Big Data in Transportation: Opportunities and Challenges
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1 2016 Ethics of Big Data Symposium Big Data in Transportation: Opportunities and Challenges Steven T. Parker, Ph.D. Traffic Operations and Safety (TOPS) Laboratory Dept. of Civil and Environmental Engineering Marquette University, Milwaukee, WI April 22, 2016
2 Traffic Operations and Safety (TOPS) Lab Formed in 2003 Part of UW-Madison CEE Department Partnership with Wisconsin Department of Transportation (WisDOT) Three Program Areas Information Technology (IT) ITS / Operations (TSM&O) Traffic Safety Engineering & Microsimulation Research / Government
3 Presentation Outline What is Transportation Big Data? Emerging Sources of Transportation Big Data TOPS Lab WisTransPortal Transportation Research Big Data in Transportation: Opportunities and Challenges
4 Characteristic of Big Data Volume Velocity Variety Veracity Provenance Source USDOT
5 Big Data in Transportation: Connected Vehicles Source USDOT Intelligent Transportation Systems (ITS) represent the integration of advanced communications technologies into the transportation infrastructure and in vehicles in order to improve transportation safety and mobility. Connected Vehicles (CV) represent the future of transportation in which vehicles will exchange data in real-time with other vehicles (V2V) and roadside infrastructure (V2I).
6 Big Data In Transportation: Smart Cities The Smart City represents the full integration of connected and autonomous vehicles (CAV) and smart sensor technology into a city s transportation network.
7 Big Data in Transportation: Probe Data Traditional forms of traffic detection are increasingly augmented by probe- and image-based methods to estimate real-time traffic conditions. Source USDOT
8 Big Data in Transportation: Social Media Mobile apps represent an emerging source of traffic state and driver information through the transmission of device location and other personal data.
9 Big Data in Transportation: Safety and Mobility Source WisDOT Left: The WisDOT Statewide Traffic Operations Center (STOC) control room provides 24/7/365 traffic monitoring, traveler information, and traffic incident call center capabilities. Right: The CODES system provides linkages between police crash reports and hospital records to analyze costs and safety impacts of injury crashes.
10 Big Data in Transportation: Research and Analysis Source NHTSA Source USDOT Left: The SHRP2 Naturalistic Driving Study Dataset contains over 2 Petabytes of in vehicle sensor and video data for over 4 million trips by study participants. Right: The Crash Data Improvement Program (CDIG) honeycomb diagram for safety data integration.
11 TOPS Lab WisTransPortal System Objectives Archived Data Management Real-Time Data Exchange Centralize Access to Data Data & Systems Integration IT Test Bed Environment Research / Government Shared Objectives
12 WisTransPortal Data Sources Traffic Data Crash Data Traffic Incidents Lane Closures Traffic Video ITS Inventory Road Weather Data GIS Roadway Inventory
13 WisTransPortal ATMS Detector Data Deployed in minute records since minute records since 2012 Over 4,000 detectors statewide Over 15 billion observations
14 Opportunities and Challenges Transportation Benefits Safety and Mobility Traveler Information Decision Support Communications Research Data Reuse Ethical Considerations Personal Information Data Reuse Data Linkages Data Management Access and Security Veracity & Provenance
15 Thank You! Steven T. Parker Source: NSF Traffic Operations and Safety (TOPS) Laboratory Dept. of Civil and Environmental Engineering
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