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750Risk-Based Inspection Program
Dr. Hubo Cai, Purdue University,  December 19, 2019 – November 19, 2021
Objective: The objective of this proposed research is to develop a risk-based inspection program to aid in efficient allocation of available inspection resources (e.g., in house, On-Call). Reducing inspectors on all construction activities carries risks, such as safety concerns, functional failures, oversights, and reduced performance life. Therefore, construction inspection activities should be prioritized and available inspection resources should be allocated to activities that carry more risk. The overall inspections should be reduced using this strategy and provide a cost savings to the Department.
749Estimating AADT on Non-Coverage Roads
Dr. Nathan Huynh, University of South Carolina,  April 1, 2020 – September 30, 2021
Objective: The goal of this project is to develop models for SCDOT to predict AADT at non-coverage count locations.  Currently, there are thousands of such locations on SCDOT-maintained roads and counts at these locations are preformed , at most, every ten years.  The models to be developed in this project will provide SCDOT with more accurate AADT estimates at non-coverage count locations.
748Utilization of Traffic Speed Deflectometer (TSD) for Pavement Management
Dr. Nathan Huynh, University of South Carolina,  February 1, 2020 – April 30, 2021
Objective: The primary objectives of this research will be: (1) to show how the collected TSD data can classify structurally good, fair, and poor pavement sections for primary routes specifically for SCODT; and (2) to present how structural information can be used effectively for selection of potential rehabilitation candidates given limited resources. In addition, this project strives to provide: (1) a comparison of TSD measurements with PMS pavement condition data as the value of the TSD is its ability to collect structural information that is not currently captured by other parameters collected in a PMS; (2) development of structural indices which can classify structurally good, fair, and poor pavement sections; and (3) development of a best methodology to prioritize actual rehabilitation candidates with the collected TSD data in conjunction with current ranking criteria.
747Evaluating the Construction Cost and Schedule Impacts of SCDOT’s Traffic Control Restrictions
Dr. Kalyan Piratla, Clemson University, January 15, 2020 – April 15, 2021
Objective: The overarching goal of this project is to provide technical guidance ot SCDOT in effectively specifying lane closure restrictions on their construction projects.  Effective specification of lane closure restrictions needs to be based on a thorough understanding of the trade-offs between the total project cost, schedule, and user costs.  The following objectives are identified:  (1) synthesize current state-of-the-art and state-of-the-practice in evaluating the impacts of traffic control measures on construction cost, schedule, and user costs; (2) develop and demonstrate an approach for estimating construction cost, schedule, and user cost implications for a specified lane-closure restriction strategy; (3) evaluate the impact of current and previous lane-closure restriction policies on project cost and schedule objectives for different types of SCDOT projects; and (4) develop a user-friendly computational tool that will assist SCDOT’s construction engineers in quickly evaluating the construction cost, schedule, and user cost implications of various lane closure restriction considerations based on a given set of project characteristics.
746SC Flood Inundation Mapping
Ms. Maria Lamm, SC Department of Natural Resources, April 6, 2020 – June 6, 2021
Objective: The overarching objective of this project is to apply an innovative solution to utilize the HEC-RAS 2-Dimensional Rain-On-Grid modeling software to provide real-time inundation maps for South Carolina and SCDOT by leveraging existing data from two of the HUC 8 watershed basins in SC. This modeling software has been previously tested in real-time during a real-word disaster scenario that impacted sizable portions of the coastal region of SC. This research will develop methods that will incorporate a more comprehensive approach over a much larger footprint than what is being attempted by other entities to predict which bridges and roads will be inundated and need closure to ensure public safety during large-scale flood events. The inundation maps will be accessible via a password-protected website administered by SCDNR. In addition, the model will be able to be used as a planning tool for resiliency analysis for existing structures and future projects.
745Update to SCENARIO_PC
Dr. Ronald Andrus, Clemson University, March 1, 2019 – March 3, 2024
Objective: SCENARIO_PC (2006) is used to develop SCDOT current acceleration design response spectra and to develop time histories for use in site-specific response analysis. The objective of this research is to update this program to use Next Generation Attenuation (NGA) models which include models developed by the USGS for the Eastern United States. This research will add capabilities for users to incorporate existing databases for factual time histories and will address existing program issues.
744SCDOT Preconstruction Program Management Manual & Updated  Project Development Process
Dr. Dennis Bausman, Clemson University, March 1, 2019 – April 30, 2021
Objective: The objective of this research is to improve project delivery by streamlining activities, promoting consistent action, and maximizing the efficiency of SCDOT staff.  Further, the project will strive to update and standardize the project development process to assist in the identification of critical tasks, provide clear identification of the initiation responsibilities, and establish detailed expectations for tasks.
