HCSM: a framework for behavior and scenario control in virtual environments
ACM Transactions on Modeling and Computer Simulation (TOMACS) - Special issue on graphics, animation, and visualization for simulation environments
A behaviorist knowledge representation
ICS'09 Proceedings of the 13th WSEAS international conference on Systems
Computational modeling of risk-dependent eye movements of car drivers
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Computational modeling of risk-related eye movement of car drivers
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Pre-post accident analysis relates to pre-cursor emotion for driver behavior understanding
ACS'11 Proceedings of the 11th WSEAS international conference on Applied computer science
The effect of map information on brain activation during a driving task
LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation
Hi-index | 0.00 |
A framework for modeling driver behavior within driving simulators is described in this paper. This framework serves as a basis for building human- like driving behavior models for autonomous vehicles operating within the virtual environment of a driving simulator. The framework consists of four units, the Perception Unit, the Emotions Unit, the Decision- making Unit (DMU), and the Decision- implementation Unit (DIU). The Perception Unit defines how the model perceives its environment in local and global terms. The Emotions Unit defines how the model responds emotionally to its environment. The DMU investigates the environment for possible actions that might potentially serve the model's emotional demands. And finally the DIU tries to implement these decisions when a traffic condition, perceived as safe enough for such an implementation, emerges. Each of these units has its own set of fuzzy variables and fuzzy ifthen rules. Any driving model, that is based on this framework, should provide membership function parameters for these fuzzy variables in accordance with the category of human driving behavior this model is targeting. Our framework addresses decision making and implementation at the maneuvering and operational levels of the driving task. Decisions at the planning level are addressed through a script- based traffic controller. The present model is limited to simulating human behaviors when driving in a two- lane rural environment.