the development of the axle corrections.
The monitoring session durations are sufficient to account for the changes in vehicle mix from day to day (at least 48 hour counts).
The total volume of vehicles observed is at least equal to that for an average day.
Classification counts are well distributed among rural and urban locations.
There are sufficient categories to represent vehicles with two to seven axles.
Does the State's vehicle classification program satisfy the above requirements?
How many classification sites are used to calculate axle correction factors?
Describe the State's development and application of growth factors.
On what basis are growth factors developed?
Are growth factors used to develop AADTs for all PAS/NHS and standard sample sections (except where current-year counts have been taken)?
How are growth factors developed?
Describe the State's requirements for testing of equipment used to collect traffic data.
Describe the State's documentation of its data collection procedures. Does the documentation specify the following?
Describe the State's source data retention.
How often do the State and MPOs update documentation of their traffic monitoring procedures? How current are the existing procedures?
Describe the current funding and staffing of the State's traffic monitoring program(s) and activities.
Describe future program improvements (ex: additional resources, equipment acquisitions, data processing changes, research activities, etc.).
Travel is calculated from traffic data and corresponding section lengths entered into the HPMS database. Travel by functional system and specific Interstate routes should be reviewed for significant increases or decreases. Larger than normal changes, based on past trends, should trigger an examination of reasons for the changes and the reasonableness of the reported values. Reviews should address both reported length and traffic data for functional systems and routes examined. Issues to examine include:
Is total VMT by functional system reasonable for the reported year and are comparisons to prior years reasonable?
Are total rural and total urban VMT data reasonable and are trends consistent?
Determine if changes in VMT by functional system reasonably reflect recent annual trends within geographic sub-areas of the State.
Is functional system VMT by urbanized area reasonable based upon past trends and are comparisons among urbanized areas reasonable?
Compare reported VMT and MPO VMT estimates for consistency at the functional system and/or urbanized area levels.
Are HPMS generated VMT used for air quality conformity purposes in non-attainment areas? Are there unresolved issues or problems associated with their use?
Can significant changes in VMT trends be justified? Review the adequacy of the documentation supporting these travel changes.
Determine how changes in route miles are reported and documented by the State or MPOs. Do the route mile changes appear reasonable based on past trends? How does the State monitor local government mileage data changes?
Some of the more significant data items which contribute to the quality of highway capacity estimates include: percent trucks, turning lanes, at-grade intersections, percent green time, shoulder type and width, number of peak lanes, lane width, median width, median type, and K (design hour volume) and D (directional) factors. Some issues the Division could examine include:
K and D Factors
These factors are generally determined from ATR data. Statewide rural and urban K and D factors applied to all routes or to entire functional systems should only be used as an interim procedure if site-specific data is not available. The use of route specific factors for similar facilities, factors by functional system for individual urban or urbanized areas, or factors by route or functional system for State sub-areas having similar characteristics are acceptable if site-specific data is not available.
How often are K and D factors updated by the State and MPOs?
What is the process for calculating these data and assigning them to sample sections? Is the process the same for off-state system locations?
What are the factors being used and are they reasonable? Comment on the range of factors being used.
If improvements are needed in providing more site-specific data, what is the State's schedule and plan?
Percent Trucks
These percents are generally determined from vehicle classification data and applied to sampled roadway sections. Statewide rural and urban truck percents applied to all routes or to entire functional systems should only be used as an interim procedure if site-specific data is not available. The use of route specific percents for similar facilities (characterized by truck routes, land use, geometrics, or other criteria), percents by functional system for individual urban or urbanized areas, or percents by functional system for State sub-areas having similar economic activities and characteristics are acceptable if site specific data is not available. As the State is further implementing a vehicle classification program following the guidance in the Traffic Monitoring Guide (one third of volume counts should be classification counts) more site-specific data should become available each year.
How often does the State update percent truck data?
What is the process for calculating these data and assigning them to sample sections? Is the process the same for off-state system locations?
What are the factors being used and are they reasonable? Comment on the range of factors being used.
How are those locations that are being reported as "0" percent trucks differentiated from those that have few truck rounded to "0" percent?
Is this data shared with MPOs and other agencies?
What is the State's schedule and program for meeting the vehicle classification program guidance in the Traffic Monitoring Guide?
HPMS Field Manual, Chapter IV Item 33 "Annual Average Daily Traffic", Appendices F and G
Traffic Monitoring Guide
AASHTO Guidelines for Traffic Data Programs
Traffic Monitoring System, 23 CFR part 500; subpart B
Numbers refer to additional guidance on following pages.

