The Impact of Automated Transport on the Role, Operations and Costs of Road Operators and Authorities in Finland
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Paving the Way for Self-Driving Vehicles”
June 13, 2017 The Honorable John Thune, Chairman The Honorable Bill Nelson, Ranking Member U.S. Senate Committee on Commerce, Science & Transportation 512 Dirksen Senate Office Building Washington, DC 20510 RE: Hearing on “Paving the Way for Self-Driving Vehicles” Dear Chairman Thune and Ranking Member Nelson: We write to your regarding the upcoming hearing “Paving the Way for Self-Driving Vehicles,”1 on the privacy and safety risks of connected and autonomous vehicles. For more than a decade, the Electronic Privacy Information Center (“EPIC”) has warned federal agencies and Congress about the growing risks to privacy resulting from the increasing collection and use of personal data concerning the operation of motor vehicles.2 EPIC was established in 1994 to focus public attention on emerging privacy and civil liberties issues. EPIC engages in a wide range of public policy and litigation activities. EPIC testified before the House of Representatives in 2015 on “the Internet of Cars.”3 Recently, EPIC 1 Paving the Way for Self-Driving Vehicles, 115th Cong. (2017), S. Comm. on Commerce, Science, and Transportation, https://www.commerce.senate.gov/public/index.cfm/pressreleases?ID=B7164253-4A43- 4B70-8A73-68BFFE9EAD1A (June 14, 2017). 2 See generally EPIC, “Automobile Event Data Recorders (Black Boxes) and Privacy,” https://epic.org/privacy/edrs/. See also EPIC, Comments, Docket No. NHTSA-2002-13546 (Feb. 28, 2003), available at https://epic.org/privacy/drivers/edr_comments.pdf (“There need to be clear guidelines for how the data can be accessed and processed by third parties following the use limitation and openness or transparency principles.”); EPIC, Comments on Federal Motor Vehicle Safety Standards; V2V Communications, Docket No. -
Autonomous Vehicles on the Road from the Perspective of a Manufacturer's Liability for Damages
Autonomous Vehicles on the Road from the Perspective of a Manufacturer's Liability for Damages IUC International Maritime and Transport Law Course International Maritime and Transport Law – Transport Law de Lege Ferenda Dubrovnik, 9 September 2020 Contents 1. Introduction - definitions, perspective 2. Challenges - current set of rules; AV-AV, AV-CV, AV-rest 3. Opportunities - vision for future 4. Summary Conclusion Is there a need for more regulation in order to help the production of AVs and mitigate damages? 1. AVs to be treated as conventional vehicles, i.e. as any other product, movable 2. Treat them as elevators/lifts or as autopilot technology 3. New legal framework Current legal framework • National regulations • EU strategies/investments • Independent bodies/entities and their recommendations • Good practices What is an AV? • a vehicle enabled with technology that has the capability of operating or driving the vehicle without the active control or monitoring of a natural person - Maurice Schellekens, Self-driving cars and the chilling effect of liability law • 3 elements: 1. Means (AI or similar technology) 2. Purpose of the means 3. Way of operating the means (active control or monitoring of a human person) • AV as any other movable Waymo’s self driving car, 2020 Source: https://www.google.com/search?q=Waymo&rlz=1C1GCEA_enHR912HR912&sxsrf=ALeKk00G8P_y2Ik0neIaDNxJlqcjKMQBlw:1599407756496&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjR67SZ8tTrAhXSTcAKHZATCDQ Q_AUoAXoECBgQAw&biw=1366&bih=657#imgrc=z71dtWbxBXnwgM Tesla model 3, 2020 Source: -
Model Based Systems Engineering Approach to Autonomous Driving
