Connected/Automated Vehicles – Issues for Transportation Research AASHTO Research Advisory Committee and Transportation Research Board State Representatives Annual Meeting July 23, 2014 Ellen Partridge, Chief Counsel Office of the Assistant Secretary for Research and Technology U.S. Department of Transportation (USDOT) Outline Overview Summary of 2014 Automated Vehicle Symposium Details on 10 Breakout Sessions at Symposium U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 2 Connected Vehicles A connected vehicle system is based on wireless communication among vehicles of all types and the infrastructure. The wireless communications technology could include: 5.9 GHz DSRC 4G and older 3G cellular networks provide high-bandwidth data communications Other wireless technologies such as Wi-Fi, satellite, and HD radio may have roles to play U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 3 Automated Vehicles Automated vehicles are those in which at least some aspect of a safety-critical control function (e.g., steering, throttle, or braking) occurs without direct driver input. U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 4 Connected and Automated Vehicles The path toward connected vehicles will ultimately lead to automated vehicles. U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 5 NHTSA Automated Vehicle Levels U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 6 Key Areas of NHTSA’s Levels 2 to 4 Automation Research U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 7 State Legislative and Regulatory Action http://cyberlaw.stanford.edu/wiki/images/0/06/Statusmap14small.jpg U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 8 Summary of Automated Vehicle Symposium Trends □ Limited access highway driving □ Truck platooning □ Low-speed driverless vehicles Caveats □ Enhanced realism about safety and transitioning between human and machine control □ More attention to V2V and V2I □ Need for digital mapping □ Shared use and transportation as a service □ Private/public sector roles still to be developed U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 9 Breakout Session #1 Evolutionary and Revolutionary Pathways to Automated Transit and Shared Mobility U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 10 Breakout Session #1: Results Automated vehicles will blur the lines between taxis, private vehicles, and public transit. Urban congestion is a complex problem; automated single-occupant vehicles (SOVs) alone are not the solution Transit is a segmented market; different solutions needed in different environments to create a full network Level 2 on buses is near … Princeton Research Center at Monmouth; stay tuned First mile / last mile are the opportunities for automated vehicles Harness automation to architect livable spaces U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 11 Breakout Session #2 Regional Planning and Modeling Implications of Driverless Cars U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 12 Breakout Session #2: Results Automation Level 3: We have a pretty good handle on this; we just need to think and work through appropriate analysis. Automation Level 4: This is where we need the most development work – both on understanding travel behavior changes and how to model it. Collaboration with Policy Makers: Working closer with policy makers will be important to understand their questions. Modeling Issues to Be Resolved: Car sharing effects on travel behavior; changes in household location; impacts to transit, walk and bike; etc. Likely Increase in VMT: What are the policy implications for air quality, energy use, congestion, and land use? U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 13 Breakout Session #2: Next Steps Organize a scenario development and vetting process to identify various pathways to market adoption and their effects on travel behavior. Conduct a synthesis of existing research on capacity and value of time implications of automated vehicles. Conduct special surveys, focus groups, and interactive gaming experiments to better understand human adoption and use of these technologies. Conduct a coordinated set of model runs in different geographic and modal contexts to understand the range of the magnitude of impacts. U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 14 Breakout Session #3 Roadway Traffic Management and Operations with Automated Vehicles U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 15 Breakout Session #3: Results Automated vehicles expected to increase traffic flow efficiency □ Connected automation required Vehicle as a sensor and traffic control actuator Connectivity can bring early benefits; automation can leverage them Traffic management context will change □ Travel/logistic patterns, type of vehicles, parking, empty cars Transition period is important □ Mixed traffic, manual-automated transitions, managed lanes U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 16 Breakout Session #3: Results Driverless vehicles will require new management approaches □ Intersection control, platooning □ Management of empty vehicles, parking Dedicated lanes may accelerate deployment of driverless vehicles □ There is a lack of suitable modeling and simulation tools to accommodate automated vehicles (all levels) □ Tracks in pavement, equity issues Data, calibration, control models, information flows, driver behavior Traffic flow dynamics will fundamentally change U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 