Associations between self-reported mindfulness,driving anger and aggressive driving

Anger and aggression on the roads is associated with how drivers evaluate the driving situation and the behaviour of other drivers. Consequently, both can be exacerbated when these evaluations are made superficially and/or when drivers have pre-existing negative schemas regarding certain types of road situations or users. Mindfulness is likely to have negative associations with anger and aggression because it promotes opposing appraisals. That is, it encourages emotion-regulation and involves acceptance of, but not reaction to, the current situation. To examine these associations, a total of 309 drivers responded to an online questionnaire assessing mindfulness, driving anger and aggressive driving. The results showed that mindfulness shared negative relationships with driving anger and self-reported aggressive driving. However, when these relationships were examined simultaneously using Structural Equation Modelling, mindfulness was found to relate only to anger and this, in turn, predicted aggressive driving. Further analysis showed that driving anger mediates the relationship between mindfulness and aggressive driving. These results suggest that mindfulness training may provide a promising intervention for drivers prone to driving anger and subsequent aggression.     

An illumination robust road detection method based on color names and geometric information

Road detection is a basic task in automated driving field. In existing methods, detecting lane marks is a frequently used approach. However, road marks could fade with time, or even do not exist on some roads. Considering these factors, road region segmentation from background is much more reliable. One of the difficulties in this area is dealing with variant illumination conditions. Existing methods make some progress on reducing the influence of shadows, but they are still not satisfactory. Taking this into account, we put forward an improved shadow-free road detecting method based on color names, whose performance exceeds the existing methods. In addition, to further improving our performance on application, we adopt vanishing point detection and fuse two confidence maps to reduce the interference of sidewalk regions. Experiments on KITTI dataset depict that the proposed method is efficient. Moreover, the improved road detection method has low-complexity, which meets the requirement of practical usage.     

Ergonomic Design Improves Cross-Cultural Road Sign Comprehension

BackgroundTraffic sign design can have a substantial impact on road safety and traffic flow. The current study had three objectives: 1) Cross-validate the importance of ergonomic sign design; 2) Evaluate the ability of ergonomics experts to predict sign comprehension by the average driver; 3) Offer improved sign designs for poorly designed road signs. In a previous study (Ben Bassat et al., 2019), human factors and ergonomics experts evaluated several alternative designs for 31 different road signs, based on three ergonomics criteria – familiarity, standardization, and message/symbol compatibility. Some of these signs were tested in the current study and the correlation between the results of the two studies was analyzed.MethodIn this study, 805 licensed drivers from five countries were tested on their comprehension of 24 conventional signs and 32 alternative signs. Signs were individually presented on a screen and as soon as the participant decided on the meaning, the sign disappeared, and an experimenter wrote the stated meaning. The verbal responses were coded as correct (perfectly or partially), wrong, or opposite of the true meaning. Sign identification response time was also recorded.ResultsIn all countries across all signs, more drivers comprehended the alternative ergonomically superior signs, and the identification response times were shorter for these sign designs. Furthermore, the correlation between ergonomics experts' ratings as found in previous study and the percent of comprehension for each sign design was statistically significant and positive with r = 0.61.ConclusionsRoad signs should be designed according to ergonomics-based criteria. Human factors experts' opinions can be a useful tool in improving the design of poorly comprehended signs (or icons) and in designing new signs (or icons).     

Acceptance of visual and audio interventions for distracted pedestrians

Distraction from mobile devices increases pedestrian risks at intersections. Innovative interventions are currently installed at road and rail intersections to alert pedestrians. These interventions will be effective only if pedestrians modify their behaviour. The Technology Acceptance Model (TAM) posits that behaviour changes as a result of behavioural intention, which is affected by perceived usefulness and perceived ease of use. However, the link between intention and actual behaviour is often overlooked. The current study aims to investigate this link and apply this theoretical framework to interventions for distracted pedestrians. We conducted a day-time field study at three railway level crossings in New Zealand with such interventions reminding pedestrians to look for trains: in-ground flashing lights located at footpath level, an audio warning message, and in-ground flashing lights combined with the audio warning message. Participants (N = 34, Mean age 33.6, SD = 8.6 years) walked through level crossings while performing a distractor task (visual and auditory distraction) or when not distracted. Actively checking for trains from both sides of the crossing was used as a measure of actual behaviour. All three interventions were perceived as useful (5.1 ± 0.4) and easy to use (5.6 ± 0.2) and resulted in positive intention to use the technology (5.8 ± 0.3). Statistical analyses confirmed that the TAM constructs - particularly perceived usefulness - affected intention, and intentions lead to behavioural change with improved crossing behaviours. This study highlights the importance of perceived usefulness and intentions to use the interventions with reducing distracted pedestrian behaviours.     

Car-following behavioural adaptation when driving next to automated vehicles on a dedicated lane on motorways: A driving simulator study in the Netherlands

Automated vehicles (AVs) are expected to improve traffic flow efficiency and safety. The deployment of AVs on motorways is expected to be the first step in their implementation. One of the main concerns is how human drivers will interact with AVs. Dedicating specific lanes to AVs have been suggested as a possible solution. However, there is still a lack of evidence-based research on the consequence of dedicated lanes for AVs on human drivers’ behavior. To bridge this research gap, a driving simulator experiment was conducted to investigate the behavior of human drivers exposed to different road design configurations of dedicated lanes on motorways. The experiment sample consisted of 34 (13 female) licensed drivers in the age range of 20–30. A repeated measures ANOVA was applied, which revealed that the type of separation between the dedicated lane and the other lanes has a significant influence on the behavior of human drivers driving in the proximity of AV platoons. Human drivers maintained a significantly lower time headway (THW) when driving in the proximity of a continuous access dedicated lane as compared to a limited-access dedicated lane with a guardrail separation for AV platoons. A similar result was found for the limited-access dedicated lane in comparison to the limited-access dedicated lane with guardrail separation. Moreover, the results regarding the empirical relationships between THW and sociodemographic variables indicate a significant THW difference between males and females as well as a significant inverse relationship between THW and the years of driving experience.     

