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Application of Big Data Approaches for Traffic Incident Management (2023)

Chapter: Acronyms and Abbreviations

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Page 95
Suggested Citation:"Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Application of Big Data Approaches for Traffic Incident Management. Washington, DC: The National Academies Press. doi: 10.17226/27300.
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Page 95
Page 96
Suggested Citation:"Acronyms and Abbreviations." National Academies of Sciences, Engineering, and Medicine. 2023. Application of Big Data Approaches for Traffic Incident Management. Washington, DC: The National Academies Press. doi: 10.17226/27300.
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Page 96

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95   AADT annual average daily traffic AI artificial intelligence API application programming interface ARNOLD All Road Network of Linear Referenced Data ATMS advanced traffic management system AVL automatic vehicle location CAD computer-aided dispatch CHART Coordinated Highways Action Response Team CHP California Highway Patrol CRS coordinate referencing system CSV comma-separated values CV connected vehicle DOT department of transportation EDA exploratory data analysis EDC-4 Every Day Counts Round 4 EMS emergency medical services ESS environmental sensor stations ETL extract, transform, load FIRST Freeway Incident Response Safety Team FTP file transfer protocol JSON JavaScript Object Notation LRS linear referencing system MADIS Meteorological Assimilation Data Ingest System MassDOT Massachusetts Department of Transportation MDOT Maryland Department of Transportation MIRE Model Inventory of Roadway Elements ML machine learning MMUCC Model Minimum Uniform Crash Criteria MnDOT Minnesota Department of Transportation MoPED Mobile Platform Environmental Data NCEP National Centers for Environmental Prediction NetCDF Network Common Data Form NHS National Highway System NLP natural language processing NOAA National Oceanic and Atmospheric Administration NPMRDS National Performance Measures Research Data Set NWS National Weather Service OPeNDAP Open-source Project for a Network Data Access Protocol Acronyms and Abbreviations

96 Application of Big Data Approaches for Traffic Incident Management OSM OpenStreetMap TDOT Tennessee Department of Transportation TIM Traffic Incident Management TMC traffic management center UDOT Utah Department of Transportation UTC Universal Coordinated Time WGS 84 World Geodetic System 1984 WITS Washington Incident Tracking System WSDOT Washington State Department of Transportation WxDE Weather Data Environment

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 Application of Big Data Approaches for Traffic Incident Management
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Big data is evolving and maturing rapidly, and much attention has been focused on the opportunities that big data may provide state departments of transportation (DOTs) in managing their transportation networks. Using big data could help state and local transportation officials achieve system reliability and safety goals, among others. However, challenges for DOTs include how to use the data and in what situations, such as how and when to access data, identify staff resources to prepare and maintain data, or integrate data into existing or new tools for analysis.

NCHRP Research Report 1071: Application of Big Data Approaches for Traffic Incident Management, from TRB's National Cooperative Highway Research Program, applies the guidelines presented in NCHRP Research Report 904: Leveraging Big Data to Improve Traffic Incident Management to validate the feasibility and value of the big data approach for Traffic Incident Management (TIM) among transportation and other responder agencies.

Supplemental to the report are Appendix A through Appendix P, which detail findings from traditional and big data sources for the TIM use cases; a PowerPoint presentation of the research results; and an Implementation Memo.

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