Utilizing automatic identification tracking systems to compile operational field and structure data.

Details

• Creators:
  Amde, A.M. ; Saad, T. ; Majekodunmi, F. ; Villatoro, J. 
• Corporate Creators:
  University of Maryland (College Park, Md.). Dept. of Civil and Environmental Engineering
• Subject/TRT Terms:
  Asset Management Automatic Data Collection Systems Detection And Identification Systems Management Information Systems Materials Management Monitoring Radio Frequency Identification Return On Investment Software
• Publication/ Report Number:
  MD-14-SP209B4G
• Resource Type:
  Tech Report
• Geographical Coverage:
  Maryland
• Corporate Publisher:
  Maryland. State Highway Administration. Office of Policy & Research
• Abstract:
  The Maryland State Highway Administration’s (SHA) Office of Materials Technology (OMT) ensures that the quality of 
  
  materials used on Maryland’s roadway system are properly designed, produced, and built to the approved codes and 
  
  standards. The Materials Quality divisions of OMT are structured into the Asphalt Technology, Concrete Technology, 
  
  Soils and Aggregate Technology, and Structural Materials and Pavement Markings divisions.  Each division is responsible 
  
  for the quality assurance/control testing, evaluation, and clearance of the materials used in transportation facility 
  
  construction. From the time the materials are sampled in the field, the management of these materials relies on a 
  
  series of intensive human processes involving sample collection and delivery, written reports and log books to record 
  
  materials’ laboratory test results and track logistical information.  As the materials travel throughout the six different 
  
  laboratories, material information is manually recorded into a localized network database and the Material 
  
  Management System (MMS) separately.  The current amount of human involvement necessary in the generation of 
  
  sample reports and manual data entry process can be streamlined with the integration of Automatic Identification 
  
  Technology (AIT). This study investigates past implementations of AIT into civil engineering and construction 
  
  applications to detail necessary modifications to OMT’s existing material clearance and MMS processes; as well as AIT 
  
  system hardware recommendations, software development and integration considerations, estimated investment 
  
  costs, and estimated return on investment.
  
  
• Format:
  PDF
• Funding:
  SP209B4G
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:66eff57c648afddcd8fd37bbaf0e41538cd9a74fc0c31cba26ece519c6d01aae
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/27349/dot_27349_DS1.pdf
• File Type:
  [PDF - 4.68 MB ]