Course syllabus

Course-PM

TRA395 TRA395 Traffic safety epidemiology lp3 VT24 (7.5 hp)

Course is offered by the department of Tracks

Contact details

List of...

  • examiner
  • lecturer
  • teachers
  • supervisors

...along with their contact details. If the course have external guest lecturers or such, give a brief description of their role and the company or similar they represent.

If needed, list administrative staff, along with their contact details.

Course purpose

Short description of the course purpose and content: can be copied from syllabus in Studieportalen. Additional information can be added.

Schedule

TimeEdit

Course literature

List all mandatory literature, including descriptions of how to access the texts (e.g. Cremona, Chalmers Library, links).

Also list reference literature, further reading, and other non-mandatory texts.

Course design

Description of the course's learning activities; how they are implemented and how they are connected. This is the student's guide to navigating the course. Do not forget to give the student advice on how to learn as much as possible based on the pedagogy you have chosen. Often, you may need to emphasize concrete things like how often they should enter the learning space on the learning platform, how different issues are shared between supervisors, etc.

Provide a plan for

  • lectures
  • exervises
  • laboratory work
  • projects
  • supervision
  • feedback
  • seminars

Should contain a description of how the digital tools (Canvas and others) should be used and how they are organized, as well as how communication between teachers and students takes place (Canvas, e-mail, other).

Do not forget to describe any resources that students need to use, such as lab equipment, studios, workshops, physical or digital materials.

You should be clear how missed deadlines and revisions are handled.

Changes made since the last occasion

A summary of changes made since the last occasion.

Learning objectives and syllabus

Learning objectives:

General learning outcomes for Tracks courses:

  • master problems with open solutions spaces which includes to be able to handle uncertainties and limited information
  • to work in multidisciplinary teams and collaborate in teams with different compositions
  • to critically and creatively identify and/or formulate advanced engineering problems
  • to identify ethical aspects and discuss and judge their consequences in relation to the specific problem
  • to orally and in writing explain and discuss information, problems, methods, design/development processes and solutions.
Course specific learning outcomes:
  1. describe and reflect on the concepts of safe system, safety footprint and vision zero
  2. perform an induced exposure safety benefit assessment
  3. describe how Trafikverket works with the safe traffic (safe system)
  4. develop injury risk functions based on crash data and biomechanical data
  5. describe how health and permanent disability can be measured
  6. describe the use of the Abbreviated Injury Scale (AIS) and other injury classification schemas
  7. describe state-of-the-art of injury risk assessment using human body models
  8. describe and use the dose-response model to assess safety solutions
  9. describe and reflect on different types of data used for traffic safety analysis, including the pros and cons of different types of datasets and specific datasets, including
    1. crash databases
    2. naturalistic driving data
    3. insurance data
    4. describe what pre-crash-matrix data is and how to work with it
    5. the use of event data recorder (EDR) data for traffic safety analysis ¿ possibilities and challenges
  10. calculate the safety benefit of safety solutions using database data
  11. apply frequentist statistical methods for traffic safety analysis
  12. describe the role of p-values in frequentist statistics
  13. apply Bayesian statistical methods for traffic safety analysis including Bayesian confidence intervals, Metropolis-Hastings algorithms, MCMC, model selection Hierarchical models
  14. describe the difference between frequentist and Bayesian statistics
  15. describe and consider sampling bias in traffic safety analysis
  16. use propensity weighting and other weighting procedures in traffic safety analysis
  17. use bootstrapping in traffic safety analysis for variance estimates
  18. describe how virtual simulations can be used to assess the benefit of pre-crash safety solutions
  19. perform traffic safety analysis and adequately formulate conclusions with limitations based on the results.

Link to the syllabus on Studieportalen.

Study plan

If the course is a joint course (Chalmers and Göteborgs Universitet) you should link to both syllabus (Chalmers and Göteborgs Universitet).

Examination form

Description of how the examination – written examinations and other – is executed and assessed.

Include:

  • what components are included, the purpose of these, and how they contribute to the learning objectives
  • how compulsory and/or voluntary components contribute to the final grade
  • grading limits and any other requirements for all forms of examination in order to pass the course (compulsory components)
  • examination form, e.g. if the examination is conducted as a digital examination
  • time and place of examination, both written exams and other exams such as project presentations
  • aids permitted during examinations, as well as which markings, indexes and notes in aids are permitted

Do not forget to be extra clear with project assignments; what is the problem, what should be done, what is the expected result, and how should this result be reported. Details such as templates for project reports, what happens at missed deadlines etc. are extra important to include.

Course summary:

Date Details Due