Leveraging Big Data to Improve Traffic Incident Management (2019) / Chapter Skim
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Pages 181-196
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181 A P P E N D I X B Incident Response and Clearance Ontology (IRCO) B.1 What Is an Ontology?
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182 Leveraging Big Data to Improve Traffic Incident Management workshop focused on the former objective, and the afternoon session of the workshop focused on the latter objective. The workshop was conducted in Phoenix, Arizona, at the Arizona Department of Public Safety (AZDPS)
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Incident Response and Clearance Ontology (IRCO) 183 using an ontology web development environment in which developers and testers can collaboratively design, test, publish, and maintain the IRCO.
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184 Leveraging Big Data to Improve Traffic Incident Management Source: Barrachina et al.
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Incident Response and Clearance Ontology (IRCO) 185 Figure B-2.
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Table B-1. IRCO ontology classes.
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tool Class equipment a tool involved in an incident response traffic_conditions Class incident_environment Event Event Event traffic conditions events around the time and location of an incident vehicle Class incident_object a vehicle involved in an incident weather_conditions Class incident_environment Event Event Event weather conditions events around the time and location of an incident tweet Class social_media Event Event Event a tweet from social media website Twitter around the time and location of an incident incident_time Class TemporalEntity incident time details (start, end, duration, etc.) media Class Thing media such as image, video or sound traffic_conditions_location Class 'Spatial Thing' traffic conditions details (latitude, longitude, fips, zipcode, etc.)
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188 Leveraging Big Data to Improve Traffic Incident Management B.2.4 IRCO Object Properties Table B-2 lists the various object properties defined in the IRCO ontology and their definition. Table B-2.
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Table B-3. IRCO ontology data properties.
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Table B-3. (Continued)
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Incident Response and Clearance Ontology (IRCO) 191 B.3 The Incident Response and Clearance Ontology Figure B-3 shows a graphical representation of the resulting IRCO ontology.
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Abbreviations and acronyms used without definitions in TRB publications: A4A Airlines for America AAAE American Association of Airport Executives AASHO American Association of State Highway Officials AASHTO American Association of State Highway and Transportation Officials ACI–NA Airports Council International–North America ACRP Airport Cooperative Research Program ADA Americans with Disabilities Act APTA American Public Transportation Association ASCE American Society of Civil Engineers ASME American Society of Mechanical Engineers ASTM American Society for Testing and Materials ATA American Trucking Associations CTAA Community Transportation Association of America CTBSSP Commercial Truck and Bus Safety Synthesis Program DHS Department of Homeland Security DOE Department of Energy EPA Environmental Protection Agency FAA Federal Aviation Administration FAST Fixing America's Surface Transportation Act (2015) FHWA Federal Highway Administration FMCSA Federal Motor Carrier Safety Administration FRA Federal Railroad Administration FTA Federal Transit Administration HMCRP Hazardous Materials Cooperative Research Program IEEE Institute of Electrical and Electronics Engineers ISTEA Intermodal Surface Transportation Efficiency Act of 1991 ITE Institute of Transportation Engineers MAP-21 Moving Ahead for Progress in the 21st Century Act (2012)
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TRA N SPO RTATIO N RESEA RCH BO A RD 500 Fifth Street, N W W ashington, D C 20001 A D D RESS SERV ICE REQ U ESTED N O N -PR O FIT O R G .
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