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Suggested Citation:"Glossary and Terminology." National Academies of Sciences, Engineering, and Medicine. 2019. Practices on Acquiring Proprietary Data for Transportation Applications. Washington, DC: The National Academies Press. doi: 10.17226/25519.
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Page 67

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67 ARC Atlanta Regional Commission ATIS advanced traveler information system ATMS advanced traffic management system ATRI American Transportation Research Institute CSV comma-separated values DBP data business plan DMS dynamic message sign DOT Department of Transportation FAF Freight Analysis Framework FPM Freight Performance Measures Initiative GIS geographic information system GPS global positioning system HOV high-occupancy vehicle HPMS Highway Performance Monitoring System iPeMS Iteris Performance Management System IT information technology KTC Kentucky Transportation Center KYTC Kentucky Transportation Cabinet LBS location-based services MAP-21 Moving Ahead for Progress in the 21st Century MPO metropolitan planning organization MVDS microwave vehicle-detection system NHS National Highway System NPMRDS National Performance Management Research Data Set O-D origin–destination OGC Office of General Counsel PATH California Partners for Advanced Transportation Technology PTI planning-time index RFI request for information RFP request for proposal RITIS Regional Integrated Transportation Information System STOC Statewide Traffic Operations Center TAZ travel analysis zone TMC Traffic Message Channel TRIMARC Traffic Response and Incident Management Assisting the River Cities vph vehicles per hour VPP Vehicle Probe Project XML Extensible Markup Language Glossary and Terminology

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Practices on Acquiring Proprietary Data for Transportation Applications Get This Book
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TRB’s National Cooperative Highway Research Program (NCHRP) Synthesis 541 explores how state departments of transportation (DOTs) and metropolitan planning organizations (MPOs) acquire proprietary data for transportation applications.

Recent technological advancements have led to new types of transportation data with characteristics that include improved quality and greater temporal and wider geographical coverage than traditional data sets. State DOTs and MPOs face challenges associated with obtaining new proprietary data.

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