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IntelliDrive SM Connectivity − Mobility

IntelliDrive SM Connectivity − Mobility. ITS America Webconference USDOT Overview for the Private Sector Transportation Data Community Ben McKeever, Gene McHale, Bob Rupert FHWA 13 September 2010. IntelliDrive is a service mark of the U.S. Department of Transportation. Drivers. Vehicles.

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IntelliDrive SM Connectivity − Mobility

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  1. IntelliDriveSMConnectivity − Mobility ITS America Webconference USDOT Overview for the Private Sector Transportation Data Community Ben McKeever, Gene McHale, Bob Rupert FHWA 13 September 2010 IntelliDrive is a service mark of the U.S. Department of Transportation.

  2. Drivers Vehicles Infrastructure Wireless Devices What is IntelliDriveSM? • IntelliDriveSM is a suite of technologies and applications that use wireless communications to provide connectivity: • Among vehicles of all types • Between vehicles and roadway infrastructure • Among vehicles, infrastructure and wireless consumer devices

  3. IntelliDrive Program Structure Applications Technology Policy

  4. Evolution of IntelliDrive Deployment • Original VII Deployment Model • DSRC based for all applications • Infrastructure intensive using new DSRC technology • Vehicle turnover for embedded DSRC technology • Start with V2I (for all application types) and evolve into V2V (safety) • US DOT’s Current Perspective on IntelliDrive Deployment • Non-safety (mobility, environment) • Leverage existing data sources & communications; include DSRC as it becomes available • Support development of key applications for public agencies using current data sources and evolving probe data from IntelliDrive • Safety  DSRC • Aggressively pursue V2V; leverage vehicle capability for V2I spot safety • Can leveraging of nomadic devices & retrofitting accelerate benefits? • Infrastructure requirement for security is still a TBD

  5. IntelliDriveSM Mobility Data Environment Mobility and Environmental Applications Real-time Data Capture and Management Reduce Speed 35 MPH Transit Signal Priority Weather Application Fleet Management/ Dynamic Route Guidance Truck Data Transit Data

  6. Real-Time Data Capture and Management Vision • Active acquisition and systematic provision of integrated, multi-source data to enhance current operational practices and transform future surface transportation systems management Objectives • Enable systematic data capture from connected vehicles (automobiles, transit, trucks), mobile devices, and infrastructure • Develop data environments that enable integration of data from multiple sources for use in transportation management and performance measurement • Reduce costs of data management and eliminate technical and institutional barriers to the capture, management, and sharing of data

  7. Creating a Data Environment Data environment: • well-organized collection of data of specific type and quality • captured and stored at regular intervals from one or more sources • systematically shared in support of one or more applications Data Capture Data Environment Information Raw Data Application

  8. How Do We Structure The Data? Key Issues in Defining A Data Environment What Data Do We Keep? What Data Do We Capture? How Do We Use The Data? How Do We Structure The Data?

  9. USES SOURCES Data Sources and Uses SOURCES USES PERFORMANCE MEASUREMENT TRAVELER ECO- DRIVE QUEUE WARNING LOCATION DECISIONS TRAVELER INFORMATION VEHICLE ENVIR. MOBILITY SAFETY LIGHT VEHICLE TRANSIT FREIGHT VARIABLE SPEED LIMITS INFRASTRUCTURE OTHER OTHER OTHER LOOP RADAR OTHER

  10. Data Aggregationand Structure AGGREGATION AGGREGATION STRUCTURE AREA-WIDE AGGREGATION STANDARDS ACCESS QUALITY IP RAW DATA PRIVACY STORAGE STRUCTURE REGULATION STRUCTURE AGGREGATION

  11. T V I T T V V I I Potential Interim States Data Environment Evolution Potential End State Current State TRAVELER TRAVELER “nearly zero” “some” VEHICLE VEHICLE “a few” “nearly all” INFRASTRUCTURE INFRASTRUCTURE “where needed” “some”

