Disputation: Andreas Nakkerud

Doctoral candidate Andreas Nakkerud at the Department of Mathematics will be defending the thesis Integer Programming Approaches for Real-Time Traffic Management for the degree of Philosophiae Doctor.

picture of the candidate

Doctoral candidate Andreas Nakkerud

The PhD defence will be partially digital, in room 720, Niels Henrik Abels hus and streamed directly using Zoom. The host of the session will moderate the technicalities while the chair of the defence will moderate the disputation.

Ex auditorio questions: the chair of the defence will invite the audience to ask questions ex auditorio at the end of the defence. If you would like to ask a question, click 'Raise hand' and wait to be unmuted.

  • Join the disputation
    The webinar opens for participation just before the disputation starts, participants who join early will be put in a waiting room.

    • Download Zoom

    • Submit request to access (available from 24th May 1:15 pm until 9th June 1:15 pm)

Trial lecture

8th of June, time: 1:15 pm, room 720 and Zoom.  

"Collaborative decision making in air traffic management: applications, current trends and research advances"
  • Join the trial lecture
    The webinar opens for participation just before the trial lecture starts, participants who join early will be put in a waiting room. 

Main research findings 

Traffic volumes are increasing in most of the major modes of transportation. As population centers grow in size and density, the increasing demand for public transit and delivery services leads to increased rail and road traffic. At the same time, it can be hard to expand the available infrastructure, as space is often at a premium where the population growth is fastest. Traffic management problems are a class of optimization problems where we seek to minimize delay or maximize throughput when using scarce infrastructure resources.

In this thesis, I develop Integer Programming approaches suitable for practical, real-time application in air and rail traffic management. To achieve the needed efficiency, I introduce new modelling ideas and algorithmic developments. I make use of decomposition and iterative solution approaches. The results of this work include a working algorithm for optimal dispatching at Oslo Central Station.

Adjudication committee

  • Professor Alessandro Agnetis, Università degli Studi di Siena
  • Professor Irina Gribkovskaia, Høgskolen i Molde
  • Associate Professor Ingrid Hobæk Haff, University of Oslo

Supervisors

  • Adjunct Professor Carlo Mannino, University of Oslo 
  • Professor Ingrid Kristine Glad, University of Oslo

Chair of defence

Head of Department Geir Dahl

Host of the session

Associate Professor Ingrid Hobæk Haff

    Candidate's contact information

    LinkedIn

    Organizer

    Department of Mathematics
    Published May 23, 2022 12:41 PM - Last modified Apr. 3, 2024 10:56 AM