Road Vehicle Automation 11 / / edited by Gereon Meyer, Sven Beiker |
Autore | Meyer Gereon |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (200 pages) |
Disciplina | 629.04 |
Altri autori (Persone) | BeikerSven |
Collana | Lecture Notes in Mobility |
Soggetto topico |
Transportation engineering
Traffic engineering Automation Transportation Transportation Technology and Traffic Engineering Transportation Economics |
ISBN |
9783031674662
9783031674655 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- Introduction: The Automated Road Transportation Symposium 2023 -- 1 Overview -- 2 Keynote Talks -- 3 Plenary Panel Sessions -- 3.1 What the Pioneering Cities are Learning by Hosting Truly Driverless Ride-Hailing Operations -- 3.2 Implementing Best Practices for ADS Safety -- 3.3 Delivering the Goods: ADS in Freight Applications -- 3.4 European Approach to AV Regulation -- 3.5 Infrastructure Issues/Opportunities Panel -- 3.6 How Should Automated Driving Be Regulated in the U.S.? -- 3.7 Capital's Role in the AV Revolution -- 3.8 Leading Business Journalists' Perspectives on the AV Industry -- 4 Plenary Presentations -- 4.1 Presentations on Specific Cross-Cutting Topics -- 4.2 Unique Perspectives on AV Deployment from Specific Companies -- 4.3 Public Sector Developments Relevant to Automated Driving -- 5 Breakout Sessions -- 5.1 ARTS23 Breakout Sessions -- 6 General Cross-Cutting Observations -- 6.1 Real-World Experience of Driverless Automated Operations -- 6.2 Remote Human Interventions -- 6.3 Automated Driving Safety Regulations -- 6.4 Need for Authoritative Data -- 6.5 Infrastructure Support? -- 6.6 Economic Challenges -- Part I: Public Sector and Policy Activities -- RoAD to L4, Advancing Autonomy: Research, Development, Demonstration, and Deployment of Level 4 Driving Automation and Enhanced Mobility Services in Japan -- 1 Introduction of Automated Mobility Services -- 1.1 Prospects of Automated Mobility Services Deployment: A Strategic Approach -- 1.2 The First Level 4 Commercial Vehicles in Operation -- 2 Focused Project Themes and Initiatives in Advanced Self-driving Technologies for Passenger and Truck Services -- 2.1 Project Themes -- 2.2 MaaS with Automated Driving Technology -- 3 Conclusions -- 4 Next Steps -- References.
I didn't Fight the Law, We All Won: Autonomous Vehicles and Compliance with the Rules of the Road -- 1 Introduction -- 1.1 Session Background -- 1.2 AVs and Traffic Law Compliance -- 2 Literature Review -- 3 Summary of the Discussion -- 3.1 Identifying Problems -- 3.2 Finding Solution -- 4 Conclusions -- References -- Public Welfare and Emerging Technology: Balancing Interests in Automated Vehicle Regulations Across Six Jurisdictions -- 1 Introduction -- 1.1 ARTS 2023 Panel Discussion: "AV Laws Around the World: Who, What, Where and Why?" -- 2 Summary of the Discussion -- 2.1 Context and Scope -- 2.2 Recent Research and Trends -- 2.3 New Insights and Suggestions -- 3 Conclusions -- 4 Next Steps -- References -- A User Centred Approach to Designing Future Self-driving Transport Systems: Evidence from Public Trials and Engagement -- 1 Why a User Centred Approach is Required for the Long-Term Success of Self-driving Vehicles -- 1.1 Background -- 2 So What Do the Public Want from Self-driving Vehicles? -- 3 How to Ensure the Acceptable Introduction and Operation of Self-driving Vehicles -- 3.1 Enabling Capability -- 3.2 Creating Opportunity -- 3.3 Building Motivation -- 4 How to Increase Knowledge and Understanding of Self-driving Vehicles -- 4.1 Enabling Capability -- 4.2 Creating Opportunity -- 4.3 Building Motivation -- 5 Conclusion -- References -- Multidisciplinary Dialogues on Assessing the Automation-Readiness of Cities -- 1 Introduction -- 2 Background -- 3 Presentations and Dialogues -- 3.1 Experts Presentations -- 3.2 Automation-Readiness Priority Statements -- 4 Discussion -- 5 Conclusions and Next Steps -- References -- Data Drive Legal Regimes for Automated Vehicles -- 1 Introduction -- 1.1 Methods -- 2 Discussion: Data-Related Themes -- 2.1 Crash Data Form a Core -- 2.2 Safety -- 2.3 Cybersecurity -- 2.4 Privacy -- 2.5 National Security. 