The objective of the course is to give the participants an overview of epidemiological terminology, data collection and statistical methods and considerations for analysis in the context of traffic safety. The course involves guest lectures by several prominent researchers in Sweden and the US.
The lectures will include case studies, and applications to the real problems in the respective experts’ fields. Target participants for the course are MSc and PhD-students and traffic safety experts from the industry, institutes and government that have an interest in traffic safety as a societal problem and want to learn more about how to perform traffic safety analysis. The different educational and professional background of the students will provide all students with a multi stakeholder perspective of traffic safety analysis.
General information
The overarching goal of this course is to educate university students and professionals (e.g., in industry) in traffic safety analysis methods, providing them with the tools to develop and assess traffic safety solutions, towards vision zero.
The objective of the course is to give the participants an overview of a variety of traffic safety analysis methods, including (but not limited to) epidemiological approaches to traffic safety, Bayesian and Frequentist statistics, the dose-response model, injury risk function creation, and the safe systems approach.
Prerequisites
• MSc in engineering or medicine, or equivalent/similar.
• Some experience in “math” programming is beneficial (e.g., R, Matlab, or Python), as well as basic statistics.
How to apply
Please apply by sending Master course transcripts, CV and a paragraph of motivation explaining why you would like to attend the course to jonas.bargman@chalmers.se; jordanka.kovaceva@chalmers.se
Details
Teacher (s): Jonas Bärgman, Jordanka Kovaceva, Claes Tingvall, Nils Lubbe, Carol Flannagan, Matteo Rizzi, Helena Stigsson, Henrik Imberg, and more.
Course dates: Study period 3-4, typically every other Tuesday afternoon starting January 23rd, 2024 (but exceptions may occur). Twelve to fourteen lectures of 3-4h every second week (with a few exceptions where the time/date is different).
Credits: 7.5
Level: Advanced
Course code: TRA395
Application deadline: Closed for applications.