ObjectivesIn the brain, the mechanisms of attention to the left and the right are known to be different. It is possible that brain activity when driving also differs with different horizontal road alignments (left or right curves), but little is known about this. We found driver brain activity to be different when driving on left and right curves, in an experiment using a large-scale driving simulator and functional near-infrared spectroscopy (fNIRS).Research Design and MethodsThe participants were fifteen healthy adults. We created a course simulating an expressway, comprising straight line driving and gentle left and right curves, and monitored the participants under driving conditions, in which they drove at a constant speed of 100 km/h, and under non-driving conditions, in which they simply watched the screen (visual task). Changes in hemoglobin concentrations were monitored at 48 channels including the prefrontal cortex, the premotor cortex, the primary motor cortex and the parietal cortex. From orthogonal vectors of changes in deoxyhemoglobin and changes in oxyhemoglobin, we calculated changes in cerebral oxygen exchange, reflecting neural activity, and statistically compared the resulting values from the right and left curve sections.ResultsUnder driving conditions, there were no sites where cerebral oxygen exchange increased significantly more during right curves than during left curves (p > 0.05), but cerebral oxygen exchange increased significantly more during left curves (p < 0.05) in the right premotor cortex, the right frontal eye field and the bilateral prefrontal cortex. Under non-driving conditions, increases were significantly greater during left curves (p < 0.05) only in the right frontal eye field.ConclusionsLeft curve driving was thus found to require more brain activity at multiple sites, suggesting that left curve driving may require more visual attention than right curve driving. The right frontal eye field was activated under both driving and non-driving conditions.
Energy consumption and CO 2 emission are world-wide problems In Japan a new project for reducing CO 2 called "Energy ITS project" has started since 2008 by NEDO (New Energy and Industrial Technology Development Organization) In this paper a path following control method based on nonholonomic tracking control for autonomous drivinng of automotives is proposed to follow the determined path as accurately as possible. Path following control can treat the nonlinearities of the system, and it can follow the reference path more accurately. Different from tracking control, path following control separates velocity control and steering control. The performance of the designed control system which consists of a path following controller and a velocity controller is evaluated by simulation and experimental results
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