  12. GOVERNANCE HISTORY/CONTEXT VIRTUAL WAREHOUSING META-DATA Elements of Data Capture and Management • Meta data: • Provision of well-documented data environment • Virtual warehousing: • Supports access to data environment and forum for collaboration • History/context: • Objectives of data assembly • Governance: • Rules under which data environment can be accessed and procedures for resolving disputes Capture Data Environment Information Raw Data Application

  13. Projected Outcomes • Establish one or more data environments • Broad collaboration supporting data environment utilization • Implementation of data management processes representing best practices

  14. Dynamic Mobility Applications Vision • Expedite development, testing, commercialization, and deployment of innovative mobility applications: • maximize system productivity • enhance mobility of individuals within the system Objectives • Create applications using frequently collected and rapidly disseminated multi-source data from connected travelers, vehicles (automobiles, transit, freight) and infrastructure • Develop and assess applications showing potential to improve nature, accuracy, precision and/or speed of dynamic decision making by system managers and system users • Demonstrate promising applications predicted to significantly improve capability of transportation system to provide safe, reliable, and secure movement of goods and people

  15. Guiding Principles • Leverage multi-source data • Develop and test mode-specific and multi-modal applications • Feature open source application research and development • Encourage competitive application commercialization • Prioritize program resources based on expected impact • Enhance analytical capabilities related to mobility applications • Practice long-term technology stewardship

  16. Leverage Multi-Source Data VEHICLES FREIGHT LIGHT VEHICLE • Leverage high-quality data integrated from mobile and fixed sources to develop multiple applications (mode-specific and multi-modal) • Requires coordination with Real-Time Data Capture and Management program TRANSIT INFRASTRUCTURE TRAVELERS DATA ENVIRONMENT c a MODE-SPECIFIC APPLICATIONS (e.g., for freight vehicles) CROSS-MODAL APPLICATIONS (e.g., for system managers) b MULTI-MODAL APPLICATIONS (e.g., for travelers)

  17. Multi-Modal Applications Development and Test • Coordinated development of mode-specific and multi-modal applications: • avoid duplication • cost-effective INFRASTRUCTURE FLEET OPERATORS VEHICLES MANAGERS c DATA ENVIRONMENT b a APPLICATIONS TRAVELERS TRAVELERS

  18. Open Source Research and Development • Research issue is too complex or big for isolated researchers to solve • Promotes highest level of collaboration • Preserves intellectual capital • Serves to engage partners from academia and industry who may not be directly involved in funded applications development and testing • Currently seeking to refine how best to structure open source agreements • maximize collaboration • without reducing innovation or endangering commercialization

  19. PUBLIC SECTOR FOCUS COOPERATIVE RESEARCH AND DEVELOPMENT TECHNOLOGY TRANSFER OPEN SOURCE DEVELOPMENT OPEN DATA COMPETITIVE APPLICATION COMMERCIALIZATION PRIVATE SECTOR FOCUS RESEARCH COMMERCIALIZATION DEVELOPMENT SUPPORT Encourage competitive application commercialization APPLICATION DEPLOYMENT LIFE-CYCLE

  20. Prioritize resources based on expected impact • Develop prototype mobility application that focuses on performance measures: • exploits new or integrated data sources • enhances traditional measures or creates new measures to capture full impact of mobility applications • Prioritization of development and test of candidate applications: • applications must improve system productivity or user mobility • well-defined, quantitative performance measures (multi-modal or mode independent) • applications must have broad stakeholder interest and support

  21. Enhance analytical capabilities • Develop analytic tools and processes to accurately predict impacts: • assess long-term performance • use real-time prediction to support improved decision making by travelers, system managers and other transportation system stakeholders (e.g., fleet operators) • Employ tools to refine and identify promising applications prior to committing resources for field testing or full demonstration

  22. Practice long-term technology stewardship

  23. Projected Outcomes • Multiple applications developed leveraging multi-source data • Research spurs commercialization • Applications enable transformational change

