Convergence: Connected and Automated Mobility
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1 Convergence: Connected and Automated Mobility Peter Sweatman Principal, CAVita LLC, Anaheim CA AASHTO CTE Denver June 19,
2 Agenda New technology in mobility: CV, AV and CAV The transformational dynamic of automated driving Research on CAV deployment CAV preparations by infrastructure owners and operators The infrastructure as a transformational element 2
3 What is CV? Vehicles talk to each other 10 times per second (V2V) And to the infrastructure (V2I) Basic safety message is position, speed and heading Intersections also broadcast signal phase and timing Algorithms continuously monitor crash risk and warn drivers Many applications have been developed for safety, traffic efficiency, and energy efficiency Developed using robust, low-latency, licensed Dedicated Short Range Communication (DSRC) at 5.9 GHz Cellular (5G) may also provide a reliable underlying platform 3
4 New York City Key Facts 10,000 city-owned vehicles + Peds/Bikes equipped to test V2V and V2I technology throughout Midtown Manhattan Controller and RSE upgrades to support V2I at a number of intersections NYCDOT and Transcore are primary leads Mobility and Safety Issues Goals Reduction in spot speeding Reduction in accidents in high incident intersections Improve Ped safety and reduce bus related accident rate Improve safety of disabled Peds using V2P Reduce accidents/delays involving low bridges Enforce truck route restrictions Improve Work Zone Safety Balance mobility in congested areas Reduce crashes, injuries and delays 4
5 What is AV? AVs cover a very broad range of functions, from interventions to assist the driver to full driverless capability The term automated vehicle includes autonomous vehicle, having more reliance on on-board technologies The common feature of all AVs is the replacement of one or more human control functions with machine functions In order to describe an AV, it is necessary to consider: The intended role of the driver The intended operating environment Safety is a major criterion: starting with the safe introduction of automated features, and ending with a mobility system free of crashes Recently introduced terminology: Highly Automated Vehicle (HAV) Automated Driving System (ADS) 5
6 6
7 The CAV Convergence 7
8 Rapid impact of automated driving A technological tipping point An automotive make-over An infrastructure rollout A public sector coming-of-age 8
9 A technological tipping point Connected vehicles and infrastructure (CV) Automated vehicles (AV) Surrounded by: Shared Mobility (SM), Big Data, Cybersecurity, Internet-of-Things, Smart Cities Enabled by: Sensors, software, cloud services, computation, robotics, artificial intelligence, deep learning, consumer electronics 9
10 An automotive make-over Automated driving systems with a lofty safety goal Safety evaluation and assurance Simulation, off-roadway testing, onroadway testing Combined with digitalization, electrification and high connectivity Big, exceedingly big, data 10
11 An infrastructure rollout Deployment of connected vehicle technologies (V2I as well as V2V) High safety goals enabled by technology for the infrastructure Operational Design Domains (ODDs) for automated vehicles Readiness of the infrastructure for AVs Adaptation and countermeasures during a lengthy transition phase to a high density of AVs Connecting the dots between early CAV deployment zones Design changes for the fully-deployed CAV era Planning tools for CAVs 11
12 A public sector coming-of-age Smart cities, data curation and analytics Encouraging CAV testing on city streets Timely policy development State and local agencies seek CAV readiness Model operating environments (living labs) Multiple objectives (eg. zero emission vehicles) Cities hyper-innovative influence on artificial intelligence, including vehicles, services and wealth creation 12
13 Research on CAV deployment Conventional R&D model is linear: research, protoyping, testing, modification, deployment We now need rapid learning cycles based on large deployments This has been the successful model of the auto industry The same model applies to CAV; in addition it becomes a public-private activity, or set of activities There is no rule book for public-private learning cycles Current examples include pilots, demos, test beds, model deployments, field operational tests, challenges, etc The University of Michigan s Mcity is the first fake city for testing highly-automated vehicles 13
14 Mcity: opened by U-M and MDOT July 20,
15 Streetscape in Downtown Mcity 15
16 16
17 17
18 CAV preparations by infrastructure owners and operators State and local agencies are more involved in policy and technical readiness for wider deployment AASHTO Cooperative Automated Transport (CAT) Coalition is providing strong leadership State DOT awareness activities within states - standards efforts (e.g. SAE, IEEE) and test beds (off-roadway and on-roadway) and smart cities programs involving HAV (e.g. driverless shuttles) Increased number of localized research and deployment coalitions Increased focus on safety evaluation of HAVs and the identification of appropriate operating environments and use cases 18
19 Connected Vehicle Deployment Locations Source: USDOT JPO 19
20 CAV Consortia Across the U.S. 20
21 States Are Enacting AV Legislation & Orders Source: NCSL 21
22 Cooperative Automated Transportation (CAT) Coalition CAT Executive Committee Policy, Legislative and Regulatory Working Group Planning Working Group Infrastructure Industry Working Group IOO/OEM Forum Strategic Initiatives Working Group Technical Resource s Working Group Peer Exchang e & Outreach Working Group CAV-ELT Phase 2 Collaboration of IOOs, OEMs, Technology and Service Providers, IOT & Suppliers Focus on Connected and Automated Vehicle policies and their convergence. Address future business models, data and information systems, organizational and workforce requirements Scenario planning To be further discussed and modified at the Executive Committee. CAV V2I Deployment Coalition - Phase 2 Collaboration of public, private, & academic groups Focus on V2I systems to assist drivers and Automated Driving Systems (ADS) Communications medium agnostic - focus on support for deployable technologies Emphasis areas such as, but not limited to: Intersection safety (SPaT Challenge), Work Zones, and Eco Arrival/Departure, Freight, transformational technologies and others V2I 22
23 CAT policy initiative base 1. National Guidelines 2. Early-Stage Risks 3. Interoperability 4. Industry-Government Information Exchange 5. Data Access Provisions 6. Public Outreach and Education 7. Planning Scenarios 23
24 Late breaking issues Helping to define and support smart cities initiatives Early identification of CAV red flags (such as impacts on jobs and parking revenues) Developing the requirements of the CAV workforce Monitoring the national and international state of CAV test beds, deployment and research Utilizing research results, such as those from NCHRP and those presented at TRB/AUVSI Automated Vehicle Symposium 24
25 Infrastructure rollout of CAVs bigger issues The infrastructure is part of the transformation. Adaptation and countermeasures during a lengthy transition phase to a high density of AVs Connecting the dots between early CAV deployment zones Design changes for the fully-deployed CAV era 25
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