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Georgia Institute of Technology

Data-driven pavement maintenance and rehabilitation strategies for a new state route prioritization system

Abstract

dc:description.abstract

GDOT, which is responsible for a large network of primarily asphalt pavements, has been utilizing a model developed by Georgia Tech under Research Project 05-19 for its current performance analyses. While the model provides an adequate analysis of pavement performance within the network and adheres to both the MAP-21 and the FAST Act, the current model has not been updated in nearly 10 years. Because the existing model is a probabilistic model, the prediction power of the model suffers without the use of current data. Additionally, the GDOT has implemented a new policy that identifies the priority of pavement projects based on importance and utilization. The introduction of the new policy provides an opportunity to better categorize the current pavement system to maximize utilization of the GDOT’s resources for maintenance. Advances in segment-level survey collection documentation also provides a potential area of improvement as the data enables Maintenance, Rehabilitation, and Reconstruction (MR&R) trigger criteria to be studied. By utilizing new techniques, policies, and data, the existing model used by GDOT for the PMS can be improved. Questions about improved data processing, model development using pavement priority categories, and trigger criteria information can be answered by updating the previous model and utilizing the COPACES system. The results should be able to more efficiently and cost-effectively manage GDOT’s pavement preservation planning at a network level.

Degree

thesis:*
Level thesis:degree_level
Masters
Department dc:contributor.department
Civil and Environmental Engineering
Grantor dc:publisher
Georgia Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gardner, Lauren Jessica

Subjects

dc:subject × 2

Rights

Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1853/60310
OAI identifier oai:identifier
oai:repository.gatech.edu:1853/60310

Chain of custody

source
Harvested from
Georgia Tech
Base URL
repository.gatech.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Gardner, Lauren Jessica. Data-driven pavement maintenance and rehabilitation strategies for a new state route prioritization system. Masters thesis, Georgia Institute of Technology, 2018. http://hdl.handle.net/1853/60310