DEGREE PROJECT IN ELECTRICAL ENGINEERING, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2018 Model Based Systems Engineering Approach to Autonomous Driving Application of SysML for trajectory planning of autonomous vehicle SARANGI VEERMANI LEKAMANI KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCE Author Sarangi Veeramani Lekamani [email protected] School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Place for Project Sodertalje, Sweden AVL MTC AB Examiner Ingo Sander School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Supervisor George Ungureanu School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Industrial Supervisor Hakan Sahin AVL MTC AB Abstract Model Based Systems Engineering (MBSE) approach aims at implementing various processes of Systems Engineering (SE) through diagrams that provide different perspectives of the same underlying system. This approach provides a basis that helps develop a complex system in a systematic manner. Thus, this thesis aims at deriving a system model through this approach for the purpose of autonomous driving, specifically focusing on developing the subsystem responsible for generating a feasible trajectory for a miniature vehicle, called AutoCar, to enable it to move towards a goal. The report provides a background on MBSE and System Modeling Language (SysML) which is used for modelling the system. With this background, an MBSE framework for AutoCar is derived and the overall system design is explained. This report further explains the concepts involved in autonomous trajectory planning followed by an introduction to Robot Operating System (ROS) and its application for trajectory planning of the system. The report concludes with a detailed analysis on the benefits of using this approach for developing a system. -
Anna University:: Chennai 600 025 University Departments Curriculum – R 2013 B.E. (Part – Time) – Automobile Engineering
ANNA UNIVERSITY:: CHENNAI 600 025 UNIVERSITY DEPARTMENTS CURRICULUM – R 2013 B.E. (PART – TIME) – AUTOMOBILE ENGINEERING I – VII SEMESTERS CURRICULA & SYLLABI SEMESTER I SL. CODE NO. COURSE TITLE L T P C NO. THEORY 1 PTMA8151 Applied Mathematics 3 0 0 3 2 PTPH8151 Engineering Physics 3 0 0 3 3 PTCY8152 Engineering Chemistry 3 0 0 3 4 PTGE8153 Engineering Mechanics 3 0 0 3 5 PTGE8151 Computing Techniques 3 0 0 3 TOTAL 15 0 0 15 SEMESTER II SL. CODE NO. COURSE TITLE L T P C NO. THEORY 1 PTAU8201 Electrical and Electronics Engineering 3 0 0 3 2 PTAU8202 Manufacturing Processes 3 0 0 3 3 PTAU8203 Measurement System for Automobiles 3 0 0 3 4 PTAU8204 Thermodynamics and Thermal Engineering 3 0 0 3 5 PTMA8251 Numerical Methods 3 0 0 3 TOTAL 15 0 0 15 SEMESTER III SL. CODE NO. COURSE TITLE L T P C NO. THEORY 1 PTAU8301 Automotive Chassis 3 0 0 3 2 PTAU8302 Automotive Electrical and Electronics 3 0 0 3 3 PTAU8303 Automotive Petrol Engines 3 0 0 3 4 PTAU8304 Solid Mechanics 3 0 0 3 5 PTAU8305 Theory of fuels and Lubricants 3 0 0 3 TOTAL 15 0 0 15 1 SEMESTER IV SL. CODE NO. COURSE TITLE L T P C NO. THEORY 1 PTAU8401 Automotive Diesel Engines 3 0 0 3 2 PTAU8402 Automotive Transmission 3 0 0 3 3 PTAU8403 Two and Three Wheeler Technology 3 0 0 3 4 PTPR8351 Kinematics and Dynamics of Machines 3 0 0 3 PRACTICAL 5 PTAU8411 Automotive Engine and Chassis Components 0 0 3 2 Laboratory TOTAL 12 0 3 14 SEMESTER V SL. -
Waymo Rolls out Autonomous Vans Without Human Drivers 7 November 2017, by Tom Krisher
Waymo rolls out autonomous vans without human drivers 7 November 2017, by Tom Krisher get drowsy, distracted or drunk. Google has long stated its intent to skip driver- assist systems and go directly to fully autonomous driving. The Waymo employee in the back seat won't be able to steer the minivan, but like all passengers, will be able to press a button to bring the van safely to a stop if necessary, Waymo said. Within a "few months," the fully autonomous vans will begin carrying volunteer passengers who are now taking part in a Phoenix-area test that includes use of backup drivers. Waymo CEO John Krafcik, who was to make the In this Sunday, Jan. 8, 2017, file photo, a Chrysler announcement Tuesday at a conference in Pacifica hybrid outfitted with Waymo's suite of sensors Portugal, said the company intends to expand the and radar is shown at the North American International testing to the entire 600-square-mile Phoenix area Auto Show in Detroit. Waymo is testing vehicles on and eventually bring the technology to more cities public roads with only an employee in the back seat. The around the world. It's confident that its system can testing started Oct. 19 with an automated Chrysler Pacifica minivan in the Phoenix suburb of Chandler, Ariz. handle all situations on public roads without human It's a major step toward vehicles driving themselves intervention, he said. without human backups on public roads. (AP Photo/Paul Sancya, File) "To have a vehicle on public roads without a person at the wheel, we've built some unique safety features into this minivan," Krafcik said in remarks prepared for the conference. -
