Anders Peterson

Professor, Head of Unit

I study, teach, and supervise doctoral students in planning and controlling of railway and public transport. I am docent in the academic area of Infra Informatics.

Presentation

In my research I develop models and methods for planning and controlling of railway and public transport. The models are used for example as decision support for strategic investments, tactical schedules, and operational planning. Optimization and simulation are typical methodological approaches.

My research is widely funded by the Swedish Transport Administration, Trafikverket, through the national research program Capacity in the Railway Traffic System (KAJT) and is organized in close cooperation with other KAJT partners, especially Research Institutes of Sweden (RISE) and the Swedish National Road and Transport Research Institute (VTI). I am also part of K2, the Swedish Knowledge Centre for Collective Mobility. I collaborate internationally via for example Europe’s Rail and International Association of Railway Operations Research (IAROR). I am coordinator for the area Traffic Planning and Control within Trafikverket’s strategic effort for excellence in railway research.

I am currently engaged as the main supervisor for three doctoral students addressing pre-planning and re-planning of railway traffic, as well as modelling of vehicle movements within a bus terminal.

I teach basic traffic planning and advanced planning in railway and public transport. I am examiner for the courses Introduction to Urban Systems Engineering and Logistics (TNK136), Planning of Public Transportation and Railway Traffic (TNK098) and Scientific Methodology in Logistics (TNG042). I supervise and examine thesis projects on bachelor’s and master’s level.

Personally, I’m a passionate public transport traveller and like to voyage by train, bus, boat, tram, and other means of transport in countries all over the world.

Publications

2025

Liyun Yu, Carl Henrik Häll, Anders Peterson, Christiane Schmidt (2025) Short-Term Crew Rescheduling: Extending the Scheduling Options in a Tabu-Search-Based Approach RailDresden 2025 (Conference paper)

Liyun Yu, Carl Henrik Häll, Anders Peterson, Christiane Schmidt (2025) Late Train-Crew Rescheduling-a Model and a Heuristic Approach Transportation Research Procedia, Vol. 86, p. 337-344 (Article in journal)

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David Dekker, Carl Henrik Häll, Anders Peterson, Christiane Schmidt (2025) A New Approach for Rerouting Multiple Trains During Construction Works and Major Disturbances RailDresden 2025 (Conference paper)

Inneke Van Hoeck, Carl Henrik Häll, Anders Peterson, Pieter Vansteenwegen (2025) Examining the Impact of the Level of Detail in Railway Infrastructure Modeling on Timetable Optimization

2024

Carl Henrik Häll, Anders Peterson, Christiane Schmidt, Liyun Yu (2024) Un modello di programmazione lineare mista a numeri interi per la riprogrammazione dei treni merci in caso di chiusura inaspettata dello scalo di smistamento [A Mixed-Integer-Linear-Programming Model for Rescheduling Freight Trains under an Unexpected Marshalling-Yard Closure] Ingegneria Ferroviaria, Vol. 6, p. 463-482 (Article in journal)

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Collaborations

I collaborate within the research program Capacity in the Railway Traffic System and the Swedish National Centre for Collective Mobility.

Capacity in the Railway Traffic System

The core activity of this program is in the development of processes and innovations in the field of capacity planning and traffic management from operational service to 40 years in the future.

K2 - The Swedish Knowledge Center for Collective Mobility

K2 is Sweden’s national knowledge centre for collective mobilityThis is where academia, the public sector and industry meet to discuss and develop the role of collective mobility in Sweden.

Research

Railway and public transport

The research group for railway and public transport is interested in developing models and methods, which describe the traffic and can be used as decision support tools.

Organisation

Communications and Transport Systems

Expertise in advanced modelling, systems analysis, and information management to enhance sustainability, mobility, and efficiency in urban development, transport, logistics, and information and communication technologies.

Department of Science and Technology (ITN)

We research and teach in several technical and scientific disciplines in which our main areas are organic electronics, media, communications and logistics.