Additional guidance corresponding to numbers on the flowchart.
Locations should be selected randomly using some criteria such as: past issues, distribution by functional class, functional class and VMT, high volume locations, on state and off state system, and a minimum of 15 locations. Sample and universe sections should be considered.
Was the AADT reported in HPMS based on an actual count taken with traditional traffic monitoring equipment located at the sample location? This would involve reviewing this location in the State's traffic database to see if a count was taken or if it is based on a count from an adjoining roadway section. If a count was not taken, was the AADT based on either of the other two acceptable methods, data from a freeway monitoring system or ramp balancing, which needs to be reviewed to determine acceptability? If the count was based on any other process or information, even if it used that year's data, it is not acceptable for HPMS reporting.
Was the AADT based on a traffic count taken the same year as the reporting year for HPMS? Current year data is required to be reported in HPMS; if this is not the case, then proceed to step 12.
This is typically referred to as an Automatic Traffic Recorder (ATR), which continuously monitors traffic 365 days a year. If this is not an ATR location, proceed to step 5 to determine the acceptability of shorter counts. A 365 day count is usually the most accurate count available based on continuous monitoring at the site. 365 days is the ideal with many locations oftentimes having some missing data.
The amount of missing data needs to be reviewed to assure a minimum of 7 weekday counts each month are available. If there is missing data, how many days or months were missing, and was the count still used? This should be in accordance with State procedures and typically nine months of acceptable data is required to calculate a valid AADT from an ATR count.
To calculate an AADT are all days averaged, are monthly ADTS calculated first then averaged, or is some other method used? If days are missing each month, the preferred method is to calculate a monthly ADT first for each month and then average all the monthly ADTs to get an AADT.
The minimum counting period for all traffic counts is 48 hours. Lesser time is generally not acceptable unless this process is reviewed in step 11. Is the 48 hour count divided by 2 or is the preferred method of averaging the two 24 hour counts used?
For all short term counts (less than an ATR count) a seasonal adjustment factor shall be applied to adjust the count to an annual count based on travel patterns of similar facilities in the State. This factor is developed based on the grouping of ATR locations of similar travel patterns and statistical variability. These are typically factors for each month of the year based on specific groupings unique to your State. Was the proper seasonal factor applied for the month the count was taken as verified from reviewing the State's table of seasonal adjustment factors? If the proper factor was not used or the number doesn't follow the trend from prior years or adjacent months, then an in-depth review of the seasonal factor process should be conducted. The seasonal factor process should be periodically reviewed at least every three years: assistance for this review is available from HPM30 (Traffic Monitoring Division) in the Office of Highway Policy Information. The State should be reviewing this process annually and updating at least every three years.
For all counts less than 7 days (less than 168 hours) a day of week factor shall be applied to adjust the count for variations in daily traffic. This factor usually uses the same grouping of ATR locations as the seasonal adjustment factor groups. This factor adjusts the count to considered different travel patterns typically found on week ends (Friday, Saturday, and Sunday) which is not the time period most counts are typically taken. Sometimes the day of week factor is included in the seasonal adjustment factor discussed in step 6; this needs to be verified if separate day of week factors are not being applied. Was the proper day of week factor applied for the days the count was taken as verified from reviewing the State's table of day of week factors? If the proper factor was not used or the number doesn't follow the trend from prior years or adjacent days or weeks, then an in-depth review of the day of week factor process should be conducted. The day of week factor process should be periodically reviewed at least every three years; assistance for this review is available from HPM30 (Traffic Monitoring Division) in the Office of Highway Policy Information. The State should be reviewing this process annually and updating at least every three years.
For all counts taken that monitor vehicle axles an adjustment shall be made to convert axle counts to vehicle counts. Pneumatic road tubes or other sensors that only monitor one axle at a time typically count axles. If the sensors monitor all axles and axle spacings, or record vehicle length whereby the type of vehicle can be determined, then an axle correction factor is not necessary. An axle correction factor is usually developed from vehicle classification information at that location, adjacent roadway section, or for that factor group. Was the proper axle correction factor applied for the axle count taken as verified from reviewing the State's table of axle correction factors? If the proper factor was not used or the number doesn't follow the trend from prior years or adjacent factor groups, then an in-depth review of the axle correction factor process should be conducted. The axle correction factor process should be periodically reviewed at least every three years; assistance for this review is available from HPM30 (Traffic Monitoring Division) in the Office of Highway Policy Information. The State should be reviewing this process annually and updating at least every three years.
