
UTAC
4 Projects, page 1 of 1
assignment_turned_in Project2009 - 2012Partners:CRF, FTSS, BASt, Chalmers University of Technology, IAT Ingenieurgesellschaft fur Automobiltechnik mbH +14 partnersCRF,FTSS,BASt,Chalmers University of Technology,IAT Ingenieurgesellschaft fur Automobiltechnik mbH,TRL LIMITED,ADAM OPEL AG,Volvo Cars,HUMANETICS,TTAI,UTAC,PSA,RENAULT SAS,IDIADA,TU Berlin,Daimler (Germany),FIAT AUTO,VW,TNOFunder: European Commission Project Code: 234216more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2025 - 2028Partners:NEW GENERATION SENSORS SRL, UTAC, Euroquality, IMEC, ADRIAFER SRL +11 partnersNEW GENERATION SENSORS SRL,UTAC,Euroquality,IMEC,ADRIAFER SRL,AVANZA,ID4CAR,GROUPE KEDGE BUSINESS SCHOOL,VARNA MUNICIPALITY,INNOVEE INNOVATION EN ENERGIE ELECTRIQUE,AIT,TELLAE,A-to-Be,GENEGIS GI SRL,ITAINNOVA,BIG DATA SANTEFunder: European Commission Project Code: 101203040Overall Budget: 4,999,370 EURFunder Contribution: 4,999,370 EURThe vision of MODALSHIFT lies in the creation of a transport network and traffic management optimisation framework, trusted and valuable for local stakeholders, that bridges the data from infrastructures, logistics and mobility operators. New IoT devices - a smart box enabling Capacity-as-a-Service, and a e-subscription device for public transport access for vulnerable people, will increase the sources for data collection. A mobility data space, associated to novel geolocation data anonymisation, will be set up in the 3 Case Studies (Bulgaria, Italy, Spain) to ensure trusted and secure data exchange between data providers and users. This multisource data will enhance traffic state forecasting and increase the detection rate of events by 15%. On this basis, predictive and prescriptive analytics and synchromodality-based scenarios, tested in digital twins and early pilots, will identify optimal actions of transport stakeholders for adjusting their operations, towards a reduction of 25% of the interconnection or transshipment delays. Agent-based modelling will identify how a modal shift towards low-carbon, active and shared mobility services can be acceptable by end-users and support a reshape of the public transport services and the use of urban space. A multimodal traffic management platform will orchestrate, upon the data space, the cooperation of stakeholders at network and multimodal hub scales. It enables the connection of dynamic optimisation algorithms to operational drivers’ tool for mobility operators, and of static models to visual interface for transport planners. The determination of governance models, values for each stakeholder, dynamic pricing and business models, will steer the participation of 8 stakeholders for each Case Study in the multimodal traffic management system. With this approach, MODALSHIFT stimulates new uses of the transport network to reduce traffic congestion for low-carbon and inclusive mobility, avoiding pernicious rebound effects.
more_vert Open Access Mandate for Publications assignment_turned_in Project2017 - 2021Partners:INSTITUT FUR EMPIRISCHE SOZIOLOGIE AN DER FRIEDRICH-ALEXANDER-UNIVERSITAT ERLANGEN-NU, UTAC, NextMove, UC, AMZS +6 partnersINSTITUT FUR EMPIRISCHE SOZIOLOGIE AN DER FRIEDRICH-ALEXANDER-UNIVERSITAT ERLANGEN-NU,UTAC,NextMove,UC,AMZS,FHG,USYD,ACASA,University of Alcalá,TREELOGIC,VTIFunder: European Commission Project Code: 723021Overall Budget: 2,990,540 EURFunder Contribution: 2,990,540 EURNew technologies in transport enabled systems with the capacity to improve safety, efficiency, sustainability and comfort. Advances in vehicle automation allow the circulation of vehicles with a minimal human intervention in the near future. However, this irruption brings new technical and non-technical challenges that are to be addressed to ensure safe adoption of level 3 automated vehicles. Based on existing prototypes of automated vehicles (provided by the consortium), will perform multidisciplinary research to ensure the needs of the users (drivers), other road users (other drivers and Vulnerable Road Users (VRUs)), and the perspectives of stakeholders (driving instructors, insurance companies, authorities, certifiers, policy makers and regulators), as a key for obtaining viable and market-ready products. This main objective is further detailed in the following ones: 1) Multidisciplinary (human, social, economic, security, legal and ethical considerations) study of the requirements and expectations of the drivers, VRUs, and stakeholders to assure safety and adoption of automated vehicles. 2) Turning requirements into innovative interaction and monitoring concepts for driver-vehicle interaction in order to bridge the gap between users and automation technologies while assuring safe vehicles handling with reduced driver attention. 3) Turning requirements into innovative monitoring concepts for vehicle-environment interaction, enhancing current Advanced Driving Assistance Systems (ADAS) through the inclusion of predictive capabilities for better and faster ADAS reactions (nominal and emergency). 4) Validating requirements, user acceptance and impact assessment through realistic user-centric testing exercises under different scenario conditions. 5) Paving the way for the further adoption of the technology by the automation industry, by evolving on testing and pre-validation protocols, proposing advancements on the regulation and consumerist assessment.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2019 - 2021Partners:TNO, AIACR, EMPA, TUW, Österreichischer Automobil-, Motorrad- und Touring Club (ÖAMTC) +9 partnersTNO,AIACR,EMPA,TUW,Österreichischer Automobil-, Motorrad- und Touring Club (ÖAMTC),CSI SPA,HORIBA MIRA LIMITED,BASt,ICRT,IDIADA,ACI,ADAC,TCS,UTACFunder: European Commission Project Code: 814794Overall Budget: 2,999,180 EURFunder Contribution: 2,999,180 EURThe GVI results will empower the consumer and strengthen the demand side. This will be achieved by informing the consumers through the involved (inter)national consumer organisation and the strong link to Euro NCAP. This GVI project will be the catalyst and initiator for a fully-fledged Green NCAP program, which will help consumers, authorities and all other stakeholders to identify if a vehicle truly is clean and energy efficient. GVI’s vision is: ‘The highest standard is attributed to a car that maximises the reduction of its own pollutants and greenhouse gasses and, at the same time, operates at minimised fossil fuel consumption and/or maximised energy efficiency under real-world conditions during its life time.’ The GVI project will independently assess the full environmental performance of a vehicle in the most comprehensive manner. It is of paramount importance that complex test procedures and results are converted into independent, meaningful and comprehensive information for consumers that can easily be understood. - To develop a holistic assessment methodology of a vehicle’s environmental performance over the vehicle’s useful life - including a complete set of test protocols and test procedures with the aim to independently test vehicles and assess the full environmental performance; - To develop an independent rating system based on developed testing protocols, for the assessment of new vehicles’ performance across multiple criteria (real world fuel consumption, noise, cost ); - To validate the overall methodology by conducting real world and laboratory testing and publish results of the 49 most readily available low emitting vehicles in the market; - Improve the administrative and contractual conditions to run the vehicle environmental performance assessment program beyond the project’s duration; - Maximising transparency by making detailed test results available to interested stakeholders to perform their own analysis and to spark competition.
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