2.6 Liability -- 3 Conclusions -- References -- Part II: Business Models and Operations -- Impacts of Automation in the Supply Chain -- 1 Introduction -- 2 Perspectives on Supply Chain Automation, Activities and Considerations -- 2.1 Wing: Last-Mile Drone Delivery -- 2.2 AllianceTexas: Intermodal Inland Port -- 2.3 Gatik: Autonomous B2B Delivery -- 2.4 The Borderplex Alliance: US-Mexico Trade -- 3 Discussion Summary -- 3.1 Policy Considerations -- 3.2 Workforce and Economic Impact -- 3.3 Technology Maturity -- 4 Conclusions and Additional Research -- Reference -- Data Exchanges Enabling the Future of Automation: Opportunities and Challenges -- 1 Introduction -- 2 Summary of the Discussion -- 2.1 Context and Scope -- 2.2 State of the Industry and Current Research -- 2.3 Summary of Panel Discussion at ARTS23 Breakout Session on Data Exchanges Enabling Future of Automation: Opportunities and Challenges -- 3 Conclusions and Next Steps -- References: -- Workforce Development for 21st Century Mobility -- 1 Introduction -- 2 Examples of Workforce Development Activities, Programs, and Research -- 2.1 Nuro's Upskilling Workforce Development Initiative -- 2.2 Beep's Workforce Development Activities -- 2.3 Research on Workforce Development Needs in Taxi, Transportation Network Company, and AV Services -- 2.4 WE-TRANSFORM: Addressing AV Workforce Needs in Europe -- 2.5 Kodiak Robotics: Autonomous Trucking Workforce Development Needs -- 2.6 Addressing Workforce Development in Minnesota -- 2.7 Advanced Skills Development Training at AREA X.O by Invest Ottawa -- 2.8 Masters in Intelligent Transportation Systems -- 3 Conclusions and Additional Research -- References -- Part III: Vehicle Technology Development and Testing -- Human Factors Considerations of Remote Operation Supporting Level 4 Automation -- 1 Introduction -- 1.1 Scope of the Paper -- 1.2 Terminology. 2 Human Factors of Remote Operation to Support Level 4 Automation: Key Insights from the Breakout Sub-sessions -- 2.1 Operational and Perceived Safety -- 2.2 Training, Certification, and Interaction with First Responders -- 2.3 Design of the Human-Machine Interface -- 2.4 Tasks, Roles, and Ratios -- 3 Overview of Legal and Standardization Efforts on Human Factors of Remote Operation -- 3.1 National and Regional Efforts -- 3.2 International Efforts -- 4 Conclusions and Next Steps -- References -- Scenarios and Scenario Databases for AV Safety Assurance -- 1 Introduction -- 2 Scenario Methodology -- 2.1 Scenario-Based Safety Assurance Process -- 2.2 Abstracting the Reality with Scenarios -- 2.3 Scenario Generation for Databases -- 3 Scenario Database -- 3.1 Input Data Description Format -- 3.2 Scenario Identification and Scenario Management -- 3.3 Query and Generation of Scenarios -- 3.4 Key Performance Indicators -- 4 Data for Scenario Generation -- 4.1 Requirements -- 4.2 Classification of Public Roads Trajectory Data Sources -- 4.3 Drone Data -- 5 Conclusion -- References -- Measuring Automated Vehicle Safety -- 1 Introduction -- 1.1 Background -- 1.2 Safety Assessment -- 1.3 Measurements and Assessments -- 2 Approach -- 2.1 Elements: Traffic Kinematics -- 2.2 Safety Assessment -- 3 Kinematic Context -- 3.1 Non-Collision Events -- Near-Misses -- Near-Crash Events -- Close-Calls -- 4 Collision Hazard Measure -- 4.1 Perception-Reaction Time -- 4.2 Modulation -- 4.3 Road/Street Grip -- 5 Characteristics -- 5.1 Comparison of Surrogate Collision Hazard Measures -- 6 Example SHM Data -- 6.1 Individual Track Example -- 6.2 Geo-Temporal Aggregation Example -- 7 Conclusions -- References -- Part IV: Transport System Planning -- Transportation and Real Estate: Case Studies in Cross-Sector Collaborative Developments -- 1 Introduction. 