Optimal Design of Driving Simulator Scenario System Based on Speed Perception
Renfang Zha, Wencheng Tang
Abstract
Renfang Zha, Wencheng Tang
Abstract
Driving simulator is widely used for examining driver behavior, developing new vehicle safety systems and training for driving license. The external validity of a driving simulator is measured by the comparison of actual speed between simulation and real world. The objective of this study is to validate the speed perception of a typical driving simulator scenario system based on edge rate and optic flow rate, which mainly influence human's speed perception. In a driving simulator scenario system, we optimized the scenario system by adjusting density of road guardrail and density of dashed line. Results from all the experiments showed that each factor influencing speed perception could be optimized to polish up the driving simulator scenario system. The results of this paper could be applied to optimize driving simulator scenario system.
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Driving simulator is widely used for examining driver behavior, developing new vehicle safety systems and training for driving license. The external validity of a driving simulator is measured by the comparison of actual speed between simulation and real world. The objective of this study is to validate the speed perception of a typical driving simulator scenario system based on edge rate and optic flow rate, which mainly influence human's speed perception. In a driving simulator scenario system, we optimized the scenario system by adjusting density of road guardrail and density of dashed line. Results from all the experiments showed that each factor influencing speed perception could be optimized to polish up the driving simulator scenario system. The results of this paper could be applied to optimize driving simulator scenario system.
Key concepts: Driving simulator, Simulation, Driving simulation, Computer science, Perception, License, Neuroscience, Operating system