Transport Demand Modelling
Network and Route Choice
Transport Psychology
Transport Economics
Machine Learning for Smart Mobility
Center for Transport Analytics
Read more about The Transport Division
Sustainable, efficient and safe transport
The transport sector is essential for the society. We study transport behaviour and transport systems to find solutions for an efficient design and regulation of the transport sector.
In the Transport Division, we focus on improving mobility in relation to the three main challenges within this sector: 1) climate and environment 2) traffic congestion 3) traffic safety. We put numbers on traffic effects and the economic and societal effects using statistical analysis of transport behaviour. We conduct public sector consultancy for the Ministry of Transport and Housing and collaborate with transport companies and government agencies.
The division considers all scales within transport from the modelling of local pedestrian flows and bicycle traffic to international flight transport. We study all modes of transport both within passenger and freight transport. Our specific focus areas are green transport, electric cars and charging infrastructure, planning and optimization of public transport, bicycle traffic. Our research has a special focus on human behavior and we assess the socio-economic perspectives of transport, including policy instruments and welfare economic appraisal of transport projects.
The Transport Division is internationally leading, and we collaborate with similar partners internationally. Our researchers have a background in mathematical modelling, machine learning and computer science, economics, psychology, and transport engineering. The several disciplines makes them capable of resolving complex problems and find solutions that require an interdisciplinary approach.
If you interested in entering a partnership with us or hear more about the possibilities, please read more here.
The Transport Division is divided into six sections:
We model transport demand and assess impacts of transport policies and future infrastructure.
We develop and apply methods to assess the welfare economic effects of transport policies.
We study behavior in traffic to support safe and sustainable transport.
We use machine learning techniques to make transport systems smart and adaptive to passenger needs.
We predicts network flows, congestion and travelers route choice.
The Center for Transport Analytics works with various data and models to support scientific advice and research activities in the division.