743Pavement Performance Curves – Modeling Pavement Deterioration for SCDOT
Dr. Nathan Huynh, The University of South Carolina, March 1, 2019 – February 28, 2022
Objective: The objective of this research is to identify changes in service life resulting from time, vehicular, and environmental wear on asphalt and concrete pavements.  The goal of this project is to provide updated performance curves to model future conditions by studying new construction, existing pavements, and treatment types currently employed by SCDOT for preservation and/or rehabilitation.
742Automatic Extraction of Vehicle, Motorcycle, Bicycle, and Pedestrian Traffic from Video Data
Dr. Nathan Huynh, The University of South Carolina, January 15, 2019 – July 15, 2020
Objective: The objective of this research is to develop image processing algorithms to automatically extract vehicle counts and classifications, as well as counts of motorcycles, bicycles, and pedestrians from real-time and offline videos. An easy-to-use graphical user interface will enable SCDOT staff to obtain multimodal traffic data accurately, safely, and cost-effectively to use for HPMS reporting and prioritize infrastructure design improvements and investments.
741Improving SCDOT Project Delivery Through Identifying Potentially Suitable Locations for Mitigation and Standardizing Section 401/404 Permit Application Process
Dr. Nathan Huynh, The University of South Carolina, September 01, 2018 – August 31, 2021
Objective: The objective of this research is to decrease the unknown risk in the Department’s Section 404 permitting process by standardizing permit application submittals using a web-based, interactive online tool/program. Additionally, this research will develop methods to identify potential mitigation areas/sites within watersheds and/or to assess and/or grade proposed mitigation sites. The SCDOT expects that findings from this project will improve accountability for risk, and cost allocation for both scheduling and budgeting projects.
740Design-Build Project Selection and Effectiveness Evaluation
Dr. Keith Molenaar, University of Colorado, Boulder, March 20, 2018 – June 30, 2020
Objective: To evaluate the effectiveness of SCDOT’s current design-build program, review current project selection processes, identify best practices, identify cost estimating procedures, and develop future effectiveness measuring processes.
739Assessment of Structural Degradation for Bridges and Culverts
Dr. Paul Ziehl, The University of South Carolina, January 1, 2018 – June 30, 2020
Objective: The objective of this project is to assist SCDOT with assessing which nondestructive evaluation/structural health monitoring  (NDE/SHM) technology, or combination thereof, is best suited for a wide variety of inspection needs in South Carolina.  The goal is to select technologies to increase the efficiency and accuracy of inspections while decreasing risks to SCDOT personnel.
738Development of a User’s Manual for Application of the South Carolina Unit Hydrograph Method
Dr. Michael Meadows, The University of South Carolina, January 1, 2018 – July 31, 2019
Objective: The purpose of this project is to develop a user’s manual for the South Carolina Unit Hydrograph Method that includes the most recent improvements and updates, and provides design aids (e.g., forms, spreadsheets) to assist in application of the method.  A training class to educate SCDOT staff in the theory and application of this method would be provided at the end of the project.
737Adaptive Signal System Safety Impacts
Dr. Ronnie Chowdhury, Clemson University, November 1, 2017 – December 31, 2020
Objective: Adaptive signal systems continuously change traffic signal timings to meet current traffic volume demands, as opposed to a typical coordinated signal system where timings are set to be the same each day based on historical traffic patterns. SCDOT has recently added several adaptive signal systems throughout the state, with more planned in the near future. Currently, it is unknown the extent of how adaptive signal systems are able to improve safety along corridors as compared to typical “time of day” signal coordination. Theoretically, signal systems better coordinated to traffic patterns will reduce vehicle stops and congestion, and therefore reduce rear-end collisions and collisions as a whole. The objective of the research is to determine the reduction in crashes due to the installation of the adaptive signal system. Before and after data will be collected on the corridors to include number and type of crashes, vehicular volume, and travel time (congestion) data. For corridors that are parallel routes to interstates, further analysis for those sections of interstate and the reduction in secondary crashes due to traffic being more efficiently routed through parallel adaptive corridors.
736Characterization of Bases and Subbases for AASHTO ME Pavement Design
Dr. Serji Amirkhanian, Tri-County Technical College, September 1, 2017 – December 31, 2019
Objective: The goal of this research is to identify material level 1, level 2, and level 3 inputs and properties for Graded Aggregate Base (GAB), Cement Stabilized Aggregate Base (CSAB), Cement Modified Recycled Base (CMRB), Soil-Cement, Cold in Place Recycling (CIR) with Foam, CIR with Emulsion required for use in the MEPDG. In addition, the research will investigate relationship between laboratory and field testing properties for each material type by comparing lab results to field results.
