Research

Foto: Unsplash




Research

 
 

In the Transport division our research targets transport behaviour and to finding solutions for an effective design and regulation of the transport sector.

 

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 and the economic societal effects using statistical analysis of transport behaviour. We conduct public sector consultancy for the Ministry of Transport and Housing and collaborate with traffic companies and traffic institutions.

The Transport division is divided into six sections:

Contact

Otto Anker Nielsen
Professor/Head of Division/Head of Section
DTU Management
+45 45 25 15 14

Transport Demand Modelling

We model transport demand and assess impacts of transport policies and future infrastructure. 

 

 

 

 

Go to Transport Demand Modelling

Network and Route Choice

We predicts network flows, congestion and travelers route choice. 

 

 

 

 

Go to Network and Route Choice
Foto: Colourbox

Transport Psychology

We study behavior in traffic to support safe and sustainable transport. 

 

 

 

Go to Transport Psychology
Foto: Unsplash

Transport Economics

We develop and apply methods to assess the welfare economic effects of transport policies.

 

 

 

Go to Transport Economics
Foto: Unsplash

Machine Learning for Smart Mobility

We use machine learning techniques to make transport systems smart and adaptive to passenger needs.

 

 

 

Go to Machine Learning for Smart Mobility

Center for Transport Analytics

The Center for Transport Analytics works with various data and models to support scientific advice and research activities in the division.

 

 

 

Go to Center for Transport Analytics