National Growth Programme for the Transport Sector 2018–2022
National Growth Programme for the Transport Sector 2018–2022 National Growth Programme for the Transport Sector 2018–2022 MEE Guides and other publications 1/2018 ISSN 2342-7914 (printed publication) ISBN 978-952-327-317-7 ISSN 2342-7922 (electronic publication) ISBN 978-952-327-318-4 Ministry of Economic Affairs and Employment Innovations and Enterprise Financing P.O. Box 32 FIN-00023 Government Publisher Ministry of Economic Affairs and Employment Editors: Growth Programme workgroup Graphic design, layout and illustrations pages. 13, 27: Elvi Turtiainen Oy Printed by: Ministry of Transport and Communications 1/2018 Cover image: Shutterstock Contents Foreword 4 Abstract 6 1. Introduction, objectives and vision 9 1. 1. Introduction 9 1.2. The transport sector: objectives and vision 2030 12 2. Operating environment 15 2.1. The main forces for the change in the transport sector 15 2.2. The transport market 17 2.3. The transport system 2.0 19 3. Growth in the transport sector and the ecosystemic approach 23 3.1. The ecosystemic approach in the National Growth Programme for the Transport Sector 23 4. Roadmap 2018–2022 26 4.1. Common vision and enabling legislation as the basis for renewal process 28 4.2. Cities as a platform for lead markets 30 4.3. Digital data will be put into effective use 32 4.4. Achieving a competitive advantage through research and education 34 4.5. Broad funding base as a lever for development 36 4.6. Through experimentation and trials to the leading edge 38 4.7. Market references and scaling through public procurement 40 4.8. -
Finlands's Natural Resources and the Environment 1998
: : # • • MINISTRY OFTHE ENVIRONMENT SVT Environm ent 1998:9 C ¡¡I Statistics Finland V Finlands's Natural Resources and the Environment 1998 \ \ YMPÄRISTÖMINISTERIÖ SVT Ympäristö 1998:9C * M I L J Ö M I N I S T E R I E T Miljö \ " MINISTRY OF THE ENVIRONMENT Environment ,, Tilastokeskus ¡jjjj! Statistikcentralen " Statistics Finland Finland's Natural Resources and the Environment 1998 Helsinki 1998 Inquiries: S VT Suomen virallinen tilasto Finlands officiella Statistik Jukka Hoffrén Official Statistics of Finland tel. +358 9 17341 Cover: Luontokuva-arkisto/Hannu Huttu © 1998 Statistics Finland ISSN 0784-8455 = Environment ISSN 1238-0582 ISBN 951-727-478-5 Quoting is encouraged provided that this report is acknowledged as the source. Original sources for diagrams indicated in Statistical Appendix. Helsinki 1998 Hakapaino Oy, Helsinki 1998 Foreword The extensive programme approved at the UN Development and Environment Con ference held in Rio de Janeiro in 1992 (Agenda 21) endeavours to define broadly the measures required for implementing a policy of sustainable development. It was stated at the follow-up meeting (UNGASS) in New York in summer 1997, however, that practical implementation of the programme should be enhanced considerably in order to bring us closer to a sustainable future. The final communiqué issued by that meeting pointed to changes in production methods and consumption habits as the major challenge for sustainable development in the industrialised countries. The sparing exploitation of natural resources and "qualitative" economic growth are emerging as concrete aims in this respect, alongside restrictions on greenhouse gas emissions. The EU environmental programme defines ecologically sustainable development as one of the Union’s major objectives. -
Commercial Management and Financing of Roads (1998)
WORLD BANK TECHNICAL PAPER NO. 409 Work in progress for public discussion Commercial Management and Financing of Roads Iann G Heggie Piers Vickers RECENT WORLD BANK TECHNICAL PAPERS No. 334 Mosse and Sontheimer, PerformanceMonitoring Indicators Handbook No. 335 Kirmani and Le Moigne, FosteringRiparian Cooperation in InternationalRiver Basins:The World Bankat Its Best in DevelopmentDiplomacy No. 336 Francis, with Akinwumi, Ngwu, Nkom, Odihi, Olomajeye, Okunmadewa, and Shehu, State, Community, and LocalDevelopment in Nigeria No. 337 Kerf and Smith, PrivatizingAfrica's Infrastructure: Promise and Change No. 338 Young, MeasuringEconomic Benefits for WaterInvestments and Policies No. 339 Andrews