Mental Model for Assistance at Intersection

15.02.2008, Abschlussarbeiten, Bachelor- und Masterarbeiten

For helping to prevent and to correct driver actions in critical moments, assistant systems should be aware of driver's cognitive capabilities and limits. Various models have been developed to simulate and account for human behavior in driving. Most of the early models focus primarily on a control-theoretic description of driving, like steering control and are too simple for explanation of driver behavior during crisis situations. However, there are significant efforts towards integrated driver models, using cognitive architectures, like ACT-R. Such models are already used for predicting human actions based on certain driving scenarios. In the scope of your work, you should evaluate different models to account for driver behavior at intersection for situation-adaptive assistance. Supplement of this work (for diploma thesis) is extension of chosen models with already available data (from experiments at static-based driving simulator at the Chair of Ergonomics (Faculty of Mechanical Engineering).

Kontakt: plavsic@lfe.mw.tum.de

Mehr Information

http://wwwnavab.in.tum.de/Main/MarinaPlavsic

Aushang

Fahrermodel für Straßenkreuzungen, Aushang (Type: image/jpeg, Größe: 57.9 kB) Datei speichern