ECOGEM Cooperative Advanced Driver Assistance System for Green Cars Burak ONUR Project Coordinator R&D Support Executive

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Presentation transcript:

ECOGEM Cooperative Advanced Driver Assistance System for Green Cars Burak ONUR Project Coordinator R&D Support Executive

Presentation Overview Project Objectives Consortium Members EcoGem Approach S&T Objectives Overview of Innovations Workplan Exploitation Potential Topics for Clustering © EcoGem Consortium

Project Objectives To render the FEV capable of reaching the desired destination(s) through the most energy efficient route(s) possible To render the FEV fully aware of the surrounding recharging points/stations while travelling © EcoGem Consortium

Consortium Members 8 countries 11 partners © EcoGem Consortium

Consortium Members Network Operator Application Developers Research Institutes Transport Organizations Mapping Industry FEV Manufacturers © EcoGem Consortium

EcoGem Approach Continuous monitoring of the vehicle’s battery level and energy consumption Autonomous optimized route planning Cooperative optimized route planning Continuous awareness of recharging points and optimized recharging strategy Online management of recharging points Holistic approach for energy efficiency and operational cost optimization © EcoGem Consortium

S&T Objectives 1. Development of an on-board ADAS equipped with monitoring and machine learning functionality, targeted for route planning and recharging optimisation 2. Development of an enhanced traffic and recharging management platform at the infrastructure side 3. Provision of secure and open interfaces to the knowledge and information of the platform 4. Definition and development of V2V interactions and interfaces 5. Definition and development of V2I/I2V interactions and interfaces 6. Development of mechanisms and software tools for data security, user privacy, safety and acceptability 7. Development of a FEV-oriented traffic simulation platform suitable for EcoGem 8. Validation through simulation trials 9. Validation through field trials with test vehicles © EcoGem Consortium

Overview of Innovations © EcoGem Consortium

Concept Architecture © EcoGem Consortium

Workplan WP1: Project Management WP2: System Requirements & Architecture WP3: System Specifications & Technical System Design WP4: System Implementation & Integration WP5: Trials & Evaluation WP6: Dissemination, Standardisation & Business Plan © EcoGem Consortium

Exploitation Potential On-board ADAS equipped with monitoring and machine learning functionality, targeted for energy-efficient route planning and recharging optimisation of FEVs Intelligent, energy-driven fleet and traffic management Provision of advanced, energy-driven travel and traffic information services for FEVs Provision of advanced recharging services EcoGem V2V information exchange EcoGem V2I/I2V information exchange EcoGem FEV-oriented traffic simulation platform © EcoGem Consortium

Exploitation Potential Integration of EcoGem’s ADAS in the FEVs produced by PININFARINA (Nido) and TEMSA (AVENUE EV for public transportation) Enhancement of NAVTEQ’s ADAS platform Enhancement of PTV’s central management platform Additional functionality into Tecnalia’s and HI- IBERIA’s simulators New and improved Travel & Traffic Information Services by SOFTECO and COSMOTE EcoGem services to municipalities and regions © EcoGem Consortium

Topics for clustering Use of common, standard V2X/X2V protocols Identification of user needs and requirements Usability and safety of ADAS systems – best practices Security and privacy Maximize interoperability of software tools and components that will be developed © EcoGem Consortium

Thank you! © EcoGem Consortium Burak ONUR Project Coordinator R&D Support Executive