A study of the compliance level of connected vehicle warning information in a fog warning system based on a driving simulation

The accidents in the freeway are frequent and more serious on foggy days. Connected vehicle (CV) technology as a new technology can inform drivers of fog conditions in advance so the drivers can adjust their driving behaviors through Human Machine Interface (HMI) and Dynamic Message Sign (DMS) in the fog warning system. The level of driver's compliance with a fog warning system is the key to assessing the effectiveness of the fog warning system. To evaluate the compliance level of fog warning system, the study established a CV system testing platform based on driving simulator, and analyzed the changes in driving behavior and influencing factors for drivers under three different visibility conditions (No fog, light fog and heavy fog) based on the platform, finally, comprehensive evaluation of the optimal fog warning system under different foggy conditions based on the compliance level were made. Research indicators are divided into three aspects: 1) the response degree, including the mean speed, the minimum speed in the fog zone, the difference of the speeds when entering and leaving the fog zone, the proportion of speed following, and the speed reduction proportion prompt; 2) the response start time, which is the time to start slowing down to the speed limit; and 3) the response time duration, namely, the time in which the speed limit is followed. The results show that the response degree of the driver to the fog warning system is high, the fog warning system can effectively reduce the driving speed of the drivers and improve the speed following proportion of the drivers, the deceleration ratio of the driver at each warning point is relatively high, and the influencing factors of various indicators are complex but are mostly related to visibility and technical level. Comprehensive evaluation results show that the warning mode of the combined HMI and DMS has the highest level of compliance under light fog conditions, and when fog concentration increases, compliance level of fog warning system with HMI only is higher than others. The study establishes a reference platform for CV system and provides methods and index system for the compliance level of CV research.     

Eye movements predict driver reaction time to takeover request in automated driving: A real-vehicle study

For automated driving at SAE level 3 or lower, driver performance in responding to takeover requests (TORs) is decisive in providing system safety. A driver state monitoring system that can predict a driver’s performance in a TOR event will facilitate a safer control transition from vehicle to driver. This experimental study investigated whether driver eye-movement measured before a TOR can predict driving performance in a subsequent TOR event. We recruited participants (N = 36) to obtain realistic results in a real-vehicle study. In the experiment, drivers rode in an automated vehicle on a test track for about 32 min, and a critical TOR event occurred at the end of the drive. Eye movements were measured by a camera-based driver monitoring system, and five measures were extracted from the last 2-min epoch prior to the TOR event. The correlations between each eye-movement measure and driver reaction time were examined, and a multiple regression model was built using a stepwise procedure. The results showed that longer reaction time could be significantly predicted by a smaller number of large saccades, a greater number of medium saccades, and lower saccadic velocity. The implications of these relationships are consistent with previous studies. The present real-vehicle study can provide insights to the automotive industry in the search for a safer and more flexible interface between the automated vehicle and the driver.     

Earthquake disaster avoidance learning system using deep learning

The popularity of deep learning has influenced the field of surveillance and human safety. We adopt the advantages of deep learning techniques to recognize potentially harmful objects inside living rooms, offices, and dining rooms during earthquakes. In this study, we propose an educational system to teach earthquake risks using indoor object recognition based on deep learning algorithms. The system is based on the You Look Only Once (YOLO) deployed on our cloud-based server named Earthquake Situation Learning System (ESLS) for the detection of harmful objects associated with risk tags. ESLS is trained on our own indoor images dataset. The user interacts with the ESLS server through video or image files, and the object detection algorithm using YOLO recognizes the indoor objects with associated risk tags. Results show that the service time of ESLS is low enough to serve it to users in 0.8 s on average, including processing and communication times. Furthermore, the accuracy of the harmful object detection is 96% in the general indoor lighting situation. The results show that the proposed ESLS is applicable to real service for teaching the earthquake disaster avoidance.     

Effects of diversity versus segregation on automatic approach and avoidance behavior towards own and other ethnic groups

We present the results of a study in which we measured automatic intergroup behavior and evaluations in ethnic majority and minority group members. We focus our attention on the level of segregation and diversity of immediate life contexts as indicators of outgroup exposure. Specifically, Dutch ethnic minority and majority students enrolled at ethnically segregated and diverse schools completed a measure of automatic approach and avoidance behavior and reported explicit intergroup attitudes. The research is framed into prevailing theories in the field: Social Identity Theory and System Justification Theory. Results of our study suggest that segregation of minority group members' immediate life context may be an important moderator of evaluations as well as approach and avoidance behavior toward ingroup and outgroup. In particular, minority members in segregated schools showed an approach bias towards their ingroup, whereas minority members in diverse schools showed an approach bias towards the majority outgroup.     

