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Application of Big Data Approaches for Traffic Incident Management (2023) / Chapter Skim
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Pages 95-96

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From page 95...
... 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
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From page 96...
... 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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