Course syllabus

TME192 Active Safety / Aktiv Säkerhet Course Plan 2022/2023

 

TME192 Active Safety is an elective course offered from the Mechanics and Maritime Sciences Department in the Master Programme for Mobility Engineering (MPAUT). The course is 7.5 credits; the possible grades are 5, 4, 3, not passed, the course is in English.

Aim

The objective of this course is to introduce the students to the design and evaluation of active safety systems, merging an industrial and an academic perspective. In this course, the focus will be on the current design 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.

Course-specific prerequisites

  • BSc in Engineering
  • Good programming skills (ideally in Matlab)
  • Having attended the course TME202 vehicle and traffic safety is recommended

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 constraints and trade-offs for the selection of sensors for the design of active safety systems.
  • Analyse and apply basic algorithms for signal processing, threat assessment, and decision making.
  • Explain the role of human factors in the design of active safety and automated vehicles.
  • Describe the rationale, architecture, and challenges in the development of wireless applications such as cooperative systems.
  • Compare the currently available tools for the evaluation of active safety systems.
  • Identify the challenges in the analysis of real traffic data from field-operational-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 field data

Active safety applications
- Sensors for active safety
- Data processing, threat assessment, and decision making
- Wireless applications (e.g. cooperative systems)
- Automated vehicles

Human factors
- Driver 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

Literature

Handouts from the lectures, journal papers, datasheets, and data dictionaries will be available on-line on the course webpage.

Examination

- Exam, 4 p, graded
- Active safety project, 3.5p, graded

The final grade is the grade from the exam. A poor project or an excellent project may impact your grade (please see instruction for the project to understand how).

Time and place for the examination are on the student portal.

Examples of previous exams are available on this course webpage.

Teaching Team

Examiner: Marco Dozza

Teachers: Jonas Bärgman, Giulio Bianchi-Piccinini, Marco Dozza

Teaching assistants: Tianyou Li, Alexander Rasch, Pierluigi Olleja

Schedule

Ten hours a week are allocated for this course:

  • 13:15-17:00 on Mondays
  • 8:00-11:45 on Thursdays
  • 15:15-17:00 on Fridays

In a typical week, lectures will be on Mondays (13:15-15:00) and Thursdays (8:00-9:45), and exercises on Mondays (15:15-17:00) and Thursdays (10:00-11:45). Help for the active safety project will be offered on Fridays (15:15-17:00).

A complete schedule, with the title of the lectures and the name of the lecturers, is continuously updated on CANVAS. The room for each lecture/exercise is posted on TimeEdit.