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The relationship between driving risk levels and drivers' personality traits, physical and emotional conditions

机译:驾驶风险水平与司机人格特质,身体和情感条件的关系

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This paper presents a study aimed to investigate the relationship between driver personality traits and the level of driving risk taken by driver during a trip, and also the relationship between driving risk levels and driver's physical and emotional conditions while driving. To this end, a survey was conducted to gain an objective measure of the risk level, which gives an indication of the driving conditions (safe or unsafe), and subjective judgements of the drivers about their personal characteristics. Objective measures were obtained from kinematic parameters (instantaneous speed, longitudinal and lateral accelerations) recorded along each trajectory followed by the driver. For this aim, smartphones equipped with GPS and accelerometer were used. On the other hand, drivers were asked to complete a questionnaire about their personality traits, and physical and emotional conditions while driving, which can influence their driving style. Each driver covers the same path several times in different days, in order to capture different physical and emotional conditions and driving styles. The sample of drivers belongs to a population of car drivers between 25 and 50 years old who every day drive by their private car for reaching their destination of work or study. Overall, drivers made about 170 tests covering about 1,100 km. We proposed a correlation analysis between the drivers' characteristics and the risk level obtained by using acceleration and speed data. As an example, we found that characteristics such as patience and meticulousness positively influence the level of safety.
机译:本文提出了一项研究,旨在调查驾驶人格特征与驾驶员在旅行期间采取的驾驶风险水平的研究,以及在驾驶时驾驶风险水平和驾驶员的身体和情感条件之间的关系。为此,进行了一项调查,以获得风险水平的客观衡量标准,这给出了驾驶条件(安全或不安全)的迹象,以及司机对其个人特征的主观判断。沿着每个轨迹记录的运动参数(瞬时速度,纵向和横向加速),沿着驾驶员沿着每个轨迹记录的运动措施。为此目的,使用配备GPS和加速度计的智能手机。另一方面,要求司机在驾驶时填写关于他们的人格特征的问卷,以及驾驶时的身体和情感条件,这会影响他们的驾驶风格。每个司机在不同的日子里覆盖了多次相同的路径,以捕获不同的身体和情感条件和驾驶风格。驱动因素样本属于25至50岁的汽车司机,每天乘坐私家汽车到达他们的工作目的或学习目的地。总体而言,司机约有170个测试占地约1,100公里。我们提出了通过使用加速和速度数据获得的司机特征与风险等级之间的相关性分析。作为一个例子,我们发现诸如耐心和细致的特征积极影响安全水平。

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