Modeling Driver Lane Changing Based on the QN-MHP Cognitive Architecture

Modeling Driver Behavior in a Cognitive Architecture

OBJECTIVE 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. BACKGROUND Computational modeling has emerged as a powerful tool for studying the complex task of driving, allowing researchers to ...

Lane Change Trajectory Model Considering the Driver Effects Based on MANFIS

The lane change maneuver is among the most popular driving behaviors. It is also the basic element of important maneuvers like overtaking maneuver. Therefore, it is chosen as the focus of this study and novel multi-input multi-output adaptive neuro-fuzzy inference system models (MANFIS) are proposed for this behavior. These models are able to simulate and predict the future behavior of a Dri...

Modeling Steering Using the Queueing Network - Model Human Processor (qn-mhp)

The Queueing Network Model Human Processor (QN-MHP) is a computational architecture that combines the mathematical theories and simulation methods of queueing networks (QN) with the symbolic and procedure methods of a GOMS-style task description and the Model Human Processor (MHP). Using QN-MHP, a steering model was created to represent the concurrent perceptual, cognitive, and motor activities...

Modeling Freeway Lane Changing Behavior

Drivers continuously evaluate the surrounding traffic and the roadway environment, and make decisions about lanes and travel speed. The objective of this thesis is to develop a lane changing model that can be used in microscopic traffic simulation models to capture drivers' lane changing behavior. Lane change is modeled as a sequence of four steps: decision to consider a lane change, choice of ...

Integrated Driver Modeling in the ACT-R Cognitive Architecture