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    • Road Planning and Route Alignment Selection Criteria in the Norwegian Context 

      Booto, Gaylord Kabongo; O'Born, Reyn Joseph; Ebrahimi, Babak; Vignisdottir, Hrefna Run; Brattebø, Helge; Pitera, Kelly; Wallbaum, Holger; Bohne, Rolf André (Journal article; Peer reviewed, 2019)
      This paper reveals the main factors that guide road alignment design process in Norway. The goal is to discover what constitutes the main priorities for road planners, how these priorities are ranked when it comes to ...

    • Road surface condition detection utilizing resonance frequency and optical technologies 

      Gui, Kang; Ye, Lin; Ge, Junfeng; Alaya Cheikh, Faouzi; Huang, Lizhen (Journal article; Peer reviewed, 2019)
      With the booming development of road network and intelligent transportation systems, road surface condition information becomes more and more valuable in traffic accident prevention and route optimization. Although some ...

    • Road traffic noise and registry based use of sleep medication 

      Evandt, Jorunn; Oftedal, Bente Margaret; Krog, Norun Hjertager; Skurtveit, Svetlana; Nafstad, Per; Schwarze, Per E; Skovlund, Eva; Houthuijs, Danny; Aasvang, Gunn Marit (Journal article; Peer reviewed, 2017)
      Background Road traffic noise has been associated with adverse health effects including sleep disturbances. Use of sleep medication as an indicator of sleeping problems has rarely been explored in studies of the effects ...

    • Road traffic noise, air pollution and incident cardiovascular disease: A joint analysis of the HUNT, EPIC-Oxford and UK Biobank cohorts 

      Cai, Yutong; Hodgson, Susan; Blangiardo, Marta; Gulliver, John; Morley, David; Fecht, Daniela; Vienneau, Danielle; de Hoogh, Kees; Key, Tim; Hveem, Kristian; Elliott, Paul; Hansell, Anna L. (Peer reviewed; Journal article, 2018)
      Background This study aimed to investigate the effects of long-term exposure to road traffic noise and air pollution on incident cardiovascular disease (CVD) in three large cohorts: HUNT, EPIC-Oxford and UK Biobank. ...

    • Road tunnel‑derived coarse, fine and ultrafine particulate matter: physical and chemical characterization and pro‑inflammatory responses in human bronchial epithelial cells 

      Skuland, Tonje Schwach; Grytting, Vegard Sæter; Låg, Marit; Jørgensen, Rikke Bramming; Snilsberg, Brynhild; Leseman, Daan L.A.C.; Kubatova, Alena; Emond, Jessica; Cassee, Flemming R.; Holme, Jørn Andreas; Øvrevik, Johan; Refsnes, Magne Arnold (Peer reviewed; Journal article, 2022)
      Background Traffic particulate matter (PM) comprises a mixture of particles from fuel combustion and wear of road pavement, tires and brakes. In countries with low winter temperatures the relative contribution of ...

    • Road users’ evaluations and perceptions of road infrastructure, trip characteristics, and daily trip experiences across countries 

      Azık, Derya; Solmazer, Gaye; Ersan, Özlem; Kaçan, Bilgesu; Fındık, Gizem; Üzümcüoğlu, Yeşim; Özkan, Türker; Lajunen, Timo Juhani; Öz, Bahar; Pashkevich, Anton; Pashkevich, Maria; Danelli-Mylona, Vassiliki; Georgogianni, Dimitra; Berisha Krasniqi, Ema; Krasniqi, Muhamed; Makris, Evangelos; Shubenkova, Ksenia; Xheladini, Gentianë (Peer reviewed; Journal article, 2021)
      Governments in every country have made attempts to encourage road safety, and road users’ perceptions of these attempts are crucial to understanding community needs and the effectiveness of road safety initiatives. However, ...

    • Road works ahead: the journey of an innovative cross-campus hybrid learning space navigating higher education institutions’ organizational setbacks 

      De Caro-Barek, Veruska; Støckert, Robin (Journal article; Peer reviewed, 2024)
      The most recent UN publication on Sustainable Development Goals (SDGs), which covers issues related to socioeconomic, environmental, and technological development on a global scale towards 2030, has expanded its focus to ...

    • Road-map for gas in the Norwegian metallurgical industry: greater value creation and reduced emissions 

      Dalaker, Halvor; Ringdalen, Eli; Kolbeinsen, Leiv; Mårdalen, Jostein (Research report, 2017)
      In order to increase the use of gas in metal production, we will need to develop new – and to further develop existing – gas-based technologies, which will need to be adopted on an industrial scale. In order to provide a ...

    • A Roadmap to Inform Development, Validation and Approval of Digital Mobility Outcomes: The Mobilise-D Approach 

      Rochester, Lynn; Mazza, Claudia; Mueller, Arne; Caulfield, Brian; McCarthy, Marie; Becker, Clemens; Miller, Ram; Piraino, Paolo; Viceconti, Marco; Dartee, Wim P; Garcia-Aymerich, Judith; Aydemir, Aida A; Vereijken, Beatrix; Arnera, Valdo; Ammour, Nadir; Jackson, Michael; Hache, Tilo; Roubenoff, Ronenn (Journal article, 2020)
      Helsevesenet har måttet tilpasse seg raskt til COVID-19, og dette har igjen understreket et presserende behov for verktøy for å lette fjernbesøk og overvåking. Digital helseteknologi, inkludert kroppsbrukte enheter, tilbyr ...

