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ICT Infrastructure for Connected and Automated Road Transport A Connected Future for Automated Driving ICT4CART Overview Presentation ICT4CART consortium Athens, June 2019 General Facts SCOPE Design, implement & validate, in real-life


  1. ICT Infrastructure for Connected and Automated Road Transport A Connected Future for Automated Driving ICT4CART Overview Presentation ICT4CART consortium Athens, June 2019

  2. General Facts

  3. SCOPE Design, implement & validate, in real-life conditions, a versatile ICT infrastructure for automation to enable the transition towards higher levels of automation (up to L4) Bring together, adapt and improve technological advances from different industries (telecom, automotive, IT) Integrate major wireless technology (cellular [LTE/5G], ITS-G5) under a flexible “sliced” architecture to adopt a hybrid communication approach Increase synergies towards building on existing initiatives & projects through the establishment of strong links (e.g. EATA, L3pilot, C-ROADS, CONCORDA, ICT-18 (5G- MOBIX, 5G-CROCO, 5G-CARMEN) etc.) 3

  4. FACTS & FIGURES Call Identifier: ART-01-2017 Total Budget 21 in €: Partners 10.2M Project Facts 36M Duration 2018-2021 9 EU Countries AT, BE, CH, DE, EL, FR, IE, IT, UK 4

  5. Objectives & Methodology

  6. ICT4CART WORKING ELEMENTS H ybrid connectivity D ata management C yber-security D ata privacy A ccurate localisation 6

  7. SPECIFIC OBJECTIVES Identify the most reliable and effective functional and technical connectivity requirements 1 for higher levels of automation (SAE L3 & L4) Implement and test a standards-based distributed IT environment for data aggregation , to 2 collect and manage all data regarding driver, vehicle, vulnerable road users & infrastructure Implement cyber-security & data privacy protection according to EU policy 3 Improve localisation combining information from different sources & adapting tools and 4 algorithms for data fusion Validate & demonstrate the ICT Infrastructure architecture through use cases & test sites 5 Create new business models and market services for the innovative use of cross-sector data 6 Promote the project developments to standardisation bodies and policy makers especially 7 where public authorities’ intervention is needed 7

  8. PROPOSED SOLUTION – MAIN ITEMS o A flexible network architecture following a hybrid ICT4CART High-Level Architecture communication approach o A distributed IT environment based on cloud computing & MEC technology o Multi Access Edge Computing (MEC) exploitation to address low latency safety services o Cyber-security and data privacy mechanisms in all layers of architecture o CAM & DENM messages for redundant communi- cation o Environment Perception Models for continuous and real-time data processing o Localisation & data fusion algorithms to enhance the precision of localisation 8

  9. Use cases & Test sites

  10. USE CASES & TEST SITES Germany Cross border (AT-IT) Austria Italy UC1 Smart Parking & IoT Services UC2 Dynamic Adaptation of Vehicle Automation Level Based on Infrastructure Information UC3 Intersection Crossing (Urban) & Lane Merging (Highway) – “Virtual Mirror” UC4 Cross Border Interoperability 10

  11. USE CASE SCENARIOS o UC1: Smart Parking & IoT services • SCN1.1: Smart Parking and IoT Services in City of Ulm, Germany • SCN1.2: Smart Parking and IoT Management in City of Verona, Italy o UC2: Dynamic Adaptation of Vehicle Automation Level Based on Infrastructure Information • SCN2.1: Dynamic Clearance, Adaptation and Handover of Vehicle Automation Level at Special Conditions in Graz, Austria • SCN2.2: Dynamic Adaptation of Vehicle Automation Level on Trento Motorway, Italy • SCN2.3: Dynamic Adaptation of Vehicle Automation Level in Verona, Italy o UC3: Intersection Crossing (Urban) & Lane Merging (Highway) – “Virtual Mirror” • SCN3.1: Virtual Mirror to “see” Surrounding Traffic in Urban Environment • SCN3.1.a: In City of Ulm, Germany • SCN3.1.b: In City of Verona, Italy • SCN3.2: GLOSA (Green Light Optimized Speed Advisory) in City of Verona, Italy • SCN3.3: Lane Merging in Autostrada del Brennero, Italy • SCN3.4: Precise Positioning in Urban and Highway Location (Germany & Austria) o UC4: Cross Border Interoperability • SCN4.1: Cross Border Interoperability Between Italy-Austria (Dynamic Adaptation of Vehicle Automation Level) at Brenner Border 11

