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IKTPLUSS-IKT og digital innovasjon

Machine Sensible Infrastructure under Nordic Conditions

Alternative title: Maskinlesbar infrastruktur under nordiske forhold

Awarded: NOK 12.0 mill.

The vehicle industry and software and hardware providers are rapidly developing sensor systems and artificial intelligence (AI) methods for sensing the road environment. Connected and Automated Vehicles (CAVs) are argued to have a large potential for increasing traffic safety and efficiency. There is a strong need for more open scientific studies publishing AI software and results on CAV technology which give valuable insight to road authorities, information which is not available from the vehicle industry today. In addition, in Nordic countries more scientific studies on the limitations of these technologies caused by Nordic conditions is needed, and exploring how these limitations may set other requirements for road design and winter maintenance. In this project we utilize our own research platform for automated driving, and data from instrumented vehicles to gain knowledge on how to establish a machine sensible road environment in the Nordic region and explore how standards for road design and maintenance should be adjusted in this regard. The proprietary nature of vehicle technologies makes a research platform for automated driving particularly important for gaining scientific knowledge on how these systems work on existing infrastructure and in real traffic. MCSINC will use pilot activities as the backbone of the project, and aim at solving technological and non-technological challenges simultaneously. The non-technological challenges include development of governance, regulations, policies, standards and business models. Solving these challenges requires a coupling between the traditional fields of human factors, road planning and design and the field of computer science. Hence, this project will couple data collections from stakeholder interviews and workshops with technical data and analyses from vehicle sensors.

The vehicle industry and software and hardware providers are rapidly developing sensor systems and artificial intelligence (AI) methods for sensing the road environment. Connected and Automated Vehicles (CAVs) are argued to have a large potential for accelerating traffic safety and efficiency. There is a strong need for more open scientific studies publishing AI software and results on CAV technology which give valuable insight to road authorities, information which is not available from the vehicle industry today. In addition, in Nordic countries more scientific studies on the limitations of these technologies caused by Nordic conditions is needed, and exploring how these limitations may set other requirements for road design and winter maintenance We utilize our own research platform for automated driving, i.e. a vehicle with automated driving capabilities, and data from instrumented vehicles to gain knowledge on how to establish a machine sensible road environment in the Nordic region and explore how standards for road design and maintenance should be adjusted in this regard. The proprietary nature of vehicle technologies makes a research platform for automated driving particularly important for gaining scientific knowledge on how these systems work on existing infrastructure and in real traffic. We use pilot activities as the backbone of the project, and aim at solving technological and non-technological challenges simultaneously. The non-technological challenges include development of governance, regulations, policies, standards and business models. Solving these challenges requires a coupling between the traditional fields of human factors, road planning and design and the field of computer science.

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Funding scheme:

IKTPLUSS-IKT og digital innovasjon

Thematic Areas and Topics

IKT forskningsområdeSmarte komponenterPolitikk- og forvaltningsområderForskningAnvendt forskningIKT forskningsområdeMenneske, samfunn og teknologiIKT forskningsområdeProgramvarer og tjenesterFornyelse og innovasjon i offentlig sektorInnovasjonsprosjekter og prosjekter med forpliktende brukermedvirkningIKT forskningsområdeKunstig intelligens, maskinlæring og dataanalyseGrunnforskningIKT forskningsområdeVisualisering og brukergrensesnittIKT forskningsområdeLTP3 Fagmiljøer og talenterBransjer og næringerIKT-næringenDigitalisering og bruk av IKTOffentlig sektorLTP3 Bærekraftige byregioner og transportsystemerLTP3 Samfunnsikkerhet, sårbarhet og konfliktDigitalisering og bruk av IKTDigitalisering og bruk av IKTPrivat sektorLTP3 IKT og digital transformasjonPortefølje Muliggjørende teknologierLTP3 Høy kvalitet og tilgjengelighetPortefølje Banebrytende forskningLTP3 Styrket konkurransekraft og innovasjonsevneLTP3 Innovasjon i stat og kommuneTjenesterettet FoUPolitikk- og forvaltningsområderLTP3 Muliggjørende og industrielle teknologierBransjer og næringerPortefølje Demokrati og global utviklingLTP3 Samfunnssikkerhet og beredskapBransjer og næringerTransport og samferdselPortefølje Energi og transportPolitikk- og forvaltningsområderSamferdsel og kommunikasjonFornyelse og innovasjon i offentlig sektorSamfunnssikkerhetPortefølje InnovasjonLTP3 Et kunnskapsintensivt næringsliv i hele landetTransport og mobilitetLTP3 Klima, miljø og energiPolitikk- og forvaltningsområderDigitaliseringPortefølje Forskningssystemet