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Human Factors of Automated & Cooperative Driving

Vortragende/r (Mitwirkende/r)
Umfang2 SWS
SemesterWintersemester 2017/18
Stellung in StudienplänenSiehe TUMonline
TermineSiehe TUMonline


Teilnahmekriterien & Anmeldung


Upon successful completion of the course you will: • understand the basic technology, the important human-machine interaction concepts and major human factor issues of automated and cooperative driving; • be able to analyse interaction and interface techniques for automated and cooperative driving; and • be able to evaluate the human-machine interfaces and human/machine capabilities for automated and cooperative driving in terms of effectiveness and potential human factor issues.


In this seminar, we cover automated & cooperative driving with a focus on human factors including implications for road safety and comfort. In each session, we cover one of the following topics: 0) Introduction (Vision, Topics Overview & 3 Lit. Recommendations, assignment of teams and topics, From driver assistance to automated driving (the evolution from manual car driving, supported & assisted driving towards automated, connected and autonomous driving, standards) (no discussion) 1) Transition of control (take-over, controllability of highly automated systems, assessing take-over performance, shared control paradigms) (for this and future topics: 30 min. lecture, 30 min. literature presentation + 30 min. discussion) 2) Wizard of Oz vs. simulator studies (comparison of methods) 3) Interaction for cooperative and automated systems (motivating cooperative driving for lane changes, gamification/game-theory, costs and benefits for cooperation, point balance for the depot per combination of left and right cooperation) 4) Non-driving related tasks (utilizatio of drivetime, differences in increasing automation, assessing suitability, legal implications) 5) Fatigue (fatigued, aroused, influence of fatigued driver on the take-over performance) 6) The psychology of automated driving (does the interaction with an automated system depend on the operator? Attitutes towards automation: trust, acceptance, Measurability of constructs and methodology) 7) Mode awareness (Mode errors, different responsibilites in different levels of automation and the corresponding awareness) 8) Using implicit communication to improve the outward image of AVs (alternative trajectories or forms of labeling, AV's way to communicate with trajectories) 9) User experience (influencing factors, momentary experience, driving assessment, measuring UX) 10) Legible design of automatic driving maneuvers (lane change, arbitration) All students read a summarizing paper (given below) as a preparation. Additionally, a team of two students conduct and present a literature review for that topic and moderate the following discussion or workshop.

Inhaltliche Voraussetzungen

Bachelor level education in mechanical engineering, civil engineering, industrial design, computer science, psychology or comparable studies. Endorsed is the previous participation in human factors lectures, e.g. 'product ergonomics', 'human reliability', or 'advanced driver assistant systems in vehicles'.

Lehr- und Lernmethoden

The course is jointly given at TU Delft and TU München in conjunction with the European project Human Factors of Automated driving ( and will be presented at both universities by Riender Happee (TU Delft, Visiting Professor TUM) and Klaus Bengler (TUM). • Learning activities for the ""understanding"" will be specialists' literatures, international experts’ presentations, as well as discussion sessions during the seminar. • Learning activities for the ""analysis"" will be the research of reference literature, its categorisation and its discussion and presentation in groups of two persons (assessed by the group presentation). • Learning activities for the ""evaluation"" will be the discussion of the researched literature in an individually written essay (also assessed).

Studien-, Prüfungsleistung

• Discussion quality during the semester course (20%) for assessing the understanding of topics • Presentation of a literature review for one of the topics listed below (30%) for assessing the analysis capabilities • Essay discussing the literature (50%) for assessing the evaluation capabilities

Empfohlene Literatur

A literature list will be provided during the first lecture. Books: • Winner, H., Hakuli, S., Lotz, F., & Singer, C. (Eds.). (2015). Handbuch Fahrerassistenzsysteme (3rd ed.). Wiesbaden: Springer Fachmedien. • Maurer, M., Gerdes, J. C., Lenz, B., & Winner, H. (2015). Autonomes Fahren. Springer Open. Retrieved from