17 Breakout Session #4 Truck Automation U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 18 Breakout Session #4: Results What are the challenges and opportunities for automated on-road commercial heavy vehicles? A sample: Technology □ Interoperability Policy □ Hours of Service Human Factors □ Gaps and driver’s comfort U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 19 Breakout Session #5 Legal Accelerators and Brakes U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 20 Breakout Session #5: Results “Lead” Mode within Legal and Regulatory Constraints □ Commercial Platoons • Not really an automated driving system • State tailgating laws, anti-platooning □ Low-speed • Controlled environments • Shared transportation “Infotainment” as an accelerator □ Revenue Stream and Market Pull □ Potential Issues • Distraction • Data privacy U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 21 Breakout Session #5: Results Need for Uniform Laws □ Minimum Operating Laws and Regulations as an Accelerator □ Concerns Over Vehicle Regulations Stifling Innovation Data Use and Misuse □ Opt-in Benefits as a Potential Accelerator □ Misuse Could Destroy Consumer Confidence • Surveillance Society Liability □ No consensus, but...explore ways to understand and manage risk and uncertainty U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 22 Breakout Session #6 The State and Future Direction of Automated-Vehicle Human Factors U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 23 Breakout Session #6: Results We already know a lot about how trained professionals interact with automation (e.g., pilots, process control). Important differences exist between driving and other domains □ Lower training □ More variability in individual differences (multiple user groups—young, elderly, different skills) □ Smaller tolerances for error. This makes automation design for road vehicles more difficult. Makes collaborative design a very hard problem! U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 24 Breakout Session #6: Results Transfer of control □ Mental models □ Situation awareness Misuse and improper use □ Deliberately testing system boundaries The role of driver monitoring to construct better collaboration between the driver and the system Design cannot only focus on “worst case” scenarios □ Context matters (familiarity, novelty) □ Drivers will want input even at high levels of automation U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 25 Breakout Session #6: Next Steps More collaboration early in design cycle with human factors is recommended □ Collect data early and quickly to avoid problems □ Human factors domain has knowledge and methods that are useful throughout the design cycle, and informed by previous research Need to be creative and conceptualize beyond the concept of adding systems to existing cars □ Levels are flexible in the design space; they provide the starting point for fully considering how different systems will interact U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 26 Breakout Session #7 Near-Term Connected/Automated Technology Deployment Opportunities U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 27 Breakout Session #7: Results Technology Researcher Perspective. Actions needed to realize benefits: 1) Connected vehicle market penetration and 2) Focus on near-term Level 1 applications – CACC, Speed Harmonization, Eco-Signal Operation OEM and Supplier Perspective on Connectivity and Automation. Vehicle connectivity is not going to enable automated driving, but is going to make it better. Deployment Challenges from USDOT Perspective. Aftermarket devices, spectrum sharing demands, communications congestion potential, other road users, and security Operational Considerations from Roadway Authority Perspective (State DOT). Determine optimal balance of intelligence between vehicles and infrastructure; emphasize heavy vehicle applications as early adopters; and determine whether to start with mixed traffic or exclusive right-of-way U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 28 Breakout Session #7: Results Early Deployment Roadway authority perspective. Highway authorities can advance system technologies via investment/legislation/policy Identify value propositions for automated vehicles. Safety and efficiency payoffs, policy supported by public benefit rationale, and increase in infrastructure capabilities Role of public sector. 1) Establish facilities where we can learn more about the benefits of automation, and 2) sponsor and invest in early deployments Be aware of consumer opinion and sensitivity to autonomous vehicles. □ Currently, consumers are wary of autonomous features but may not be fully informed of the potential benefits □ Willingness to pay is low and there are control/trust issues. However, safety can sell □ Level 5 is the current consumer level of understanding and expectation. However, mobility benefits are achieved at Level 1 and further levels of automation primarily offer consumer convenience – need to bridge this gap. U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 29 Breakout Session #7: Results Transition to Long-Term Deployment Promising near-term (next 10 years) deployment opportunities: □ Level 1 applications for managed lanes and tollways □ Public transportation and freight applications □ Small scale community-based environments (retirement enclave, campus) offer opportunity for higher level automation deployment (levels 4 and 5) due to lower risks How can we best transition from early deployment to long-term deployment? □ Accommodate progression of technology but allow for consistency with regard to performance – can standards minimize disruption and preserve benefits? □ Allow for incremental improvement (e.g., following distances for CACC) U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 30 Breakout Session #8 Personal Vehicle Automation Commercialization U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 31 Breakout Session #8: Observations from Speakers ABS took 17 years, and ACC took 14 years to 5% penetration Disruption of insurance industry – liability migrates from the driver to the manufacturer A large part of safety can be done with only ADAS Automation is enabler for shared vehicle market Lack of law breakers will decimate local muni budgets 90% of organ donations come from auto accidents The car is just a computer on wheels; just another device between a consumer and the info/data U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 32 Breakout Session #8: Results Level 3 □ Business case not clear for upgrade from Level 2 □ Necessary to get to Levels 4, 5 □ Problem of driver behavior not as expected □ Skills degradation? □ Insufficient marginal benefit for the cost? □ But important evolutionary step to Levels 4 and 5 □ Cool factor Level 4 □ Time savings, safety, mobility □ New drivers – old and young □ Enterprise value for commuting employees □ Tax, insurance incentives? □ Shared vehicle support Level 5 □ New business models □ Increase in traffic volume □ Sustainable □ Alternative to rail and air □ Mobility accessibility U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 33 Breakout Session #8 “If I had listened to my customer, I would have developed a faster horse.” – Henry Ford U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 34 Breakout Session #9 Technology Roadmap, Maturity and Performance U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 35 Breakout Session #9: Results Focused on the “Holy Grail” – Level 4 vehicle that operates on any roads. Agreed that the Artificial Intelligence Software and how to test it were the biggest challenges. “You need a learning process to replace the human brain.” Did feel that there were steps needed to get there, but multiple paths to achieve it. Levels 4 3 2 1 0 Very Limited Any -- Environment -U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 36 Breakout Session #9: Standardization & Certification + Degraded States Federal, state, OEM, 3rd party testing: which entity does the certification; is there a regional preference? How to deal with aging and re-certification? Are we able to test/create data on all possible scenarios? Model certification (aerospace level of testing/performance would be cost prohibitive). An adversarial environment must be considered in the certification process: outline standard threats. Emergency Situations: □ Identified three degraded modes: fail safe, operational, soft U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 37 Breakout Session #10 Road Infrastructure Needs for Connected-Automated Vehicles U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 38 Breakout Session #10: Session Focus and Goals Focus: To explore how transportation infrastructure interacts with and supports connected-automated vehicles □ Digital infrastructure – mapping and data □ Physical infrastructure – traffic control devices Goals □ Identify challenges and opportunities where potential infrastructure changes and innovations are needed □ Discuss research needs and next steps to prepare infrastructure to be supportive of and compatible with connected-automated vehicles U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 39 Breakout Session #10: Results – Digital Infrastructure States are collecting digital data to generate roadway basemaps Opportunity to share data with digital mapping and automated vehicle developers Could all states provide a common base level map as a starting point for high precision maps? Varying data format and collection standards by state Requirements for building maps for automated vehicles are unknown by states Need additional discussion between developers and states if leveraging maps would be useful for deployment of automated vehicles U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 40 Breakout Session #10: Results – Physical Infrastructure States are responsible for maintaining traffic control devices Implementation of traffic control devices can vary state by state Designed for human comprehension; multiple alternatives pose a greater challenge for automated vehicles States asking what infrastructure improvements are necessary for automated vehicles; need more requirements for physical infrastructure from automated vehicle developers Low cost changes could be implemented now; other changes can be factored into long-term planning Need to develop more consistent standards U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 41 Breakout Session #10: Next Steps Hold workshops at the national and state level to gather requirements from developers of automated vehicles Assess impacts of requirements on digital infrastructure data collection and maintenance of physical infrastructure Develop recommendations and guidance to share across all states to accelerate deployment of automated vehicles U.S. Department of Transportation ITS Joint Program Office Image Source: Thinkstock/USDOT 42