Course syllabus adopted 2026-02-27 by Head of Programme (or corresponding).
Overview
- Swedish nameAktiv säkerhet
- CodeTME192
- Credits7.5 Credits
- OwnerMPMOB
- Education cycleSecond-cycle
- Main field of studyAutomation and Mechatronics Engineering, Bioengineering, Computer Science and Engineering, Electrical Engineering, Software Engineering, Mechanical Engineering, Engineering Physics
- DepartmentMECHANICAL ENGINEERING
- GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail
Course round 1
- Teaching language English
- Application code 89144
- Open for exchange studentsYes
Credit distribution
Module | Sp1 | Sp2 | Sp3 | Sp4 | Summer | Not Sp | Examination dates |
|---|---|---|---|---|---|---|---|
| 0113 Written and oral assignments 3.5 c Grading: TH | 3.5 c | ||||||
| 0213 Examination 4 c Grading: TH | 4 c |
In programmes
- MPMED - Biomedical Engineering, MSc Progr, Year 2 (elective)
- MPMOB - Mobility Engineering, Year 1 (compulsory elective)
- MPMOB - Mobility Engineering, Year 2 (elective)
Examiner
- Marco Dozza
- Full Professor, Vehicle Safety, Mechanics and Maritime Sciences
Eligibility
General entry requirements for Master's level (second cycle)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements
Specific entry requirements
English 6 (or by other approved means with the equivalent proficiency level)Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements
Course specific prerequisites
BSc in Engineering (Mathematics, Physics), programming (e.g. Python, Matlab).Aim
The objective of this course is to provide the students with insights on the design and evaluation of active safety systems both from an industrial and from an academic point of view. In this course, the focus will be on the current challenges and evaluation methodologies for the development of active safety systems. This course consists of four parts: safety-relevant events, active safety systems, human factors in active safety, and active safety evaluation.Learning outcomes (after completion of the course the student should be able to)
- Explain the role of accidentology in the development of active safety systems- Identify constrains and trade-offs for the selection of sensors for the design of active safety systems
- Analyze and apply algorithms for signal processing and threat assessment
- Explain the role of human factors in the design of active safety and automated features
- Describe the rationale, opportunities, and challenges in the development of cooperative safety applications
- Compare the tools that are currently available for the evaluation of active safety systems
- Identify the challenges in the analysis of real-traffic data from field-tests or naturalistic studies
- Explain the new safety challenges introduced by automated driving
Content
Safety-relevant events- Crash analysis and crash data
- Analysis of crashes and near-crashes from naturlistic data
Active safety applications
- Sensors for active safety
- Data processing and threat assessment
- Wireless applications (cooperative systems)
- Automated driving
Human factors
- Road-user behavior
- Driver modeling
Active safety evaluation
- Driving simulators
- Naturalistic evaluation (e.g. field operational test)
- Counterfactual analysis and evaluation in virtual environments
Organisation
- Lectures- Short applied exercises
- Active safety assignment
- Visits to the automotive industry and traffic-research institutes
Literature
The literature for the course comprises of:1) Slide presentations from the lectures
2) Video lectures
3) Scientific papers on different topics
4) Engineering standards from different institutions (e.g., ISO, ETSI)
5) Data from controlled and observational experiments
6) Data dictionaries that describe the data
Examination including compulsory elements
To pass the course, students must
1 - Pass a written exam, 4p, graded
2 - Successfully complete the active safety project including all reports, 3.5p, gradedBonus points may be given to students who complete the extra exercises on the lectures.
The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers about disability study support.