    • Roads and livelihood activity choices in the Greater Serengeti Ecosystem, Tanzania 

      Walelign, Solomon Zena; Nielsen, Martin Reinhardt; Jacobsen, Jette Bredhal (Journal article; Peer reviewed, 2019)
      Road development is occurring at an unprecedented rate in important conservation areas in tropical countries with limited understanding of how local people will adjust their livelihood activities in response. We use a ...

    • Roads with underlying tar asphalt - spreading, bioavailability and toxicity of their polycyclic aromatic hydrocarbons 

      Kumpiene, Jurate; Larsson, Martin Oscar; Carabante, Ivan; Arp, Hans Peter (Peer reviewed; Journal article, 2021)
      Some of the older Swedish roads contain road tar underneath a surface layer of bituminous asphalt. This road tar, also known as tar asphalt, contains large amounts of polycyclic aromatic hydrocarbons (PAHs). There is concern ...

    • Robertson-Stiff rheological model in fracture flow 

      Lavrov, Alexandre (Peer reviewed; Journal article, 2022)
      Robertson-Stiff rheological model has been recently shown to provide a more accurate description of a drilling fluid than the Herschel-Bulkley model. In this short communication, a relation between the pressure gradient ...

    • Robot Dynamics with URDF & CasADi 

      Johannessen, Lill Maria; Arbo, Mathias Hauan; Gravdahl, Jan Tommy (Chapter, 2019)
      Fast, accurate evaluation of the dynamics parameters is a key ingredient for accurate control, estimation, and simulation of robots. As these are time-consuming to compute by hand, a software library for generating the ...

    • Robot picker solution in order picking systems: an ergo-zoning approach 

      Sgarbossa, Fabio; Romsdal, Anita; Johannson, Finn Hartvig; Krogen, Torbjørn (Peer reviewed; Journal article, 2020)
      Manual order picking is the most labour-intensive activity in warehouses. As an alternative, robot pickers that can work alongside manual order pickers have emerged. This paper presents such a robot picker and develops a ...

    • Robot-assisted magnetic capsule endoscopy; navigating colorectal inclinations 

      Mahmood, Salman; Schostek, Sebastian; Schurr, Marc O.; Bergsland, Jacob; Balasingham, Ilangko; Fosse, Erik (Peer reviewed; Journal article, 2022)
      Purpose: To investigate the interaction of a robot assisted magnetically driven wireless capsule endoscope (WCE) with colonic tissue, as it traverses the colorectal bends in the dorsal and ventral directions, relying only ...

    • Robot-supervised Learning of Crop Row Segmentation 

      Bakken, Marianne; Moore, Richard J.D.; From, Pål Johan; Omholt Gjevestad, Jon Glenn; Ponnambalam, Vignesh Raja (Chapter, 2021)
      We propose an approach for robot-supervised learning that automates label generation for semantic segmentation with Convolutional Neural Networks (CNNs) for crop row detection in a field. Using a training robot equipped ...

    • Robotic Autoscanning of Highly Skewed Ship Propeller Blades 

      Njåstad, Eirik Bjørndal; Munthe-Kaas, Njål; Egeland, Olav (Journal article; Peer reviewed, 2018)
      This paper presents an approach for a complete scanning of ship propeller blades. Inline quality control for advanced manufacturing or inspection of operational propeller blades requires automated and highly accurate 3D ...

    • Robotic Bin-Picking under Geometric End-Effector Constraints: Bin Placement and Grasp Selection 

      Gravdahl, Irja; Seel, Katrine; Grøtli, Esten Ingar (Chapter, 2019)
      In this paper we demonstrate how path reachability can be taken into account when selecting among predetermined grasps in a bin-picking application, where grasps are supplied independently of the robot at hand. We do this ...

    • Robotic Harvesting of Fruiting Vegetables: A Simulation Approach in V-REP, ROS and MATLAB 

      Shamshiri, Redmond Ramin; Hameed, Ibrahim A.; Karkee, Manoj; Weltzien, Cornelia (Chapter, 2018)
      In modern agriculture, there is a high demand to move from tedious manual harvesting to a continuously automated operation. This chapter reports on designing a simulation and control platform in V-REP, ROS, and MATLAB for ...

    • Robotic in-row weed control in vegetables 

      Utstumo, Trygve; Urdal, Frode; Brevik, Anders; Dørum, Jarle; Netland, Jan; Overskeid, Øyvind; Berge, Therese W.; Gravdahl, Jan Tommy (Journal article; Peer reviewed, 2018)
      Vegetables and other row-crops represent a large share of the agricultural production. There is a large variation in crop species, and a limited availability in specialized herbicides. The robot presented here utilizes ...