Does traffic congestion increase driver aggression?

In his recent article about aggressive driving, David Shinar proposed that the classical frustration-aggression hypothesis (Dollard, J., Doob, L., Miller, N., Mowrer, O. & Sears, R. (1939). Frustration and aggression. New Haven, CN: Yale University Press) provides a useful tool for understanding driver aggression (Shinar, D. (1998). Aggressive driving: the contribution of the drivers and situation. Transportation Research Part F, 1, 137–160). According to Shinar's (1998) application of the frustration–aggression hypothesis, driver aggression is caused by frustration because of traffic congestion and delays. In the present study, the relationships between exposure to congestion (rush-hour driving) and aggressive violations (DBQ) were investigated in Great Britain, Finland and the Netherlands. Partial correlations showed that the frequency of rush-hour driving did not correlate statistically significantly with driver aggression. Correlations between driving during rush-hour and aggression did not differ in magnitude from those between driving on country roads and aggressive violations. In addition, correlations between exposure to congestion and aggressive violations in countries with large number of vehicles per road kilometre (UK, Netherlands) were not higher than those in a sparsely populated country (Finland). These results from three countries suggest that congestion does not increase driver aggression as directly as suggested by Shinar (1998).     

空间主方位判断的训练和方位效应

以20名区域管制员和20名大学生为被试,通过两种类型的空间主方位判断任务考察训练效应和方位效应。结果表明：管制员主方位判断的绩效(正确率和判断反应时)显着优于学生．拍摄方向朝北和目标刺激在上-下轴位置时,主方位判断的绩效显著优于其他条件。研究提示,训练能够有效地提高空间主方位判断的绩效,主方位判断存在朝北的方位效应和上-下轴位置效应。     

卡车驾驶员视觉选择性注意研究

采用注意力测验量表,对２８０名男性卡车驾驶员的视觉选择性注意进行了测量。研究发现：事故组与安全组卡车驾驶员的完成时间、漏划数和平均每秒正确删数有很显著差异,错划数有显著差异;事故多发组与安全组卡车驾驶员的完成时间和平均每秒删数有很显著差异,错划数有显著差异;年龄对卡车驾驶员的视觉选择性注意有显著影响,随着年龄的增加,卡车驾驶员完成视觉选择性注意作业的时间增长,漏划数和错划数增多,平均每秒正确删数减少,而４０－５０岁则是卡车驾驶员视觉选择性注意速度和准确性下降的转折点。     

自由飞行下冲突告警对管制员冲突探测绩效的影响

自由飞行是未来空中交通管理系统的设计理念, 会影响管制员的飞行冲突探测绩效, 为其提供自动化的冲突告警是主要的应对思路。已有研究主要围绕冲突告警的通道类型、可靠性、提前呈现时间等单一属性展开, 发现冲突告警的通道类型、可靠性对管制员冲突探测绩效的影响与传统的自动化研究结果存在不一致之处。指出未来在实验中纳入冲突化解任务, 进行冲突告警多属性的整合研究, 有助于解释这些不一致之处、为冲突告警的设计提供更有效的指导。     

选择性注意对行人觉察有声信号灯的影响

为考察选择性注意如何影响行人整合交通信号中的多感觉加工优势,研究采用线索—靶子范式,操控交通信号类型(视觉/传统视觉信号灯、听觉、视听觉/有声信号灯)和信号呈现位置(线索化位置、非线索化位置)两个变量,分析被试对视觉、听觉、视听觉三类刺激的反应时和正确率,并通过对相对多感觉反应增强值(rMRE)和竞争模型(race model)的计算,对多感觉加工优势效应进行量化。结果发现:有声信号灯能够产生多感觉加工优势,选择性注意会减弱有声信号灯的多感觉加工优势。该研究结果为有声信号灯的设置提供了理论依据,且提示应当避免在环境中设置容易引起行人选择性注意的设施。     

Safety at first sight? – Manual drivers’ experience and driving behavior at first contact with Level 3 vehicles in mixed traffic on the highway

Soon, manual drivers will interact with conditionally automated vehicles (CAVs; SAE Level 3) in a mixed traffic on highways. As of yet, it is largely unclear how manual drivers will perceive and react to this new type of vehicle. In a driving simulator study with N = 51 participants aged 20 to 71 years (22 female), we examined the experience and driving behavior of manual drivers at first contact with Level 3 vehicles in four realistic driving scenarios (highway entry, overtaking, merging, introduction of a speed limit) that Level 3 vehicles may handle alone once their operational domain extends beyond driving in congested traffic. We also investigated the effect of an external marking via a visual external human–machine interface (eHMI), with participants being randomly assigned to one of three experimental groups (none, correct, incorrect marking). Participants experienced each driving scenario four times, twice with a human-driven vehicle (HDV), and twice with a CAV. After each interaction, participants rated perceived driving mode of the target vehicle as well as perceived safety and comfort. Minimum time headways between participants and target vehicles served as an indicator of safety criticality in the interactions. Results showed manual driver can distinguish CAVs from HDVs based on behavioral differences. In all driving scenarios, participants rated interactions with CAVs at least as safe as interactions with HDVs. The driving data analysis showed that manual driver interactions with CAVs were largely uncritical. However, the CAVs’ strict rule-compliance led to short time headways of following manual drivers in some cases. The eHMI used in this study neither affected the subjective ratings of the manual drivers nor their driving behavior in mixed traffic. Thus, the results do not support the use of eHMIs on the highway, at least not for the eHMI design used in this study.     