2 Post-COVID Emerging Trends -- 2.1 Decreases in Transit Use and Increase in Private Vehicle Ownership -- 2.2 Telework, Changes in Commuting Patterns, and Real Estate -- 2.3 Rise in E-Commerce -- 3 The Unexpected Overlap Between Realized Impacts from COVID and Potential Impacts from AVs -- 3.1 Privately-Owned AVs -- 3.2 Shared AVs -- 3.3 Automated Freight -- 3.4 Summary of AV Use Cases and Potential Implications for Land Use -- 4 Case Studies -- 4.1 AV-Enabled "Main Street" Suburbs -- 4.2 Automated Valet Parking -- 4.3 Mobility Hubs -- 4.4 Mobility-Oriented Real Estate Development -- 5 Conclusions -- References -- Managed Lanes: Incubator for Automated Vehicles -- 1 Introduction -- 2 Summary of Presentations -- 2.1 Historical Perspective -- 2.2 Managed Lanes as Automated Vehicle Incubators - Insights and Initiatives -- 2.3 Getting Connected Automation Tests off the Drawing Board and into Lanes -- 2.4 Accelerating Autonomous Freight with Dedicated Infrastructure -- 3 Conclusions -- 4 Next Steps -- References -- Author Index. |
Record Nr. | UNINA-9910882896503321 |
Meyer Gereon
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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Road Vehicle Automation 8 |
Autore | Meyer Gereon |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
Descrizione fisica | 1 online resource (119 pages) |
Altri autori (Persone) | BeikerSven |
Collana | Lecture Notes in Mobility Ser. |
Soggetto genere / forma | Electronic books. |
ISBN | 3-030-80063-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Contents -- Introduction: The Automated Vehicles Symposium 2020 -- 1 Overview -- 2 Keynote Talks -- 3 Plenary Panel Sessions -- 3.1 Driver Monitoring and Management with L2 Automation -- 3.2 UL4600 Safety Cases: Industry Approach and Applications -- 3.3 Lessons Learned from Uber Crash -- 3.4 Investment and Capital Updates -- 3.5 Why Truck Fleets Will Lead the Way for AV Deployment -- 3.6 Current Status of Federal AV Legislation -- 3.7 Hard Truths from Journalism's Best -- 3.8 Remote Support to Accelerate ADS Deployment -- 4 Plenary Presentations -- 4.1 Research and Technology Topics -- 4.2 Automated Driving Applications -- 4.3 National and Multi-national Programs of Automated Driving R& -- D and Regulation -- 5 Breakout Sessions -- 5.1 2020 AVS Breakout Sessions -- 6 General Cross-Cutting Observations -- Part I: Public Sector Activities -- The Challenges for Automated Driving Systems Realization in Japan -- SIP-adus -- 1 Society 5.0 -- 2 Dynamic Map -- 3 Field Operational Test in Tokyo Water Front Area -- 4 Safety Assurance -- 5 Cybersecurity -- 6 Conclusion -- References -- Policy and Regulation of Automated Vehicles: Spotlight on U.S. Federal and States -- 1 Introduction -- 2 Landscape for Federal AV Legislation and Regulation -- 2.1 Summary of U.S. Department of Transportation (USDOT) Guidance and National Testing Regulatory Context -- 2.2 Reforms Proposed to Federal Motor Vehicle Safety Standards -- 2.3 Connected Vehicle Technology, the FCC and Advancing Automated Vehicle Safety -- 3 State Automated Vehicles Policy and Regulation -- 3.1 AV Liability and Insurance Policy Considerations -- 3.2 Highlighting AV Regulatory Landscape in Select U.S. States -- 4 Regional Coalition-Building and Efforts -- 4.1 Eastern Transportation Coalition I-95 -- 4.2 Smart Belt Coalition PA-OH-MI -- 5 Conclusion -- References.
