
A-to-Be
A-to-Be
2 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2021 - 2024Partners:UDEUSTO, TfGM, Panteia, ID4CAR, Rupprecht Consult - Forschung & Beratung +8 partnersUDEUSTO,TfGM,Panteia,ID4CAR,Rupprecht Consult - Forschung & Beratung,RENNES METROPOLE,CEFRIEL,COMPANHIA CARRIS DE FERRO DE LISBOA, E.M., S.A.,NTUA,Polis,IMEC,A-to-Be,AIMSUN SLFunder: European Commission Project Code: 955273Overall Budget: 4,849,350 EURFunder Contribution: 4,849,350 EURThe European transport faces major challenges in terms of safety, greenhouse gas emissions, traffic congestion and its derived costs. In addition, the development of disruptive technologies and emergence of new mobility solutions generate a revolution in transport network and traffic management. In this context, TANGENT aims to develop new complementary tools for optimising traffic operations in a coordinated and dynamic way from a multimodal perspective and considering automated/non-automated vehicles, passengers and freight transport. TANGENT will research on advanced techniques on modelling and simulation, such as prediction and simulation models for future demand & supply of transport; optimisation techniques for balancing the demand flows between the means of transport; and users travel behaviour modelling. As result, a set of applications for decision-making support will be delivered creating a framework for coordinated traffic and transport management, encompassing an enhanced mobility information service and dashboard with associated APIs and advanced functionalities with a two-fold approach: to provide real-time traffic management recommendations and to support Transport Authorities to design network-wide optimal strategies. The framework also aims at supporting a multi-actor cooperation approach for transport network management by enabling communication channels. In this way, the services target to different actors in traffic management. The results will be tested in three case studies: Rennes (FR), Lisbon (PT), Great Manchester (UK) and a virtual case study in Athens (HE)with real data from various modes of transport, under different traffic events such as bottlenecks, accidents, pedestrian flow etc. The impact will be assessed to reach expected reduction targets of 10% in travel time, 8-10% in CO2 emissions, 5% of accidents, 5-10% increase in use public transport and use of active modes or 10% of economic costs due to a more efficient management.
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For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda__h2020::27cf7618356462be878987017c1384c2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2018 - 2022Partners:NOS Technology, SIEMENS INDUSTRY SOFTWARE AND SERVICES BV, FHG, Gemeente Helmond, CTAG +51 partnersNOS Technology,SIEMENS INDUSTRY SOFTWARE AND SERVICES BV,FHG,Gemeente Helmond,CTAG,AUTO - ESTRADAS NORTE LITORAL SOCIEDADE CONCESSIONARIA - AENL SA,AALTO,IMEC,ALSA GRUPO SL,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,TISPT,ERICSSON HELLAS,VeDeCoM Institute,A-to-Be,UPM,CCG,Telefonica Research and Development,TNO,ERTICO ,Siemens Industry Software Netherlands B.V.,AI IN MOTION BV,University of Murcia,uni.lu,Alcatel-Lucent (Spain),NSN,Ericsson,KPN BV,SENSIBLE 4 OY,TELEFONICA INNOVACION DIGITAL SL,DGT,AT4 wireless, S.A.,ICCS,Ayuntamiento de Vigo,VIC,TU/e,TÜBİTAK,SIEMENS MOBILITY UNIPESSOAL LDA,TURKCELL,IPL,IP,FORD OTOMOTIV SANAYI ANONIM SIRKETI,IT,IMT, I. P.,INTRASOFT International,LIST,VICOM,WINGS ICT,AKKA,AKKA HIGH TECH,Daimler (Germany),SATELLITE APPLICATIONS CATAPULT,GESELLSCHAFT FUR PADIATRISCHE ONKOLOGIE UND HAMATOLOGIE GGMH,ASOCIACION ESPANOLA DEL VEHICULO AUTONOMO CONECTADO,ASELSAN,TU Berlin,COSMOTEFunder: European Commission Project Code: 825496Overall Budget: 26,795,200 EURFunder Contribution: 21,410,200 EUR5G-MOBIX aims at executing CCAM trials along x-border and urban corridors using 5G core technological innovations to qualify the 5G infrastructure and evaluate its benefits in the CCAM context as well as defining deployment scenarios and identifying and responding to standardisation and spectrum gaps. 5G-MOBIX will first define the critical scenarios needing advanced connectivity provided by 5G, and the required features to enable those advanced CCAM use cases. The matching between the advanced CCAM use cases and the expected benefit of 5G will be tested during trials on 5G corridors in different EU countries as well as China and Korea. Those trials will allow running evaluation and impact assessments and defining also business impacts and cost/benefit analysis. As a result of these evaluations and also internation consultations with the public and industry stakeholders, 5G-MOBIX will propose views for new business opportunity for the 5G enabled CCAM and recommendations and options for the deployment. Also the 5G-MOBIX finding in term of technical requirements and operational conditions will allow to actively contribute to the standardisation and spectrum allocation activities. 5G-MOBIX will evaluate several CCAM use cases, advanced thanks to 5G next generation of Mobile Networks. Among the possible scenarios to be evaluated with the 5G technologies, 5G-MOBIX has raised the potential benefit of 5G with low reliable latency communication, enhanced mobile broadband, massive machine type communication and network slicing. Several automated mobility use cases are potential candidates to benefit and even more be enabled by the advanced features and performance of the 5G technologies, as for instance, but not limited to: cooperative overtake, highway lane merging, truck platooning, valet parking, urban environment driving, road user detection, vehicle remote control, see through, HD map update, media & entertainment.
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