Driver errors contribute to more than 94% of traffic crashes. Automotive companies are striving to enhance their vehicles to eliminate driver errors and reduce the number of crashes. Various advanced features like lan...Driver errors contribute to more than 94% of traffic crashes. Automotive companies are striving to enhance their vehicles to eliminate driver errors and reduce the number of crashes. Various advanced features like lane departure warning (LDW), blind spot warning (BSW), over speed warning (OSW), forward collision warning (FCW), lane keep assist (LKA), adaptive cruise control (ACC), cooperative ACC (CACC), and automated emergency braking (AEB) are designed to assist with, or in some cases take over, certain driving maneuvers. They can be broadly categorized into advanced driver assistance system (ADAS) and automated features. Each of these advanced features focuses on addressing a particular task of driving, thereby, aiding the driver, influencing their behavior, and enhancing safety. Many vehicles with these advanced features are penetrating into the market, yet the total reported number of crashes has increased in recent years. This paper presents a systematic review of these advanced features on driver behavior and safety. The review is categorized into 1) survey and mathematical methods to assess driver behavior, 2) field test methods to assess driver behavior, 3) microsimulation methods to assess driver behavior, 4) driving simulator methods to assess driver behavior, and 5) driver understanding and the effectiveness of advanced features. It is followed by conclusions, knowledge gaps, and need for further research.展开更多
The present study was conducted in order to establish factors that can potentially facilitate crime, as well as the status of the emotional wellbeing presented in the prison population. The sample was composed of 358 ...The present study was conducted in order to establish factors that can potentially facilitate crime, as well as the status of the emotional wellbeing presented in the prison population. The sample was composed of 358 inmates of the Federal Center for Social Rehabilitation number 7 in Mexico. A questionnaire was specifically developed;it evaluated sociodemographic factors and Likert scales of substance intake, domestic violence, and depressive symptoms. Validity and reliability (Cronbach’s Alpha = 0.703) of the instrument showed appropriate relations between the reagents of the scales;results showed—through Chi-Square analysis—statistically significant differences in the correlations between sociodemographic factors, domestic violence, addictions, and depressive symptoms. Although results showed a connection between domestic violence and substance abuse with criminal behavior, low socioeconomic conditions exhibited a higher degree of correlation with criminal activity. On the other hand, high depression symptoms are present in one out of every five inmates.展开更多
文摘Driver errors contribute to more than 94% of traffic crashes. Automotive companies are striving to enhance their vehicles to eliminate driver errors and reduce the number of crashes. Various advanced features like lane departure warning (LDW), blind spot warning (BSW), over speed warning (OSW), forward collision warning (FCW), lane keep assist (LKA), adaptive cruise control (ACC), cooperative ACC (CACC), and automated emergency braking (AEB) are designed to assist with, or in some cases take over, certain driving maneuvers. They can be broadly categorized into advanced driver assistance system (ADAS) and automated features. Each of these advanced features focuses on addressing a particular task of driving, thereby, aiding the driver, influencing their behavior, and enhancing safety. Many vehicles with these advanced features are penetrating into the market, yet the total reported number of crashes has increased in recent years. This paper presents a systematic review of these advanced features on driver behavior and safety. The review is categorized into 1) survey and mathematical methods to assess driver behavior, 2) field test methods to assess driver behavior, 3) microsimulation methods to assess driver behavior, 4) driving simulator methods to assess driver behavior, and 5) driver understanding and the effectiveness of advanced features. It is followed by conclusions, knowledge gaps, and need for further research.
文摘The present study was conducted in order to establish factors that can potentially facilitate crime, as well as the status of the emotional wellbeing presented in the prison population. The sample was composed of 358 inmates of the Federal Center for Social Rehabilitation number 7 in Mexico. A questionnaire was specifically developed;it evaluated sociodemographic factors and Likert scales of substance intake, domestic violence, and depressive symptoms. Validity and reliability (Cronbach’s Alpha = 0.703) of the instrument showed appropriate relations between the reagents of the scales;results showed—through Chi-Square analysis—statistically significant differences in the correlations between sociodemographic factors, domestic violence, addictions, and depressive symptoms. Although results showed a connection between domestic violence and substance abuse with criminal behavior, low socioeconomic conditions exhibited a higher degree of correlation with criminal activity. On the other hand, high depression symptoms are present in one out of every five inmates.
