1. 1 IntelliDrive SM Connectivity − Mobility

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

3. Networked Environment 3

4. Why IntelliDrive SM ? Safety Problem 40,000 highway deaths/year 6 million crashes/year Leading cause of death for ages 4 to 34 Safety Benefits Dramatically reduced fatalities and injuries through greater situational awareness: – Driver Advisories – Driver Warnings – Vehicle Control 4

5. Why IntelliDrive SM ? Mobility Problem 4.2 billion hours of travel delay $78 billion annual drain on US Economy Mobility Benefits Information-rich environment benefits users and operators of all travel modes: – Travelers have real-time information on rerouting or “modal shift” options – System operators have real-time data to enable better system operations for optimal performance – Planners can use data to improve major investment plans 5

6. Why IntelliDrive SM ? Environmental Problem 2.9 billion gallons of wasted fuel each year 22% CO2 emissions from vehicles Environmental Benefits ↓Emissions ↓Greenhouse Gases ↓ Particulates: – Reduced stopping/starting at traffic signals which consumes 3-5 times more fuel than constant driving – Nav systems with real time information can reduce fuel consumption by 10.5% over systems without real time traffic data 6

7. IntelliDrive SM Mobility 7 Data Environment Real-time Data Capture and Management Safety, Mobility, and Environmental Applications

8. 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 8

9. 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 Environment Application Data Capture Information Raw Data 9

10. Key Issues in Defining A Data Environment What Data Do We Keep? How Do We Structure The Data? What Data Do We Capture? How Do We Use The Data? 10

11. Data Sources and Uses SOURCES USES SOURCES USES MOBILITY SAFETY ENVIR. TRANSITFREIGHT LIGHT VEHICLE LOOP RADAR OTHER VEHICLE INFRASTRUCTURE LOCATION DECISONS TRAVELER PERFORMANCE MEASUREMENT TRAVELER INFORMATION VARIABLE SPEED LIMITS OTHER ECO- DRIVE QUEUE WARNING 11

12. STRUCTURE Data Aggregation and Structure STRUCTURE AGGREGATION AREA-WIDE AGGREGATION RAW DATA QUALITY IP PRIVACY ACCESS STANDARDS REGULATION STORAGE AGGREGATION STRUCTURE 12

13. Current State TRAVELER VEHICLE < 0.1% < 1% INFRASTRUCTURE 15-20% Potential Interim States T V I T V I T V I VEHICLE TRAVELER ~ 99% ~ 3-5% “a few” “nearly all” INFRASTRUCTURE “where needed” ~ 40% End State Data Environment Evolution 13

14. GOVERNANCE HISTORY/CONTEXT VIRTUAL WAREHOUSING Application META-DATA Capture Information Raw 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 Data Environment 14

15. Projected Outcomes Establish one or more data environments Broad collaboration supporting data environment utilization Implementation of data management processes representing best practices 15

16. 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 16

17. 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 17

18. Leverage Multi-Source Data 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 DATA ENVIRONMENT MODE-SPECIFIC APPLICATIONS (e.g., for freight vehicles) a b c VEHICLES TRAVELERS INFRASTRUCTURE TRANSIT FREIGHT LIGHT VEHICLE MULTI-MODAL APPLICATIONS (e.g., for travelers) CROSS-MODAL APPLICATIONS (e.g., for system managers) 18

19. Multi-Modal Applications Development and Test Coordinated development of mode-specific and multi-modal applications: – avoid duplication – cost-effective a b c DATA ENVIRONMENT VEHICLES INFRASTRUCTURE TRAVELERS MANAGERS FLEET OPERATORS APPLICATIONS 19

20. 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 20

21. Encourage competitive application commercialization RESEARCH DEVELOPMENT COMMERCIALIZATION SUPPORT COOPERATIVE RESEARCH AND DEVELOPMENT LOW PROGRAM FOCUS HIGH PROGRAM FOCUS APPLICATION DEPLOYMENT LIFE-CYCLE OPEN SOURCE DATA OPEN SOURCE DEVELOPMENT TECHNOLOGY TRANSFER COMPETITIVE APPLICATION COMMERCIALIZATION 21

22. 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 22

23. 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 23

24. Practice long-term technology stewardship 24

25. Projected Outcomes Multiple applications developed leveraging multi-source data Research spurs commercialization Applications enable transformational change 25

26. Keys to Success for IntelliDrive SM 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 26

27. Stakeholder Participation 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 27

28. Draft Agenda for 16 March (Savannah) Scheduled for 1-5 PM, Room TBD Welcome and Introductions 1:00-1:10 IntelliDrive Overview, Valerie Briggs 1:10-1:45 – Recap and Q&A based on Valerie’s briefing earlier in day – Planned outreach and stakeholder engagement events ITE IntelliDrive Activities, ITE Task Force 1:45-2:00 – Current and planned ITE activities Data/Mobility Applications Roadmap Discussion, USDOT2:00-3:00 – Overview of planned program activities BREAK3:00-3:20 Opportunities for Participation, USDOT and ITE3:20-4:20 – Discuss specific opportunities, potential outcomes Next Steps and Wrap-Up4:20-5:00 28

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