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• W1546454922 abstract "This paper describes how the Highway Driving Simulator (HDS) at the Turner Fairbank Highway Research Center (TFHRC) is used to conduct research on how drivers perceive and react to the roadway infrastructure. The simulator allows researchers to test how drivers will react to the current roadway infrastructure and to new infrastructure innovations. The previous generation of the HDS used linear scripting and hard coded algorithms combined with preloaded geometry to generate and control interactive three-dimensional (3D) scenes. In these earlier simulations the scenario file stored the adjustable parameters and desired 3D models for the scenes. However, these techniques are not well suited to script and define the situations required for certain kinds of current research simulations used at the TFHRC. The earlier scenario files did not control the actual progress of the simulation, but rather defined the environment in which the driver interacts. A variation of the traditional scenario control approach is described in the present paper. The Event Driven Dynamic Interactive Experiment, or EDDIE, method expands on various techniques developed for other high fidelity driving simulators, as well as for certain 3D gaming rendering engines. The EDDIE method uses an event driven state engine, not only to control the states of objects, such as autonomous traffic or traffic signals, but also to control the actual progress of the scenario, including which stimulus is given to the driver and when. Such a mechanism to dynamically control the progress of the experiment is required for research which concentrates on features of the physical roadway infrastructure. For this type of research, data collection events are defined only for situations in which data needs to be collected. Events are also defined to generate specific experimental conditions, such as a red-light running vehicle designed to elicit a specific driver reaction. Defined and derived events form the basis for a scenario. These events are combined with scene objects and content definitions, each with its own states and events. Event driven experimental scenarios replace what would otherwise be a sequential series of scenes. In these event driven experiments, randomization functions, such as Monte Carlo algorithms, are used to order the experimental conditions in an unpredictable presentation order. The use of specific event conditions for triggering data collection reduces data storage to only those data required by the researchers, and facilitates quick-look plotting of important results. The EDDIE scenario control software links the discrete event model with real-time interactive driving through the simulation. The EDDIE software has been used for studies concerning nighttime curve recognition and intersection collision avoidance. These two types of studies serve as examples of how the EDDIE scenario control software uses events to define the scenes, control the experimental sequence, specify data collection opportunities, and provide quick-look results." @default.
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• W1546454922 date "2003-01-01" @default.
• W1546454922 modified "2023-09-27" @default.
• W1546454922 title "Event Driven Dynamic Interactive Experiments (EDDIE)" @default.
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