Drink driving during the COVID-19 pandemic

Due to the COVID-19 pandemic, static roadside random breath testing (RBT) was temporarily suspended between 16 March and 12 June 2020 in Queensland, Australia. In addition to restrictions on travel and social interactions, this provided a unique opportunity to examine changes in drink-driving behaviour during and after a reduction in RBT operations in the community. Three cross-sectional surveys were disseminated at different time points to examine these differences. Over three surveys, 1193 Queensland licensed drivers aged 18 years and over (M = 36.9, SD = 16.7) responded. While overall drink driving decreased over the three survey periods, there were groups where drink driving, or the intention to drink drive, increased over the same period. The overall decrease could be expected as a result of community restrictions on socialising and travel behaviours. In each of the surveys, prior engagement in drink driving was the strongest predictor of intention to increase future engagement and actual engagement. These drink drivers were more likely aged 18–24 years, male, and held restricted licensure. Notably, a small number of participants who reported drink driving, and/or intention to drink drive during the survey period, reported not having engaged in this behaviour previously. This suggested an increased likelihood of drink drivers experiencing punishment avoidance which may promote future engagement in this behaviour. Despite a decrease in social opportunities to drink, and the suspension of highly visible roadside breath testing sites, drink driving persisted. This research highlights the importance of RBTs as a general deterrent for drink driving.     

“Pédaler en toute sécurité”: The Cycling Behavior Questionnaire (CBQ) in Belgium – A validation study

Introduction: During the last few years, the use of behavioral questionnaires for assessing risky behaviors of road users different from motor-vehicle drivers has grown considerably in applied research for road safety. In this regard, recent tools such as the Cycling Behavior Questionnaire (CBQ) are gaining ground, being adapted and tested in further languages, thus getting useful to address the case of countries whose language is different to the English and Spanish. Therefore, and in order to extend the use of the CBQ, this study aimed (i) to develop the validation of the CBQ to the French and Dutch languages, in order to cover the population of Belgian cyclists and (potentially) other countries speaking these languages, as well as (ii) to explore demographic and cycling-related differences in cycling behaviors. Methods: For this cross-sectional study, data was collected from a full sample of 1,897 adult cyclists (50.9% males; 48.7% females; 0.4% others) from various regions of Belgium, with a mean age of 41.71 years. Results: The results suggest the CBQ, in its French and Dutch versions, has a strong factor composition, fair psychometrical properties and good convergent validity. Further, gender and cycling pattern-related differences were found in regard to the three dimensions measured by the scale. Conclusion: The results of this study support the value of the Cycling Behavior Questionnaire to be used for researchers studying road cyclists’ behavior from the human factors perspective in French and Dutch-speaking countries.     

Aggressive driving: Do driving overconfidence and aggressive thoughts behind the wheel,drive professionals off the road?

Aggressive driving has emerged as one of the most studied behaviors in the traffic psychology context due to its association with odds of motor vehicle crashes (MVCs) and especially fatal ones. Nevertheless, behavioral (aggression) and affective (anger) aspects of aggressive driving have been deeply studied; its cognitive part hasn’t gained much attention; However, its role in understanding the process of aggression and designing interventions couldn’t be neglected. This research investigated the contribution of overconfidence (as the driver’s cognitive bias), aggressive thoughts, driver’s aggression, and risk perception in driver’s performance and the number of self-reported active accidents. The unique contribution of this study is its sample of urban bus drivers that have less been studied to date. Structural equation modeling (SEM), and mediation analysis revealed that overconfidence contributes to aggressive driving through aggressive thoughts behind the wheel. Moreover, overconfidence decreased the risk perception and driving performance of individuals, which were associated with a higher number of driver’s accidents. Besides, aggressive thoughts behind the wheel predicted physically aggressive expression and using the vehicle to express anger, which were associated with a decreased level of driving performance and an increased number of accidents. This study brings further evidence, supporting the importance of cognition in understanding and preventing aggressive driving and its adverse outcomes.     

How fast would you (or should you) drive here? Investigation of relationships between official speed limit,perceived speed limit,and preferred speed

Speed is a critical risk factor, which makes its management the central point of the Vision Zero approach. Driving speed is influenced by speed choice, and in turn by the perception of the road parameters, as well as by the characteristics of drivers. Credible speed limits and self-explaining roads have been suggested as promising countermeasures; however, these rather theoretical concepts have only rarely been operationalized and quantified.The aim of this study was to investigate the relationships between speed indicators (official speed limit, perceived speed limit, preferred speed), as well as their differences, and to determine which road and personality characteristics influence them. Compared to previous studies, we introduced several innovative features, including a richer personality dataset based on three different questionnaires, a focus on all three types of roads (urban, rural, transition), and representative data on observed speeds.Using statistical models of the speed indicators, we found that both speed limit belief and speed choice, as well as their differences, are often influenced by the same characteristics. These are mainly more generous road design (higher road class, higher speed limit, and wider road) and the presence of additional elements (vegetation, pavements, and pedestrian crossings). These characteristics may help improve the credibility of speed limits and self-explaining performance.