and Rashid, The Financingof PensionSystems in Centraland EasternEurope: An Overviewof Major Trendsand TheirDeterminants, 1990-1993 No. 340 Rutkowski, Changesin the WageStructure during EconomicTransition in Centraland EasternEurope No. 341 Goldstein, Preker, Adeyi, and Chellaraj, Trendsin HealthStatus, Services,and Finance:The Transitionin Central and EasternEurope, Volume I No. 342 Webster and Fidler, editors, Le secteurinformel et lesinstitutions de microfinancementen Afrique de l'Ouest No. 343 Kottelat and Whitten, FreshwaterBiodiversity in Asia, with SpecialReference to Fish No. 344 Klugman and Schieber with Heleniak and Hon, A Survey of Health Reformin CentralAsia No. 345 Industry and Mining Division, Industry and Energy Department, A Mining Strategyfor LatinAmerica and the Caribbean No. 346 Psacharopoulos and Nguyen, The Roleof Governmentand the PrivateSector in Fighting Poverty No. 347 Stock and de Veen, ExpandingLabor-based Methodsfor RoadWorks in Africa No. 348 Goldstein, Preker, Adeyi, and Chellaraj, Trendsin Health Status, Services,and Finance:The Transitionin Central and EasternEurope, Volume 11, Statistical Annex No. 349 Cummings, Dinar, and Olson, New EvaluationProceduresfor a New Generationof Water-RelatedProjects No. -
Probabilistic Fracture Mechanics: PTS Screening Criteria for RTNDT, Application of FAVOR Code to a German KONVOI Plant
20th International Conference on Structural Mechanics in Reactor Technology (SMiRT 20) Espoo, Finland, August 9-14, 2009 SMiRT 20-Division 6, Paper 1785 Probabilistic fracture mechanics: PTS Screening criteria for RTNDT, application of FAVOR code to a German KONVOI plant Ralf Tietea and Norbert Schlüterb aAREVA NP GmbH, Erlangen, Germany, e-mail: [email protected] bKernkraftwerke Lippe-Ems GmbH, Lingen, Germany Keywords: Probabilistic fracture mechanics, reactor pressure vessel, FAVOR, PTS Screening Criteria, RTNDT 1 ABSTRACT In Germany the structural integrity and safety of reactor components, like reactor pressure vessel (RPV) or pipes, is done by deterministic analyses. Deterministic approaches use conservative assumptions (crack geometry, external loadings, material properties, etc.) to maximize the safety margins. Reasons for such conservative assumptions can be missing information (aleatory uncertainties) or missing knowledge of certain mechanisms (epistemic uncertainties). A probabilistic analysis uses the same methods (e.g. calculation method for stress intensity factor, crack propagation) as a deterministic one, but addresses the uncertainty of required input data or mechanisms. Unlike a deterministic analysis, which criterion is the achievement of a critical or reference value (e.g. stress intensity factor reaches lower bound of fracture toughness), a probabilistic analysis gives a probability of flaw initiation or component failure. Therefore a probabilistic analysis of a reactor component gives an additional classification of the integrity (safety) of such a component under more realistic assumptions and helps quantifying governing parameters for the component failure, which can be useful for lifetime extension. An example of such a probabilistic safety analysis is the FAVOR (Fracture Analysis of Vessels, Oak Ridge) computer program, which was developed in the US by the Oak Ridge National Laboratory, and is applicable to the core region of a RPV. -
Helsinki - Vaalimaa
TUAS data collection: Corridor 1, E18 Finland Turku/Naantali – Helsinki - Vaalimaa [WP3 Technical solutions along the corridors: GoA 2020] Author: Harri Heikkinen, TUAS Published: March, 2020. Figure 1: [Intelligent traffic sign on E18 Turku-Helsinki. (Tieyhtiö ykköstie 2016.)] TUAS data collection: Corridor 1, E18 Finland Turku/Naantali – Helsinki - Vaalimaa WP3 Technical solutions along the corridors By Harri Heikkinen, TUAS Copyright: Reproduction of this publication in whole or in part must include the customary bibliographic citation, including author attribution, report title, etc. Cover photo: MML, Esri Finland Published by: Turku University of Applied Sciences The contents of this publication are the sole responsibility of BALTIC LOOP partnership and do not necessarily reflect the opinion of the European Union. Contents [WP3 Technical solutions along the corridors: GoA 2020] .......................................... 1 1. Introduction .......................................................................................................... 1 2. Corridor description and segments ...................................................................... 2 3. Data collection by type and source .................................................................... 11 4. Conclusions, analysis and recommendations of further research. ..................... 20 References ............................................................................................................ 22 WP3 Technical solutions along the 03/2020 corridors / GoA 2020 -
