Journal article
Modeling driver behavior in a cognitive architecture
Human factors, v 48(2), pp 362-380
2006
PMID: 16884055
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This paper explores the development of a rigorous computational model of driver behavior in a cognitive architecture--a computational framework with underlying psychological theories that incorporate basic properties and limitations of the human system.
Computational modeling has emerged as a powerful tool for studying the complex task of driving, allowing researchers to simulate driver behavior and explore the parameters and constraints of this behavior.
An integrated driver model developed in the ACT-R (Adaptive Control of Thought-Rational) cognitive architecture is described that focuses on the component processes of control, monitoring, and decision making in a multilane highway environment.
This model accounts for the steering profiles, lateral position profiles, and gaze distributions of human drivers during lane keeping, curve negotiation, and lane changing.
The model demonstrates how cognitive architectures facilitate understanding of driver behavior in the context of general human abilities and constraints and how the driving domain benefits cognitive architectures by pushing model development toward more complex, realistic tasks.
The model can also serve as a core computational engine for practical applications that predict and recognize driver behavior and distraction.
Metrics
Details
- Title
- Modeling driver behavior in a cognitive architecture
- Creators
- Dario D Salvucci - Department of Computer Science, Drexel University, 3141 Chestnut St., Philadelphia, PA 19104, USA. salvucci@cs.drexel.edu
- Publication Details
- Human factors, v 48(2), pp 362-380
- Publisher
- United States
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000238856700013
- Scopus ID
- 2-s2.0-33745965801
- Other Identifier
- 991014878127604721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Behavioral Sciences
- Engineering, Industrial
- Ergonomics
- Psychology
- Psychology, Applied