  24. Keys to Success for IntelliDrive Mobility • Facilitate easy, secure access to data environment and enable collaboration in mobility application development • Accumulate and share intellectual capital while respecting IP rights • Coordination with other IntelliDrive program areas and broader ITS programs • Active interaction with broader group of stakeholders outside the federal research and development efforts • Not a one-time engagement, will require ongoing collaboration to: • refine program goals • refine data needs • structure relevant and feasible data environment development efforts • prioritize applications development and testing

  25. Getting Involved • Provide feedback on program direction, goals, data environment, mobility applications • Respond to upcoming funded requests for research and development of mobility applications • Seek to leverage IntelliDrive data and applications resources in other non-federal or non-IntelliDrive federally funded research projects • Offer new data sets and applications • Actively commercialize mobility applications developed within the IntelliDrive program • Utilize the IntelliDrive Prototype Data Environment • Submit application concepts using the Candidate Applications Template

  26. Data Capture Prototype Data Environment • https://datacapture.noblis.org/ • Data (and meta-data) from the Michigan IntelliDrive Test Bed • Documented probe data samples from recent tests (POC/NCAR) • Trajectory Conversion Analysis (TCA) program • Simulated 100% market penetration data for the test bed contributed by the University of Michigan Transportation Research Institute (UMTRI) • Forums for researchers to register projects, flag erroneous data, contribute analyses and data views

  27. Data Capture and Mngmt Future Activities • Investigations into state-of-the-practice for technologies, institutional and policy, and standards • Broad Agency Announcement (BAA) for Test Data Sets • Acquisition and hosting of IntelliDrive funded data, such as • Near term performance measures demo • Safety Pilot • Mobility Application Demos • IntelliDrive Test Bed • Development of data environments to support Mobility applications

  28. Candidate Mobility Applications Concepts Goal • Identify, with help of stakeholders, collection of applications for development and testing in Phase 2 of Program Approach • Solicit ideas for transformative applications that improve decision making by system managers and users • Template available for submission of ideas at: http://www.its.dot.gov/intellidrive/app_template/DMA_template.htm • Initial request closed on 31 July; second call issued (closes 15 October) • 46 submittals with 49 application ideas (as of 31 August) • Combine suggested applications of interest to condensed list to avoid duplication • Prioritize condensed list for future development and testing

  29. Mobility Applications Template Summary of Submittals to Date (46 received) Contributor types: • Academia: 7 • State/local government: 14 • Private sector: 10 • Federal government: 5 • Non-government organization: 4 • VII Day One: 6 • Types of Applications: • Traffic Control: 4 • Traveler Information: 11 • Active Traffic Management: 11 • Transit-related: 10 • Freight-related: 7 • Rural: 4 • Pedestrians/Bicycles: 2 • Weather-related: 4 • Other / unrelated: 9 Summary report available at: http://www.its.dot.gov/intellidrive/app_template/DMAcandidateAppsSummaryAug.htm

  30. Submitting New Concepts • Got a transformative idea that utilizes IntelliDrive data? • Fill out template online: http://www.its.dot.gov/intellidrive/app_template/DMA_template.htm • Or, fill out a template off-line and send it via e-mail • Template requires high-level description of idea • Problem being addressed • Transformative benefits • How the idea makes use of IntelliDrive data • Deadline for getting your idea in: 15 October 2010

  31. Near-Term Performance Measurement Demonstration 35 • Goal: • In CY 2011, potentially initiate one or more field demonstrations • Utilize IntelliDrive data from probe vehicles, mobile devices and infrastructure sensors • Measure and characterize overall transportation system productivity (not just facility or mode) and individual mobility (across modes) • Proposed Elements • Multi-source data capture and integration (vehicles, rail, freight, travelers) to support innovation in performance measurement • Critical mass demonstration in a complex (multi-modal) system • Share data from demonstration through Data Capture program

  32. For More Information… http://www.intellidrive.org/

  33. Contact Information • Ben McKeever, FHWA • ben.mckeever@dot.gov • Gene McHale, FHWA • gene.mchale@dot.gov • Bob Rupert, FHWA • robert.rupert@dot.gov

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