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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.

Funding scheme:

IKTPLUSS-IKT og digital innovasjon

Thematic Areas and Topics

IKT forskningsområdeProgramvarer og tjenesterLTP3 Samfunnsikkerhet, sårbarhet og konfliktIKT forskningsområdeKunstig intelligens, maskinlæring og dataanalyseLTP3 Muliggjørende og industrielle teknologierPolitikk- og forvaltningsområderForskningPortefølje Banebrytende forskningSamfunnssikkerhetIKT forskningsområdePortefølje Energi og transportTransport og mobilitetPortefølje Muliggjørende teknologierGrunnforskningIKT forskningsområdeVisualisering og brukergrensesnittIKT forskningsområdeSmarte komponenterKlimarelevant forskningBransjer og næringerIKT-næringenBransjer og næringerTransport og samferdselLTP3 Bærekraftige byregioner og transportsystemerFornyelse og innovasjon i offentlig sektorInnovasjonsprosjekter og prosjekter med forpliktende brukermedvirkningLTP3 Klima, miljø og energiPolitikk- og forvaltningsområderSamferdsel og kommunikasjonLTP3 IKT og digital transformasjonIKT forskningsområdeMenneske, samfunn og teknologiPortefølje ForskningssystemetLTP3 Et kunnskapsintensivt næringsliv i hele landetDigitalisering og bruk av IKTLTP3 Samfunnssikkerhet og beredskapLTP3 Fagmiljøer og talenterLTP3 Høy kvalitet og tilgjengelighetPortefølje InnovasjonDigitalisering og bruk av IKTOffentlig sektorBransjer og næringerPolitikk- og forvaltningsområderDigitaliseringTjenesterettet FoUDigitalisering og bruk av IKTPrivat sektorPolitikk- og forvaltningsområderFornyelse og innovasjon i offentlig sektorLTP3 Styrket konkurransekraft og innovasjonsevneAnvendt forskningLTP3 Innovasjon i stat og kommunePortefølje Demokrati og global utvikling