Development of Area-Specific Lane Distribution Factors for Pavement Design

Yang, Jidong J; Kim, Sonny; Chorzepa, Mi G; Lares, Oscar; Bonam, Ian

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Development of Area-Specific Lane Distribution Factors for Pavement Design

2023-05-01
By Yang, Jidong J ; Kim, Sonny ; Chorzepa, Mi G

File Language:

English

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Creators:

Yang, Jidong J ; Kim, Sonny ; Chorzepa, Mi G ; Lares, Oscar ; Bonam, Ian
Corporate Creators:

University of Georgia. College of Engineering
Corporate Contributors:

Georgia Institute of Technology, Office of Performance-Based Management and Research ; United States. Department of Transportation. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

FHWA-GA-22-xxxx
Resource Type:

Tech Report
Geographical Coverage:

United States;Georgia
Edition:

Final Report (January 2022–May 2023)
Corporate Publisher:

Georgia. Dept. of Transporation. Office of Performance-Based Management and Research
Abstract:

Lane Distribution Factor (LDF) is a critical input for pavement design, and the Georgia Department of Transportation (GDOT) is currently using outdated design LDF values based on old traffic data. To address this issue, a previous study (RP 21-11) was conducted to update statewide design LDF values. The study recommended the adoption of separate LDF tables for different area/facility types to support GDOT’s pavement design practice. However, this finding raises the question of whether specific LDF values should be considered for freight-intensive areas, such as Savannah and Atlanta. Additionally, the previous study was based on four-year (2018-2021) data, which covers only pre-COVID and COVID periods. As COVID restrictions have been removed and life has returned to normal in 2022, this study also aims to evaluate whether there is any remaining COVID impact on LDFs using the latest 2022 data.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/74613/dot_74613_DS1.pdf
File Type:

[PDF - 1015.36 KB]
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:fb59c74daaa2534b942b0bbc5a164ba62859d24740046599f491a1247249cc78c9d9fb2c23c0c541345df6f7deea0540018ae7b952c88a6a9cb2999025046ba7

File Language:

English

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