Study on Driver Emotion in Driver-Vehicle-Environment Systems Using Multiple Networked Driving Simulators
نویسنده
چکیده
Driving simulators have been widely used to investigate driver behavior and psychophysiological responses. In this paper, we proposed to use multiple participant-operated driving simulators which communicate with each other so the platoon formed by the simulators can demonstrate realistic effects of driver-driver interaction in simulation scenarios. In our preliminary experiment, three driving simulators were connected through Northeastern’s campus network. One was a fixed-based high fidelity driving simulator with an actual automobile cabin and large curve screen in our Virtual Environments Laboratory. The other two are relative low cost simulators housed in the Intelligent Human-Machine Systems Laboratory. With this configuration, we investigated emotional behavior (anger, neutral, and excitation) of drivers by collecting driving performance data, psychophysiological responses and eye movement data. The results demonstrated the feasibility and efficiency of using multiple networked driving simulators to study driver emotional behavior, e.g., road rage. DSC 2007 North America – Iowa City – September 2007
منابع مشابه
A Platform with Multiple Head-Mounted Displays for Advanced Training in Modern Driving Schools
Automotive manufacturers and suppliers develop new vehicle systems, such as Advanced Driver Assistance Systems (ADAS), to increase traffic safety and driving comfort. ADAS are technologies that provide drivers with essential information or take over demanding driving tasks. More complex and intelligent vehicle systems are being developed toward fully autonomous and cooperative driving. Apart fr...
متن کاملRoad Departure Avoidance System Based on the Driver Decision Estimator
In this paper a robust road departure avoidance system based on a closed-loop driver decision estimator (DDE) is presented. The main idea is that of incorporating the driver intent in the control of the vehicle. The driver decision estimator computes the vehicle look ahead lateral position based on the driver input and uses this position to establish the risk of road departure. To induce a risk...
متن کامل1 A Platform with Multiple Head - Mounted Displays 2 for Advanced Training in Modern Driving Schools 3
Automotive manufacturers and suppliers develop new vehicle systems, such as 14 Advanced Driver Assistance Systems (ADAS), to increase traffic safety and driving comfort. ADAS 15 are technologies that provide drivers with essential information or take over demanding driving 16 tasks. More complex and intelligent vehicle systems are developed towards fully autonomous 17 driving. Apart from the te...
متن کاملDriver behavior and advanced driver assistance systems: an exploratory driving simulator study
This paper explores potential driver behavior changes due to the interactions with advanced vehicle technologies emerging on the market. These technologies, called Advanced Driver Assistance Systems (ADAS) can take control over specific functions of the vehicle, and provide warnings to assist drivers in a variety of driving tasks. These technologies were designed mainly to improve roadway safet...
متن کاملAn Autonomous Driver Model for the Overtaking Maneuver for Use in Microscopic Traffic Simulation
Autonomous driver models are widely used in driving simulators as an integral part of microscopic traffic simulation within the virtual environment. Realistic and believable driver models significantly enhance the user's experience and are often necessary for conducting simulator-based research. One way to increase the traffic fidelity is to extend the behaviors exhibited by driver models. Typi...
متن کامل