There shall be no other adjustment factors applied to an actual traffic count than the three described in steps 6, 7, and 8. Any other type of factor is not allowable which may include such things as equipment error, simultaneous vehicle hits on sensors, high or low volume adjustments, engineering judgment, or perceived errors. If any of these other non-allowable types of factor were applied, the AADT should be recalculated without these factors.
Was the AADT that was calculated after all adjustments were made rounded so a more general number could be reported? This is an acceptable practice, but not required, provided it is used consistently for all counts. Some States do not round ATR counts just so they can easily identify these counts in their database. Counts rounded for HPMS should also be rounded in the State's database as reviewed in step 14.
Counts that are for less than a 48 hour monitoring period shall be based on some statistical analysis conducted by the State to determine that there is minimal variability in weekday counts concluding that 24 hour are just as accurate as 48 hour counts. The difficulty of counting, lack of resources for longer counts, or the ability to count more locations are not acceptable justifications for providing counts shorter than 48 hours. Counts less than 24 hours are not acceptable. Imputing missing hourly information is not acceptable for any count.
The frequency of counting shall be at least one third of all locations counted on a three year maximum cycle. If counts are older than three years then a recount or current year count is necessary unless the State has an alternate approved count cycle. Has this alternate approach been accepted by FHWA and reviewed recently to determine if it is still reasonable, documented, and acceptable. There may be locations with unusual volumes where this may be appropriate or where the data is obtained from sources such as freeway monitoring data, or other approved sources. Counts taken within three years shall be updated to reflect current year traffic using growth factors calculated by the State based on other count data as reviewed in step 13.
Growth factors shall be applied to all counts not counted in the current year so the AADT will reflect current year travel. Was the proper growth factor applied to the year the count was taken as verified from reviewing the State's table of annual growth factors? If the proper factor was not used or the number doesn't follow the trend from prior years or adjacent functional classes, then an in-depth review of the growth factor process should be conducted following the Process E Flowchart. If a proper growth factor was applied, then no other adjustments are necessary and you should proceed to step 9. The growth factor process should be periodically reviewed at least every three years; assistance for this review is available from HPM30 (Traffic Monitoring Division) in the Office of Highway Policy Information. The State should be reviewing this process annually and updating at least every three years.
The traffic data reported in HPMS shall be the same data the State uses for their own purposes as contained in their traffic database. If this data is different, a review should be made as to why the difference and the need for a resubmittal of traffic data from the State's database may be necessary. Using the same data provides some assurance that it was collected and processed properly following the State's traffic monitoring program and not processed independently for HPMS. This also makes it easier to compare outputs from the HPMS data submittal with the State's data, such as trends in VMT, if the same data is used.
The assistance of the Division pavement specialists should be utilized in conducting pavement reviews focusing on the program to provide quality and timely International Roughness Index (IRI) data for HPMS. This review should evaluate the State's collection of pavement roughness data including collection equipment and procedures for gathering this data. The following issues should be examined:
The original HPMS sample should have been randomly selected from all roads in all geographic areas of the State. Over time both additions and deletions to the sample should also have been accomplished through a random selection process. The use of other than random sampling can introduce bias into the sample, and sample bias can adversely affect expanded sample travel estimates and other HPMS data applications relying on an expanded sample. With greater reliance on using the expanded sample for calculating travel and performance data, good sample management is an important consideration.
Active management of the sample is necessary to assure that the sample continues to represent the universe of roads in the HPMS, to account for road system changes over time, and to account for the normal growth in traffic. Sample management also allows the State to maintain a cost effective sample plan with neither too many nor too few samples.
The HPMS sample should be checked frequently to determine if there are a sufficient number of sections in each traffic volume group. This can be done using the sample adequacy routine in the HPMS submittal software. Adjustments to the sample should be made when necessary and can be done over time to reduce the reporting burden.
The best time to check sample adequacy is in the period immediately following the annual submittal. This permits any sample adjustments to be made in time to meet the next year's reporting date, and allows ample time to accomplish any additional data collection that might be needed for sample additions.
Some of the issues that could be examined include:
HPMS Field Manual, Chapter VII (.pdf, 0.1 mb) and Appendix K (.pdf, 0.1 mb)