The York Driving Simulator is ideally suited for those applications requiring detailed scenario design and extensive and transparent data collection without the requirement for high fidelity graphics and complex motion platforms. Traditionally these applications have been in the psychological, sleep, human factors, ergonomics, pharmaceutical, and neurosciences where research scientists have used the York Driving Simulator to answer a diverse array of scientific questions.
Driving Simulator Applications
Study the effects of driver distraction on driving behaviour by building driving simulator scenarios that stress the attentional systems.
Sleepiness and driving is an important issue given that sleepy states can adversely affect driver performance. This is an issue for long distance truck drivers and shift workers, for example.
Drugs have varying affects on driver performance and understanding their specific effects will be increasingly important as laws change about their usage, e.g., marijuana.
Presenting information to drivers in an optimal way to facilitate decision making is an important enterprise and will become more so as the driving environment becomes more complex.
Brain imaging technology is becoming more used and has tremendous applications for understanding the neural basis for decision making in a driving context, e.g., accident avoidance.
Driving education can be done using a classroom full of driving simulators where each students has their own simulators that are networked together.
Insurance companies doing promotion or education outreach can implement driving simulators at their trade shows, branded with their logos, colours, and promotional material.