ITS-Related Transport Concepts and Organisations' Preferences for Office Locations
Issue 18(4), 2018 pp. 340-359 ISSN: 1567-7141 EJTIR http://tlo.tbm.tudelft.nl/ejtir The importance of institutions and policy settings for car sharing – Evidence from the UK, Israel, Sweden and Finland Nihan Akyelken1 University of Oxford, Oxford, United Kingdom. Moshe Givoni2 Tel Aviv University, Tel Aviv, Israel. Marja Salo3 Finnish Environment Institute, Helsinki, Finland. Andrius Plepys4 Lund University, Lund, Sweden. Jáchym Judl5 Finnish Environment Institute, Helsinki, Finland. Karen Anderton6 University of Oxford, Oxford, United Kingdom. Sirkka Koskela7 Finnish Environment Institute, Helsinki, Finland. The rapid growth of cities requires effective management of transport demand and restructuring of transport systems to address the needs of growing urban populations in an environmentally, socially and economically sustainable way. In recent years, car sharing has emerged as an alternative to owning cars in cities, which has potential to bring environmental gains and address social considerations. There is a sizeable academic inquiry about the social and environmental benefits of car sharing and the barriers to its introduction and provision in different empirical contexts. However, most research on the determinants of its uptake and the ease of provision remains limited to investigating consumer demand and how to realise the benefits of car sharing. Drawing on cases from the UK, Israel, Sweden and Finland, this paper focuses on the institutional and policy settings to understand the systemic barriers for car sharing services in diverse urban contexts to expand knowledge on the challenges to and the challenges that emerge from car sharing schemes. Keywords: car sharing; transport governance; institutions; sustainable mobility 1 A: 1 Wellington Square, Oxford OX2 7LF United Kingdom T: +44 1865 286 949 E: [email protected] 2 A: P.O. -
Chemical and Physical Characterization of Traffic Particles In
1 Chemical and physical characterization of traffic particles in 2 four different highway environments in the Helsinki 3 metropolitan area 4 5 J. Enroth1,2, S.Saarikoski3, J.V. Niemi4,5, A. Kousa4, I. Ježek6, G. Močnik6,7, S. 6 Carbone3,9, H. Kuuluvainen8, T. Rönkkö8, R. Hillamo3, and L. Pirjola1,2,* 7 8 [1] {Metropolia University of Applied Sciences, Department of Technology, Helsinki, Finland} 9 [2] {University of Helsinki, Department of Physics, Helsinki, Finland} 10 [3] {Finnish Meteorological Institute, Atmospheric Composition Research, Helsinki, Finland} 11 [4] {Helsinki Region Environmental Services Authority HSY, Helsinki, Finland} 12 [5] {University of Helsinki, Department of Environmental Sciences, Helsinki, Finland} 13 [6] {Aerosol d.o.o., Ljubljana, Slovenia} 14 [7] {Jožef Stefan Institute, Ljubljana, Slovenia} 15 [8] {Tampere University of Technology, Department of Physics, Tampere, Finland} 16 [9] {now at University of São Paulo, Department of Applied Physics, São Paulo, Brazil} 17 18 Correspondence to: L. Pirjola ([email protected], [email protected]) 19 20 1 1 Abstract 2 Traffic related pollution is a major concern in urban areas due to its deleterious effects on human 3 health. The characteristics of the traffic emissions on four highway environments in the Helsinki 4 metropolitan area were measured with a mobile laboratory, equipped with state-of-the-art 5 instrumentation. Concentration gradients were observed for all traffic related pollutants, 6 particle number (CN), particulate mass PM1, black carbon (BC), organics and nitrogen oxides 7 (NO and NO2). Flow dynamics in different environments appeared to be an important factor 8 for the dilution of the pollutants.