Understanding the immediate aftereffects of road traffic crashes in Argentina: The role of injury

The current paper reports a field study of 132 Argentinian individuals who experienced a road traffic crash (RTC), focusing on the role of physical injury in the early aftermath of the crash. Three groups of participants were studied: 1) individuals who were <1 month post-RTC who were not injured (<1 mo, Not Injured, n = 89), 2) individuals who were <1 month post-RTC who were injured (<1 mo, Injured, n = 15), and 3) individuals who were 1–3 months post-RTC who were injured (1–3 mo, Injured, n = 28). Examination of PTSD symptoms indicated that with several exceptions, most PTSD symptoms were endorsed at higher levels by the two injured groups, relative to the not injured group. Consideration of post-RTC cognitive and interpersonal factors indicated that the two injured groups reported lower self-efficacy and higher levels of rumination, relative to the Not Injured group. Additionally, the 1–3 mo Injured group reported being more socially isolated, relative to the two other groups. Results are discussed in light of related literature, with elaboration of potential public health interventions designed to target injured survivors of RTCs.     

Kinesthetic Aftereffects and Individual Differences in Carryover effects

There is disagreement among researchers about the distinction between dynamic and static spatial performance. Given that dynamic spatial performance is supposed to be important for some occupations, such as air traffic control (ATC), it is germane to have evidence about the likelihood of that distinction. In the present study, a battery of printed static spatial and reasoning tests were applied to 480 applicants for an ATC training course. Two dynamic spatial tests were also applied. Confirmatory factor analyses were performed for testing three models. In Model A, static and dynamic spatial tests were grouped, whereas in Model B, spatial tests were separated according to their static or dynamic character, and in Model C, spatial tests were segregated according to the construct they tapped (visualization or spatial relations). The authors found that Model B, which distinguished static and dynamic spatial tests, showed the best fit. They also discuss some implications of the findings.     

Factors influencing drivers’ reading and comprehension of on-board traffic messages

IntroductionWhen variable message signs (VMS) or on-board traffic information systems are used, it is essential that while driving, motorists read and understand the information as soon as possible in order to make appropriate decisions to increase road safety and/or facilitate traffic flow. Thus, it is important to investigate the factors that may increase fast reading and comprehension of on-board traffic information.ObjectivesWe examined the influence of the type of message (warnings vs. recommendations), location of the pictogram (top or bottom of the text), type of display device (IPhone, Blackberry, or Tablet) and its position (horizontal or vertical) on drivers’ fast reading and comprehension of on-board messages provided via in-vehicle system. Moreover, we were interested in drivers’ acceptability of in-vehicle system.MethodForty-nine drivers (M_Men = 32, 19–65 years) participated to a reading and comprehension task while travelling on a desktop driving simulator. Participants were exposed to two series of 11 traffic messages displayed on one of the three devices. Reading and comprehension times were measured (= milliseconds) for each message. At the end, they had to fill in a questionnaire on their beliefs about on-board traffic messages and in-vehicle system.ResultsDrivers expressed a positive attitude toward on-board traffic messages and in-vehicle system. Reading and comprehension times were of approximately 4 seconds and were longer for warnings as compared to recommendations. The pictogram placed at the top of the text, the tablet and the vertical display device facilitated fast reading and comprehension.     

Dynamic traffic management on a familiar road: Failing to detect changes in variable speed limits

Variable speed limits (VSL) are used more commonly around the globe lately. Although on a macroscopic level positive effects of VSLs have been reported, the caveat is that the impact of VSLs is very sensitive to the level of driver compliance. Thus far it is unknown whether all individual drivers are actually able to notice when a speed limit changes into another speed limit; a prerequisite for purposeful speed limit compliance in the first place. To simulate regular driving conditions, twenty-four participants were familiarised with a particular route by driving the same route in a driving simulator nineteen times on five separate days. Part of the route consisted of a motorway where VSL signs were regularly displayed above every driving lane. At drive nineteen, speed limits changed from 80 km/h to 100 km/h on four out of eight consecutive signs. After passing all signs, one expects 6.25% of the participants still to be unaware that the speed limit had increased (based on chance), while the results showed most participants had failed to notice the speed limit change (58.3%). Instead, they saw what they expected to see: a speed limit of 80 km/h. If the speed change had been vice versa, in other words from 100 km/h to 80 km/h, this would immediately result in speed offences, though not deliberately at all.