Logo des Repositoriums
 
Konferenzbeitrag

Probabilistic and Empirical Grounded Modeling of Agents in Partial Cooperative (Traffic) Scenarios

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Text/Conference Paper

Zusatzinformation

Datum

2008

Autor:innen

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Logos Verlag

Zusammenfassung

Traffic scenarios can be regarded as problem situations with one or more (partial) cooperative problem solvers. Solving such a problem successfully requires (nonverbal) communication and distributed cognition. This is especially true when traffic is deregulated as in the shared space concept. Each traffic agent has a set of beliefs concerning his state, his goals, and the future behavior of the other agents. Risky but fortunately rare maneuvers can occur anytime. We call these risky maneuvers anomalies (eg. Verletzung der Vorfahrt, riskantes Auffahren, Einscheren, Überholen, ...). An experienced car driver is able to anticipate these anomalies. Novices and handicapped persons do not. It is expected that assistance systems could enhance the situation awareness and the communication competencies of unskilled or non-cooperative drivers. The design challenge for intelligent assistance systems is to model the behavior of traffic agents and diagnose these anomalies. We propose probabilistic models for these challenges.

Beschreibung

Möbus, Claus (2008): Probabilistic and Empirical Grounded Modeling of Agents in Partial Cooperative (Traffic) Scenarios. Workshop Proceedings der Tagungen Mensch & Computer 2008, DeLFI 2008 und Cognitive Design 2008. Berlin: Logos Verlag. ISBN: 978-3-8325-2007-6. pp. 142-144. Modellierung und Simulation von Teams in sicherheitskritischen Mensch-Maschine-Systemen

Schlagwörter

Zitierform

DOI

Tags