STUDY ON SPECTRUM OPTIONS FOR GDOT’S CONNECTED VEHICLE INFRASTRUCTURE
PI: Seungmo Kim
Co-PI(s):
Institution(s): Georgia Southern University
Abstract
To investigate the feasibility of operating the existing DSRC devices in unlicensed bands, e.g., industrial, scientific and medical (ISM) bands and to analyze the technical impacts of the transition from DSRC to C-V2X in the spectrum of 5.895-5.925 GHz, compliant with the recent regulatory change by the FCC.
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STRATEGIC PRIORITIZATION IN BRIDGE ASSET MAINTENANCE THROUGH DATA DRIVEN LONG-TERM ASSET VALUATION WITH ADDITIONAL EMPHASIS ON PROMOTING GDOT’S PARTNERSHIPS WITH COUNTIES
PI: Mi G. Chorzepa
Co-PI(s): Stephan Durham
Institution(s): University of Georgia
Abstract
The purpose of this project is to find ways to optimize bridge and transportation asset management and maintenance in the state of Georgia. This will be accomplished in a multitude of ways, but this project looks to bridge the gap in resources and knowledge between not only GDOT and local counties, but also among the counties themselves. To do this, this team will be developing an inspection guide, a resource guide, and an asset life-cycle analysis plan. Bridging the resource and knowledge gap between GDOT and local governments, as well as county to county, will go a long way towards fixing the divide between the conditions of state-owned transportation assets and local transportation assets.
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ENHANCING THE GDOT’S MAINTENANCE DECISION TREES CONSIDERING THE EFFECTIVENESS OF VARIOUS TREATMENT OPTIONS IN DIFFERENT GEOGRAPHICAL LOCATIONS AND OVER TIME
PI: Brian Moore
Co-PI(s): Baabak Ashuri
Institution(s): Kennesaw State University & Georgia Institute of Technology
Abstract
This research aims to help the Georgia Department of Transportation (GDOT) Office of Maintenance better allocate funding and improve maintenance strategies at the network level through updating the decision tree considering temporal and spatial variation in cost, deterioration rate, and maintenance effectiveness. The GDOT has adopted a comprehensive pavement management measure, Overall Condition Index (OCI). The OCI serves as a basis to trigger maintenance and rehabilitation. It is derived by averaging six distress indices, load cracking, edge cracking, block cracking, reflective cracking, rutting, raveling, and an additional adjustment index score for asphalt pavements. This new measure takes advantage of the automated data collection method, however, the corresponding maintenance and rehabilitation criteria for pavements need to be studied and updated considering regional effects, cost variation, the effectiveness of different treatment options, and decision timing. The major objective of this research is to enhance the GDOT’s maintenance decision trees through: (a) empirically analyzing the effectiveness of various treatment options in different geographical locations and climate conditions across the state; (b) improving lifecycle cost estimates for the treatment options; and (c) conducting tradeoff analysis among various maintenance strategies (e.g., 20% pavement improvement vs. wait and replace the entire pavement), in order to determine the optimal strategy that can be implemented over time. The updated framework for maintenance and rehabilitation projects can help the GDOT better plan investments to improve the conditions of its strategic assets, and thus, allocate its limited resources more efficiently and effectively to various project types in different districts. Substantial amounts of cost-saving are anticipated as the result of updating the decision tree and utilizing optimal strategies for intervention.
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UPDATING LANE DISTRIBUTION FACTORS FOR PAVEMENT DESIGN
PI: Jidong J. Yang
Co-PI(s): Sonny Kim, and Mi Geum Chorzepa
Institution(s): University of Georgia
Abstract
The Lane Distribution Factor (LDF) is a critical input in pavement design. The LDF values can be outdated due to many reasons, such as population and economic growth, demographic and travel behavior changes, technology adoption, among others. Using the outdated LDFs could potentially result in over or under-design of pavement structure. Thus, the LDF values require timely update to reflect true truck traffic distribution across lanes. In this study, a hierarchical model is developed using the latest statewide traffic data to estimate the LDF values and update LDF design tables.
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EVALUATION AND PRACTICAL ASSESSMENT OF GROUND PENETRATING RADAR (GPR) FOR BRIDGE DECK ASSESSMENT
PI: Hossein Taheri
Co-PI(s): Saman Hedjazi
Institution(s): Georgia Southern University
Abstract
The maintenance of transportation infrastructure relies on dependable testing methods for the evaluation of materials and components to ensure proper repair can be done where needed. Particularly, non-destructive testing (NDT) techniques are desirable in many cases to avoid destructive testing procedures, which damage the tested area. Ground penetrating radar (GPR) is widely used NDT technique that operates based on electromagnetic energy principles. This project studies the possibilities and limitations of GPR for evaluating a bridge deck by assessing the following: determining slab depth, locating rebar, and finding areas of rebar corrosion and possible delamination. After evaluating the GPR scans for these parameters, cores were taken for visual inspections.
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This research proposes to combine academic literature as well as unpublished research, computational models, GDOT personnel and repair contractor interviews, plus experimental investigations to recommend a tiered acceptance system with specific limits that can be used by GDOT and industry to determine the appropriate path for girders with the most relevant non-conformance issues.
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