Abstract
Vehicle automation is among the best possible solutions for traffic issues, including traffic accidents, traffic jams, and energy consumption. However, the user acceptance of automated vehicles is critical and is affected by riding comfort. In addition, human factors in automated vehicle control should be clear. This study evaluates the effect of different courses on driving comfort in automated vehicles using field experiments with 25 subjects. This study focused on lateral motion, but speed control was not targeted. Further, generating a path for obstacle avoidance and lane keeping, which have several constraining conditions, was also not targeted. Rendering a comfortable path is beneficial for developing an acceptable system as a car developer and for building new curves for automated or driving assistance systems from the perspective of construction. The automated vehicle drove at a speed of 30 km/h on four courses, namely, clothoid, two types of spline curves, and arc, based on the real intersection. Each participant sat on both the driver and passenger seat and answered a questionnaire. The experimental data indicated the clothoid course to be the most comfortable, while the arc was most uncomfortable for a significance level of 1%. These tendencies are applicable to driver and passenger seats, all genders, and experiences and will be beneficial for human factor research in automated vehicle control.
Highlights
An increase in urban traffic has led to increased traffic jams, traffic accidents, and air pollution, resulting in serious damage
There were no obstacles to the desired course. us, the obstacle avoidance function was inactive
For the path for automated vehicle control, the clothoid curve has been extensively used according to several studies and the result of minimizing the maximum acceleration
Summary
An increase in urban traffic has led to increased traffic jams, traffic accidents, and air pollution, resulting in serious damage. Our automated vehicle employs the function of obstacle detection and avoidance, and when an obstacle is detected on the desired course, the priority of the control is to ensure safety to avoid the obstacle. We focused on comfort while ensuring safety. For the path for automated vehicle control, the clothoid curve has been extensively used according to several studies and the result of minimizing the maximum acceleration. Evaluating our hypothesis in a simulation study was difficult, and we decided to perform the experiments using a real vehicle to prove the hypothesis with persuasive results. E present study evaluates the effect of several methods of constructing curves with the same turning radius on riding comfort. A real automated vehicle on test tracks was used, and riding comfort was evaluated by analyzing filled questionnaires. There exist several methods for constructing curves, and our experiments, four curves were constructed. e experimental vehicle, method of designing curves, experimental scenario, experimental results, and discussion have been explained
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