AI Enhanced Mobility syftar till att bygga kunskap, erfarenhet och nya samarbeten inom AI-tillämpning för framtidens hållbara mobilitetssystem. Projektet är en katalysator för att tillämpa AI inom mobilitetsområdet och fördjupa samverkan mellan AI-aktörer och mobilitetsaktörer. Visionen är att Sverige tar en ledande roll i utvecklingen av ett framtida mobilitetssystem för människor och gods som är hållbart, säkert och tillgängligt för alla.
Samarbetspartners: Lindholmen Science Park, iBoxen, The Train Brain, Västtrafik, Technolution, SSPA Sweden, Viscando, Halmstad University, Skövde University, Malmeken, Chalmers, Consenz, Univrses, Asymptotic, Smart Eye, Schenker, Borås University, Svanberg & Svanberg, Örebro University, Zenseact, Trafikverket, Embedl, Volvo Group Trucks Technology, Region Örebro län, VTI, RISE, Jönköping University, Volvo Cars, Linköping University, China-Euro Vehicle Technology.
","en":"AI Enhanced Mobility aims to build knowledge, experience and new collaborations within AI application for sustainable mobility systems. The project is a catalyst for applying AI in the field of mobility and deepening collaboration between actors within AI and mobility. The vision is that Sweden takes a leading role in the development of a future mobility system for people and goods that is sustainable, safe and accessible to everyone.
Collaborators: Lindholmen Science Park, iBoxen, The Train Brain, Västtrafik, Technolution, SSPA Sweden, Viscando, Halmstad University, Skövde University, Malmeken, Chalmers, Consenz, Univrses, Asymptotic, Smart Eye, Schenker, Borås University, Svanberg & Svanberg, Örebro University, Zenseact, Trafikverket, Embedl, Volvo Group Trucks Technology, Region Örebro län, VTI, RISE, Jönköping University, Volvo Cars, Linköping University, China-Euro Vehicle Technology.
"},"dates":{"start_date":"2022-06-01","end_date":"2023-12-31"},"organizations":[{"funding":[{"_id":94,"id":"202100-5216","sv":"Vinnova","en":"Vinnova"}]}],"people":[{"project_leaders":[]},{"other_personnel":[{"_id":"authority-person:75454","orcid":"0000-0003-0998-6585","name":"Davidsson, Paul","role":"co_investigator","affiliation":[{"_id":882938,"sv":"Institutionen för datavetenskap och medieteknik (DVMT)","en":"Department of Computer Science and Media Technology (DVMT)","parent":[{"_id":882937,"sv":"Fakulteten för teknik och samhälle (TS)","en":"Faculty of Technology and Society (TS)","parent":[{"_id":881850,"id":"202100-4920","sv":"Malmö universitet","en":"Malmö University"}]}]},{"_id":882908,"sv":"Internet of Things and People (IOTAP)","en":"Internet of Things and People (IOTAP)","parent":[{"_id":881850,"id":"202100-4920","sv":"Malmö universitet","en":"Malmö University"}]}]},{"_id":"authority-person:76540","orcid":"0000-0002-9471-8405","name":"Persson, Jan A.","role":"co_investigator","affiliation":[{"_id":882908,"sv":"Internet of Things and People (IOTAP)","en":"Internet of Things and People (IOTAP)","parent":[{"_id":881850,"id":"202100-4920","sv":"Malmö universitet","en":"Malmö University"}]},{"_id":882938,"sv":"Institutionen för datavetenskap och medieteknik (DVMT)","en":"Department of Computer Science and Media Technology (DVMT)","parent":[{"_id":882937,"sv":"Fakulteten för teknik och samhälle (TS)","en":"Faculty of Technology and Society (TS)","parent":[{"_id":881850,"id":"202100-4920","sv":"Malmö universitet","en":"Malmö University"}]}]}]}]}],"tags":[{"_id":11510,"id":"10201","sv":"Datavetenskap (datalogi)","en":"Computer Sciences"}],"titles":{"sv":"AI Enhanced Mobility","en":"AI Enhanced Mobility"},"type_of_awards":{"sv":"Projektbidrag","en":"Project grant"},"publications":[],"links":[{"type":"pid","link":"https://mau.diva-portal.org/smash/api/project/swecris/project:8274"}]}]