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.
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.
Current research projects
-
Tillförlitlig ruttplanering (TIRUP), Trafikverket
-
Klimatkänsligt beslutsstöd för godstransportplanering och beslutsfattande (AI GTP), Vinnova
-
Planning RESilient Collective mobility under extreme weather: Users, INfrastructure, and Governance (RESCUING), K2
-
Investigating research themes for innovative intermodal freight transport solutions (IRIS), TRENoP
-
Kollektivtrafik under byggarbeten – en datadriven prototyp (KUB), LiU
