Analysis and modelling road user behaviour

The summer school aims to provide with the human factors theoretical foundations for the analysis and modelling of road-user behaviour, within the context of road safety and development of driving automation systems.

21 – 25 September, 2020 (applications are closed)

Keywords: Driver, road-user, driver behavioural models


Due to the worldwide restrictions concerning Covid-19, the IDEA League is offering its Summer Schools in an online format this year. As Chalmers has decided to return to on-campus education in the next semester, this particular Summer School will be offered in two formats: online and on site, at Chalmers campus in Gothenburg, subject to new directives from authorities.


Normally, there are no registration, tuition, and accommodation fees. Typically, students from IDEA League member universities selected to participate in this summer school only have to pay for their own travel costs.


Curriculum vitae & publication list

Letter of motivation

Letter of recommendation (optional)

Road crashes are a global concern: The World Health Organization estimates that 1.35 million road fatalities occur worldwide every year and road crashes are currently the leading cause of death for people aged 5-29 years. In Europe, although road fatalities have significantly decreased during the period 2007-2016, a less evident reduction has been shown since 2013, and a complete stagnation for cyclists’ fatalities during 2010-2018. The current situation calls for more research investigating road-user behavior, to support the design of active safety systems and automated driving and for the creation of driver’s training and coaching procedures. With the aim to enhance knowledge on the topic, this course embraces a multi-disciplinary approach to provide the theoretical foundations and the experimental methodologies to analyze and modelling road-user behavior.

Learning outcomes:

  • Explain the importance of analyzing and modelling road-user behavior, for improving road safety.
  • Illustrate different types of human factors theoretical driver models.
  • Compute relevant quantitative and qualitative metrics, to analyze and model road-user behavior.
  • Identify the challenges in the analysis of real-traffic data from naturalistic studies.
  • Compare the currently available tools for the virtual evaluation of active safety systems.
Online Summer School

This course will be supervised and taught by professors of the Chalmers University of Technology

Organizing Committee

Giulio Bianchi Piccinini, Associate Professor at Chalmers University of Technology

Jörgen Sjöberg, Director International Affairs at Chalmers University of Technology

Ing-Britt Carlsson, IDEA League coordinator at Chalmers University of Technology

Scientific Committee

Marco Dozza, Professor at Chalmers University of Technology

Giulio Bianchi Piccinini, Associate Professor at Chalmers University of Technology