United States Department of Transportation
ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners.
As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.
i
Estimating Design Lane Truck Volumes from HPMS Traffic Data for Long-Term Pavement Performance Analyses
-
2023-11-01
[PDF-1.73 MB]
Details:
-
Creators:
-
Corporate Creators:
-
Contributors:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
Edition:Final Report
-
Contracting Officer:
-
Corporate Publisher:
-
Abstract:This report documents methodologies, predictive models, and computational procedures to estimate annual average daily truck traffic (AADTT) and AADTT by Federal Highway Administration (FHWA) vehicle classification in pavement design lane using Highway Performance Monitoring System (HPMS) data as inputs. The predictive models use as input variables roadway or directional annual average daily traffic (AADT), AADT of single-unit trucks, AADT of combination trucks, the functional classification of roadway, the number of lanes in the direction of travel, and the State identification. The models produce as output the design lane AADTT or AADTT by FHWA vehicle classification needed by the LTPP and Mechanistic-Empirical Pavement Design Guide (MEPDG) models. First, the Simple Default model parameters were computed for each State because truck types vary considerably from State to State due to differences in truck weight laws. Second, more detailed model parameters were developed for the States that supplied vehicle classification data to FHWA’s Travel Monitoring Analysis System (TMAS). For States that did not supply data to FHWA’s TMAS, model parameters were computed based on available vehicle classification data from the Long-Term Pavement Performance (LTPP) database. State highway agencies can use the computed parameter tables and equations described in this report to convert HPMS traffic data to design lane-specific AADTT by FHWA vehicle classification or for all heavy vehicle classes (trucks) combined for use with LTPP and MEPDG models to support statewide or network-level pavement performance analyses and pavement management decisions.
-
Format:
-
Funding:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type:
