Blar i NTNU Open på forfatter "Olsson, Nils Olof Emanuel"
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3D Claying: 3D Printing and Recycling Clay
Madrid, Javier Alonso; Ortega, Guillermo Sotorrío; Carabaño, Javier Gorostiza; Olsson, Nils Olof Emanuel; Ríos, José Antonio Tenorio (Peer reviewed; Journal article, 2023)Clay is of great interest as a 3D printing material thanks to its ease of use, recyclability and reusability. This paper analyses the technical aspects of the whole printing process. The behaviour of 3D printing clay is ... -
Automatic Train Operation and Project Management: A Scoping Review
Morin, Xavier; Olsson, Nils Olof Emanuel; Lau, Albert (Peer reviewed; Journal article, 2024) -
Challenges of replacing train drivers in driverless and unattended railway mainline systems—A Swedish case study on delay logs descriptions
Jansson, Emil; Olsson, Nils Olof Emanuel; Fröidh, Oskar (Peer reviewed; Journal article, 2023)Currently, the challenges of driverless or unattended train operation have not been described in detail and are often grouped into one category. This paper contributes to filling a knowledge gap regarding the roles of the ... -
ERTMS/ETCS Level 3: Development, assumptions, and what it means for the future
Knutsen, Daniel; Olsson, Nils Olof Emanuel; Fu, Jiali (Peer reviewed; Journal article, 2023)The purpose of this paper is to categorize the research on Level 3 and Hybrid Level 3; map how the research focus on ERTMS Level 3 has developed over time; summarize key assumptions in research on Level 3 and Hybrid Level ... -
Evaluering av prosjektet Venjar-Langset. Tilleggsrapport 2023
Klakegg, Ole Jonny; Emkambaram, Andrasivakumaran; Olsson, Nils Olof Emanuel (Research report, 2023) -
Exploring Pre-Construction Activities in Infrastructure Projects That Can Benefit from Contractor Involvement
Memic, Nadina; Tadayon, Allen; Olsson, Nils Olof Emanuel; Wondimu, Paulos Abebe; Ishtiaque, Tausif Ahmed; Lædre, Ola (Journal article; Peer reviewed, 2023)The pre-construction phase of public infrastructure projects is characterized by significant uncertainty as crucial decisions are made with limited information. This early stage of project development is influenced by a ... -
Graph-Based Approaches to Document Classification and Understanding
Kjosbakken, Eivind (Master thesis, 2024)Automatisk prosessering av bygningsdokumenter kan skape betydelig verdi for kunder i eiendomssektoren. Eiendomsselskaper lagrer og vedlikeholder mange dokumenter, noe som krever mye arbeid. Denne masteroppgaven ser på ... -
How Complex Systems Sometimes Follow Murphy’s Law: Train Delay Prediction at a Station Using Delays at Previous Stops as the Features
Mandhaniya, Pranjal; Olsson, Nils Olof Emanuel; Larsen, Anders S.; Skjøren, Caroline (Peer reviewed; Journal article, 2024) -
Investigating on Combining System Dynamics and Machine Learning for Predicting Safety Performance in Construction Projects
Nishat, Mirza Muntasir; Borkenhagen, Ingrid Renolen; Olsson, Nils Olof Emanuel; Olsen, Jenni Sveen; Rauzy, Antoine Bertrand (Journal article; Peer reviewed, 2024)This study focuses on an investigative approach to combine system dynamics and machine learning algorithms to develop an early warning system for the safety management of construction projects. As the construction industry ... -
Kostnadsestimering i tidlegfase av store offentlege prosjekt – korleis sikre realistiske estimat under høg usikkerheit?
Larsen, Anne Strand Alfredsen; Berg, Helene; Klakegg, Ole Jonny; Welde, Morten; Langlo, Jan Alexander; Olsson, Nils Olof Emanuel (Concept-rapport;73, Report, 2023) -
Opportunism in the management of opportunities: client’s perspective
Marsov, Andrei; Olsson, Nils Olof Emanuel (Journal article; Peer reviewed, 2024)Opportunity management offers the possibility of increasing the chances of achieving the project objectives. In construction projects, some opportunities may be associated with quality improvement, whereas others may lead ... -
Opportunity management enablers in construction projects a systematic literature review
Marsov, Andrei; Lædre, Ola; Andersen, Bjørn Sørskot; Olsson, Nils Olof Emanuel (Journal article; Peer reviewed, 2024)Using various activities and practices for opportunity management, namely, enablers can help maximise opportunities for project-oriented organisations in the construction industry. Opportunity management literature does ... -
Prediction of project activity delays caused by variation orders: a machine-learning approach
Nishat, Mirza Muntasir; Neraas, Sander Magnussen; Marsov, Andrei; Olsson, Nils Olof Emanuel (Journal article; Peer reviewed, 2024)Project activity delays caused by variation orders (VOs) can compromise the achievement of timely project completion. Previous research on machine learning (ML) applications for delay predictions has mainly been concerned ... -
Reducing cost overruns through data-driven methods used in uncertainty analyses
Mæhlen, Julian; Bekkevold, Jan Petter; Welde, Morten; Olsson, Nils Olof Emanuel (Journal article; Peer reviewed, 2024)This article focuses on how data from completed projects can be applied to uncertainty analysis. Cost estimates and risk assessments in public construction projects rely on expert opinions and, by little extent, historical ... -
A Resilience Perspective on Governance for Construction Project Delivery
Olsson, Nils Olof Emanuel; Klakegg, Ole Jonny (Chapter, 2023)This chapter discusses project governance from a resilience perspective. It argues that resilience is a key aspect of project governance, and that project governance is a key tool for project resilience. The chapter describes ... -
Uncertainties in scheduling and execution of trackwork in Sweden
Ivina, Daria; Olsson, Nils Olof Emanuel; Palmqvist, Carl-William; Hiselius, Lena (Peer reviewed; Journal article, 2023)Trackwork planning and scheduling are demanding because they require strategic foresight and must be completed well in advance. In Sweden, trackwork is performed by maintenance contracting companies during an operation ... -
The use of human senses by train drivers to detect abnormalities
Jansson, Emil; Fröidh, Oskar; Olsson, Nils Olof Emanuel (Journal article; Peer reviewed, 2023)Driverless and unattended train operation is a foreseeable future. While many functions of the driver can be automatized and replaced but detecting abnormalities is more difficult to automate. This study investigates how ...