نتایج جستجو برای: Driver Modeling
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cognitive architectures (cas) are the core of artificial cognitive systems. a ca is supposed to specify the human brain at a level of abstraction suitable for explaining how it achieves the functions of the mind. over the years a number of distinct cas have been proposed by different authors and their limitations and potentials were investigated. these cas are usually classified as symbolic and...
Digital human modeling (DHM), as a convenient and cost-effective tool, is increasingly incorporated into product and workplace design. In product design, it is predominantly used for the development of driver-vehicle systems. Most digital human modeling software tools, such as JACK, RAMSIS and DELMIA HUMANBUILDER provide functions to predict posture and positions for drivers with selected anthr...
I n t e l l i g e n t T r a n s p o r t a t i o n S y s t e m s intervention. Many DAS applications are safety oriented, such as lane departure warning systems. Some are comfort oriented, such as automated parking assistants. Still others are designed to alleviate the driver's attentional load—for example, traffic signal detectors or the already deployed intelligent cruise control systems. Thes...
This paper reviews and compares car-following and lanechanging logics embedded in some microscopic traffic simulation models, and comments are made on the existing techniques of traffic simulation. Future directions of traffic simulation are identified in three aspects: vehicle modeling, driver modeling, and vehicle movement modeling. To illustrate these ideas, a conceptual model, 2DSIM, is pro...
Methodologies for modeling ramp driver acceleration-deceleration and gap acceptance behavior during freeway merge maneuvers are presented. This study serves an important purpose by pointing to the limitations of current freeway merge models which treat the ramp driver acceleration-deceleration and gap acceptance behavior as deterministic phenomena. In addition, the interdependence of freeway me...
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