  12. AUSTRIA o Located between “ Laßnitzhöhe ” and the City of Graz and includes 20km of A2 motorway o Based on a fibre-optic network that provides IP- based network connectivity o Equipped with C-ITS road-side units , video cameras, single-vehicle counters and environmental sensors Key technologies • Dynamic Clearance, Adaptation and Handover of Vehicle Automation Level at Special Conditions • Precise Positioning in Urban and Highway Location 12

  13. GERMANY o Located in the urban area of the City of Ulm o Focuses on smart parking spaces, over ground parking garage o Provides LTE cellular network from Autobahn A8 to inner city o Aims at providing seamless integration of ITS G5 & LTE/5G to be shown at one traffic light crossing Key technologies • Smart parking and on-demand fleet management applications; • Precise localization of automated vehicles with correction data from a mobile (cellular) network; • Crossing an intersection with the help of an environmental model of the intersection fed by infrastructure sensor information (“virtual mirror”) 13

  14. ITALY o Located in the North-East of Italy (Trento & Verona area) o Foresees C-ICT tests on motorway and urban environment o Focuses on the junctions between urban and motorway environment, in specific toll stations o Able to provide dynamic traffic light information (GLOSA) Key technologies • Smart parking and internet of things (IoT) services in Verona; • Dynamic adaptation of vehicle automation level; • Aided intersection crossing in Verona urban are; • Lane merging in Autostrada del Brennero (A22); • “Virtual mirror” for urban crossing in Verona urban area 14

  15. CROSS-BORDER o Located in A22 motorway , connecting Austria Tyrolean (A13) & Italian Brennero (A22) motorway o Implement & tests cross-border interoperability o Have similar capabilities with Austrian and Italian test sites Key technologies • Dynamic Clearance, Adaptation and Handover of Vehicle Automation Level at Special Conditions 15

  16. Expected impact

  17. EXPECTED IMPACT On market Creation of a leap in the European competitiveness of the transport industry On environment On society High industrial impact in different domains Proved technical feasibility, flexibility, Low carbon and more energy Minimisation of accidents, less adaptability, innovation potential & efficient transport towards the road fatalities and injuries, caused pragmatic impact of ICT infrastructure use of automated driving and by human errors architecture connectivity Improvement of mobility Creation of a marketplace related to ICT solutions, especially for elderly, infrastructure for automated driving Improvement of traffic flows, young (with no licence) and congestion and emissions mobility impaired people Creation of new market services through through the use of real-life the innovative use of cross-sector data, for a Boost innovation and advance validation of an ICT infrastructure wide set of stakeholders public interest applications architecture through open circulation of data Benchmarking between different and related offered services communication technologies 17

  18. Stay in touch

  19. If you have any questions or require further information please contact us: ICCS ERTICO-ITS Europe ICT4CART Coordinator ICT4CART Communications and Dissemination Manager Dr. Angelos Amditis, Mrs. Cordelia Wilson, Research Director, ICCS Communications Manager Address: Address: Institute of Communication and Computer Blue Tower – 2nd Floor Systems – ICCS, National Technical University Avenue Louise 326 Campus, Building of Electrical Engineers, Office B-1050 Brussels ict4cart.eu 2131, 9 Iroon Politechniou Str., GR-15773, Belgium Zografou Athens, GREECE @ict4cart Tel: +30 210 772 1663 Tel: +32 2 400 07 00 ICT4CART email: a.amditis@iccs.gr email: c.wilson@mail.ertico.com This project has received funding from the European Union’s horizon 2020 research and innovation programme under grant agreem ent No. 768953

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