Photo of Nils Breyer

Nils Breyer

Assistant Professor

I study how data can be used to create better public transport and railways.

Presentation

My research is about using big data to improve planning, management and traffic information in the transport system with a focus on rail and public transport. The methods I use include machine learning, statistics and other tools for large-scale data processing and analysis. In addition, I am involved in undergraduate education.

My research focuses on how large-scale data sources can be used to understand travel patterns to facilitate transport planning. For example, I have worked on developing methods to analyse travel patterns using data from the mobile network in a way that protects user privacy. I have also investigated how travel patterns in public transport change after long-term disruptions using travel card data. Traffic information is an important part of the experience of travelling by rail and public transport, where there is great potential to provide travellers with more personalised and accurate information. I study how both historical patterns and real-time data can be used to improve traffic information.

My teaching includes courses in optimisation, traffic planning, traffic modelling, public transport, programming, statistical learning. In addition, I supervise bachelor's and master's degree projects. I am also passionate about constantly renewing and further developing our educational programmes.

Publications

2022

Nils Breyer, Clas Rydergren, David Gundlegård (2022) Semi-supervised Mode Classification of Inter-city Trips from Cellular Network Data Journal of Big Data Analytics in Transportation, Vol. 1, p. 23-39 (Article in journal) Continue to DOI

2021

Morten Eltved, Nils Breyer, Jesper Bláfoss Ingvardson, Otto Anker Nielsen (2021) Impacts of long-term service disruptions on passenger travel behaviour: A smart card analysis from the Greater Copenhagen area Proceedings from the Annual Transport Conference at Aalborg University, p. 1-6 (Conference paper)
Morten Eltved, Nils Breyer, Jesper Bláfoss Ingvardson, Otto Anker Nielsen (2021) Impacts of long-term service disruptions on passenger travel behaviour: A smart card analysis from the Greater Copenhagen area Transportation Research Part C: Emerging Technologies, Vol. 131, Article 103198 (Article in journal) Continue to DOI
Nils Breyer (2021) Methods for Travel Pattern Analysis Using Large-Scale Passive Data
Nils Breyer, David Gundlegård, Clas Rydergren (2021) Travel mode classification of intercity trips using cellular network data Transportation Research Procedia, p. 211-218 (Conference paper) Continue to DOI

Research

Organisation