735Development of Pavement Investigation Strategies for Non-Interstate Routes
Dr. Nathan Huynh, The University of South Carolina, October 1, 2017 – April 30, 2020
Objective: The current SCDOT method of design for rehabilitation of non-interstate routes was developed with production in mind. While this has served the Department well for many years, we are faced with worsening pavement conditions, and new options for design and treatments that should be considered. Increased investigation and investment of resources on the design end may create savings on the construction and maintenance end with better selection of rehabilitation strategies and reduction of contractor risk during bidding. This research will evaluate the cost vs. benefit of additional investigation during design. The results will be used to form a guide focused on providing SCDOT with best practices for project-level investigation and a decision matrix for rehabilitation treatments. This research and guide will integrate with and supplement current efforts on pavement preservation, FHWA/SCDOT agreements on maintenance activities (preservation, reconstruction), and in-house research on FDR.
734SCDOT Crash Analysis Using Precisely Geocoded Crashes
Wayne Sarasua, Clemson University, September 11, 2017 – August 11, 2019
Objective:  Recent research has shown that the new SCCATS has resulted in dramatically improved crash positioning that can facilitate broad-based statewide safety analysis. Currently, the SCDOT’s method for safety analysis is primarily through the Department’s Road Inventory Management System (RIMS). RIMS has extensive information, but is challenging as a primary tool for crash analysis of midblock segments.  This research will use a fixed-length segmentation approach to identify the Top 500 midblock segments that have the highest crash incidents in the state. Each of the fixed length segments will be analyzed for potential counter measures using Crash Modification Factors developed in recent SCDOT research. Benefit-cost ratios will be identified for different alternatives. Research results will identify high crash patterns involving driveways and other access management issues and will be designed to work in conjunction with RIMS.
733Updating Techniques for Estimating Magnitude and Frequency of Floods for Rural Basins in the Southeastern United States
Toby Feaster, U.S. Geological Survey, August 25, 2017 – August 25, 2021
Objective: The objectives of this research project are to: (1) update magnitude and frequency of peak flows for rural, unregulated USGS stations in South Carolina where adequate data are available; (2) when appropriate and based on reviews of the data, update magnitude and frequency of peak flows at regulated USGS gages in South Carolina; (3) in coordination with the USGS South Atlantic Water Science Center NC and GA offices and the USGS Office of Surface Water, update the regional generalized skew coefficient for NC, SC, and GA; 4) in coordination with the USGS South Atlantic Water Science Center NC and GA offices, update the regional rural flood-frequency equations for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent chance exceedance flows; (5) update the StreamStats application to include the new gage flood-frequency estimates and the new regional regression equations; and (6) develop procedures for updating the flood-frequency estimates for stations on an annual basis with the results being provided through the StreamStats application.
732Calibration of the AASHTO Pavement Design Guide to SC Conditions – Phase II
Dr. Sarah Gassman, University of South Carolina, January 6, 2017 – July 5, 2021
Objective: The overarching goal of this multi-phase research effort is to reduce design bias and increase precision of the model predictions used in MEPDG with full consideration of South Carolina local conditions. The objective of Phase II will be to build upon the studies in Phase I to obtain local calibration factors and improve distress predictions by collecting new data of high priority.
725Evaluation of Open Graded Friction Courses: Construction, Maintenance, and Performance, Phase II
Dr. Brad Putman, Clemson University, November 18, 2015 – November 17, 2020
Objective: The main objective of this study is to determine how to improve the longterm durability and performance of open graded friction course (OGFC) mixtures in South Carolina. The results of this project will enhance the understanding of the factors associated with OGFC long-term durability, thus increasing the likelihood of designing and constructing longer lasting OGFC layers on South Carolina roadways that are safer and have lower life-cycle costs.
710Determination of Changes in Water Quality, Streambed Sediment, and Benthic Macroinvertebrates as a Result of Stormwater Runoff from Selected Bridges in South Carolina
Noel M. Hurley, Jr., USGS, June 1, 2013 – December 31, 2019
Objective: The primary objective of this investigation is to quantify the downstream changes in receiving water-quality conditions during periods of observable stormwater runoff from selected bridge decks in South Carolina. The information collected will help to estimate or predict changes in water quality at bridge crossings with similar characteristics.  Results of the study may be used by the South Carolina Department of Transportation (SCDOT) to reduce the SCHDEC requirements for bridge run-off treatments as part of the CWA Section 401 certification process.  These treatment reductions should potentially result in cost savings to the SCDOT.