孤独让我爱上你:产品陈列对孤独个体产品偏好的影响

研究通过3组实验分析产品陈列方式对孤独个体产品偏好的影响。实验1发现产品合并陈列时,孤独个体偏爱普通产品;产品单独陈列时,孤独个体更喜欢拟人化产品。实验2采用产品的功能关系代替陈列方式,进一步验证主效应。实验3分析广告信息类别对主效应的调节作用。本文为企业合理地使用拟人化策略提供建议。     

用药动作线索诱发海洛因戒断者的镜像神经活动:一项fMRI研究

相关线索能够诱发药物依赖者的心理渴求,而健康人不会对相关线索产生心理渴求。15名海洛因成瘾者和12名没有任何物质滥用的健康被试参与实验,收集了他们在观看相关线索与对照线索时的脑神经活动。结果发现,药物线索能够诱发戒断者更多脑区的活动,包括扣带回和楔前叶。两组被试在对照动作线索刺激诱发作用下,其颞叶、顶叶均出现了较为一致的活动。在用药动作线索诱发作用下,戒断组双侧颞中回、双侧顶下小叶、左侧顶上小叶和右侧额下回显示出显著活动,并且与对照动作线索激活脑区一致;健康组被试除枕叶-颞叶联合区外,没有出现显著的脑区活动。以上结果表明,用药动作线索诱发了海洛因戒断者颞中回、顶下小叶、额下回等镜像神经系统的活动,这些脑区对不同类型的相关线索十分敏感,它们可能通过对用药动作的心理模拟,参与了用药动作线索的快速自动化加工。     

WILLIAM WHEWELL,THE PLURALITY OF WORLDS,AND THE MODERN SOLAR SYSTEM

Astronomers of the first half of the nineteenth century viewed our solar system entirely differently from the way twentieth‐century astronomers viewed it. In the earlier period the dominant image was of a set of planets and moons, both of which kinds of bodies were inhabited by intelligent beings comparable to humans. By the early twentieth century, science had driven these beings from every planet in our system except the Earth, leaving our solar system (and perhaps others) as more or less desolate regions for the most part bereft of intelligent life. This essay traces this extinction and its relation to religious thought, noting the role played in it by Sir John Herschel and especially by William Whewell. The inverse square laws for gravitation, heat radiation, and light receive special attention, as does the question of the relevance of the Christian notions of a divine incarnation and redemption.     

Focusing on the emergencies or on their roots? The role of nonprofit organisations in immigration policymaking in Italy

Religious organisations are a relevant actor in immigration policymaking in Italy; they usually work in networks with institutions and other actors from the nonprofit sector to implement projects and services for migrants. However, the collaboration might lead to disagreement on which is the best way to face social problems related to immigration. In the province of Foggia, the reports on the precarious conditions of migrants employed in agriculture led to the development of a range of activities for improving their status and fighting their exploitation. While an issue network on the receipt and first assistance for migrants has arisen, there is no agreement on deeper interventions between nonprofit organisations (NPOs) which want to provide help for migrants in actual situations of precariousness and NPOs committed to face the causes of these situations. The tension between these two conceptions of nonprofit role in public policies might be divisive inside the religious associationism.     

Public health consequences of road traffic injuries – Estimation of seriously injured persons based on risk for permanent medical impairment

Despite the fact, that Sweden has one of the safest traffic environments in the world, a large number of people are still injured in road traffic accidents in Sweden. The core concept of the Vision Zero that was adopted by the Swedish parliament in 1997 is to decrease the number of deaths and serious injuries caused by traffic. The vision has been followed-up in terms of decreased mortality, but there was not a consensus on how the concept “seriously injured” should be measured at that time. The aim of this paper is to describe how to develop a measure to estimate the number of seriously injured people in Sweden. The results show that it is possible to estimate the health impact of road traffic accidents based on the definition of medical impairment. According to the results, 8389 people were seriously injured (permanently medical impaired more then 1%) in the road transport area in Sweden in 2013. If the number of people who had slipped or fallen down without any vehicle being involved is excluded, the number of seriously injured was around 4700. The result of the study has been included in the road safety goal for Sweden with the aim to have 25% less seriously injured people in 2020 than the average for the years 2006–2008. The results also showed that 91% of the seriously injured were transported by car, bike or by foot. The relatively high proportion of pedestrian fall accidents happening within the transport system irrespective of whether a vehicle was moving or not raises the question whether these types of accidents should be included in the reporting of formal road traffic accidents.     

Explicit or implicit situation awareness? Measuring the situation awareness of train traffic controllers

Previous research on situation awareness (SA) predominantly focused on its explicit, reasoned, conscious features rather than on the implicit, intuitive, unconscious aspects that are often identified with expert operators. This research investigated implicit levels of SA of train traffic controllers (TTCs) in order to contribute to the body of knowledge on rail human factors research and SA. A novel approach was used to uncover levels of implicit SA through a set of three analyses: (1) fairly low SAGAT values with correlations between SAGAT scores and multiple performance indicators; (2) negative correlations between work experience and SAGAT scores; and (3) structurally lower level-1 SA (perception) scores in comparison to level-2 SA (comprehension) scores in accordance with Endsley’s three-level model. Two studies were conducted: A pilot study – which focused on SA measurements with TTCs in a monitoring mode (N = 9) – and the main study, which involved TTCs from another control center (N = 20) and three different disrupted conditions. In the pilot study, SA was measured through the situation-awareness global assessment technique (SAGAT), perceived SA and observed SA, and performance was measured through punctuality and unplanned stops of trains before red signals. In the main study, SA was measured through SAGAT, and perceived SA and multiple performance indicators, such as arrival and departure punctuality and platform consistency, were assessed. In both studies, the set of three analyses showed consistent and persistent indications of the presence of implicit SA. Endsley’s three-level model and related SAGAT method can be constrained by the presence of these intuitive, unconscious processes and inconsistent findings on correlations between SAGAT scores and performance. These findings provide insights into the SA of TTCs in the Netherlands and can support the development of training programs and/or the design of a new traffic management system.