Regulation of In-Service Safety Risks of Automated Vehicles -- 1 Automated Vehicles and Regulation -- 2 In-Service Safety Risks and Automated Vehicles -- 3 In-Service Regulation of Automated Vehicles -- 4 In-Service Safety and General Duties -- 5 Conclusions and Further Work -- References -- Part II: Business Models and Operations -- Local Roadmaps for Autonomous Vehicles: Guidance for High-Impact, Low-Cost Policy Strategies -- 1 Introduction -- 2 Background -- 2.1 The State of Automated Technology -- 2.2 The State of Policy in the US -- 3 A Local Policy Dialogue -- 3.1 Infrastructure -- 3.2 Curb Management -- 3.3 Public Space and Positive Sum Roadway Design -- 4 Roadmaps for the Future -- References -- Artificial Intelligence for Automated Vehicle Control and Traffic Operations: Challenges and Opportunities -- 1 Introduction -- 2 Research on Utilizing Artificial Intelligence (AI) for Traffic Operations and Automated Vehicle (AV) Modeling -- 2.1 The Value of Good Old-Fashioned Parametric Models for AV Control -- 2.2 Deep Learning Based Eco-driving for Connected and Automated Vehicles -- 2.3 Machine Learning Methods - Beware: There is Nothing to Learn About Congested Urban Networks -- 2.4 On the Challenges of Building a Camera-Only, Complete, Self-driving System -- 2.5 Mixed Autonomy Traffic: A Reinforcement Learning Perspective -- 2.6 Traffic State Estimation with Physics Regularized Machine Learning: A New Insight into Machine Learning Applications in Traffic Flow Modeling -- 3 Discussion -- References -- Autonomous Shuttles and Buses: From Demonstrations to Deployment -- 1 Introduction -- 2 Examples of Automated Shuttle and Bus Pilots, Demonstrations, and Deployments -- 2.1 Bishop Ranch Shared Autonomous Vehicle Pilot Program, Contra Costa County California -- 2.2 Linden Leap, Columbus, Ohio -- 2.3 Texas A&. M University SmartShuttle Demonstration, College Station, Texas -- 2.4 I-STREET, Gainesville, Florida -- 2.5 Texas Southern University Automated Vehicle Shuttle, Houston, Texas -- 2.6 Rochester Automated Shuttle Pilot Project, Rochester, Minnesota -- 2.7 Arlington Driverless Shuttle Pilots, Arlington, Texas -- 2.8 AV Shuttles in the Netherlands -- 2.9 CAVForth, Edinburgh Scotland -- 3 Further Research -- Part III: Vehicle Systems and Technology Development -- Future Threats to Connected and Automated Vehicles -- 1 Introduction -- 2 Robust Perception for Automated Driving -- 3 Connected and Automated Vehicle Security in a Post-quantum Computing World -- 3.1 Cryptography, Symmetric Algorithms, Asymmetric Algorithms, and Digital Signatures -- 3.2 What Needs To Be Changed in CAV Systems as a Result of Quantum Computers -- 3.3 Quantum Computing Background and Timeline -- 3.4 Impact of Transition -- 3.5 Conclusion -- 4 Conclusion -- References -- Generic Cooperative Adaptive Cruise Control Architecture for Heterogeneous Strings of Vehicles -- 1 Introduction -- 2 A Generic CACC Architecture -- 2.1 Vehicle Setup -- 2.2 Architecture Layout -- 3 Low-Level Speed Tracking -- 3.1 Actuator Maps Generation -- 3.2 Control Synthesis -- 4 High-Level Gap Regulation -- 4.1 Feedback Control Design -- 4.2 Feedforward Control Design -- 5 Results Discussion -- 5.1 ACC Results -- 5.2 CACC Results -- 6 Conclusions -- References -- Part IV: Policy and Planning -- Public and Private Sector Collaboration to Advance Automated Driving Systems Testing and Deployment -- 1 Introduction -- 2 Testing and Development to Facilitate ADS-Roadway Integration -- 2.1 FHWA ADS-Roadway Collaborative Testing and Evaluation -- 2.2 NHTSA AV TEST Initiative -- 3 Public-Private Partnerships to Establish Successful AV On-Road Testing Legislation and Requirements. 3.1 Shuttle Deployments and Partnerships -- 3.2 Pennsylvania -- 3.3 Virginia -- 3.4 Washington -- 3.5 Florida -- 4 Discussion -- 5 Conclusions -- Author Index. |
Record Nr. | UNINA-9910497090703321 |
Meyer Gereon
![]() |
||
Cham : , : Springer International Publishing AG, , 2021 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Road Vehicle Automation 9 |
Autore | Meyer Gereon |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
Descrizione fisica | 1 online resource (187 pages) |
Disciplina | 629.22 |
Altri autori (Persone) | BeikerSven |
Collana | Lecture Notes in Mobility |
Soggetto non controllato | Transportation |
ISBN | 3-031-11112-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910733724803321 |
Meyer Gereon
![]() |
||
Cham : , : Springer International Publishing AG, , 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|