Personality and demographic differences in the perceived risks of potentially timid driving behaviours

Timid driving behaviours can be described as overly cautious and hesitant driving behaviours. Little research has examined behaviours that potentially resemble timid driving and how these behaviours are perceived by other drivers. This is despite the potential for these behaviours to be perceived in a way that leads to angry and aggressive retaliatory behaviours in some drivers (e.g., in anger-prone drivers). We conducted an online survey examining the perceived road safety risks of several behaviours that could potentially result from timid driving and their relationships with driver personality (trait anxiety, trait driving anger), behaviour (anxious driving, angry driving), and demographic (age, gender, annual mileage) background. Drivers (N = 439, M_age = 49.41 ± 5.59 years, aged 18–89) perceived excessively cautious and unpredictable braking behaviours as posing moderate levels of risk. Multiple linear regression analyses also indicated higher perceived risks of slow and excessively cautious behaviours in older, male, and anger prone drivers. No meaningful associations were found between driver characteristics and the risks of unpredictable braking behaviours. These results suggest that safety campaigns to reduce aggressive behaviour may benefit from targeting the perceptions of other drivers’ behaviours.     

Driver performance effects of simultaneous visual and cognitive distraction and adaptation behavior

Driver distraction has become a major concern for transportation safety due to increasing use of infotainment systems in vehicles. To reduce safety risks, it is crucial to understand how fundamental aspects of distracting activities affect driver behavior at different levels of vehicle control. This study used a simulator-based experiment to assess the effects of visual, cognitive and simultaneous distraction on operational (braking, accelerating) and tactical (maneuvering) control of vehicles. Twenty drivers participated in the study and drove in lead-car following or passing scenarios under four distraction conditions: without distraction, with visual distraction, with cognitive distraction, and with simultaneous distraction. Results revealed higher perceived workload for passing than following. Simultaneous distraction was most demanding and also resulted in the greatest steering errors among distraction conditions during both driving tasks. During passing, drivers also appeared to slow down their responses to secondary distraction tasks as workload increased. Visual distraction was associated with more off-road glances (to an in-vehicle device) and resulted in high workload. Longer headway times were also observed under visual distraction, suggesting driver adaptation to the workload. Similarly, cognitive distraction also increased driver workload but this demand did not translate into steering errors as high as for visual distraction. In general, findings indicate that tactical control of a vehicle demands more workload than operational control. Visual and cognitive distractions both increase driver workload, but they influence vehicle control and gaze behavior in different ways.     

The impact of E-bus satisfaction on driving behaviour: A questionnaire-based study on E-bus drivers

The aggressive promotion of electric buses (E-buses) is receiving increasing attention as an important measure to reduce carbon emissions in the transport sector. Electric buses (E-buses) still have some defects, which may reduce driver satisfaction and affect a drivers’ driving behaviour (such as frequent attention to the instrument panel given a lack of energy and overspeeding given the time pressure caused by a lack of energy). In this study, the influencing factors of drivers’ overall satisfaction (perceived usefulness, perceived ease of use, environmental performance, technology acceptance and line environment) were investigated using the bus driver satisfaction questionnaire. The overall satisfaction level was measured directly by the overall satisfaction scale. Aberrant and positive driving behaviours were observed by the professional driver driving behaviour questionnaire. Taking overall satisfaction as the intermediary variable and driving behaviour (aberrant and positive driving behaviours) as the dependent variable, we established the hypothetical relationships among overall satisfaction, driving behaviour, perceived usefulness, perceived ease of use, environmental performance, technology acceptance, and line environment and constructed an E-bus driver driving behaviour structural equation model (SEM). Through an online questionnaire survey, the survey data of 313 E-bus drivers were obtained and verified for analysis. The results show that perceived usefulness, perceived ease of use, environmental performance and technology acceptance have a positive impact on overall satisfaction, and environmental performance has the greatest impact on overall satisfaction; overall satisfaction has a negative impact on aberrant driving behaviour and a positive impact on positive driving behaviour; and the line environment has a positive impact on aberrant driving behaviour. From the driver's point of view, this study plays a positive role in a more comprehensive understanding of the advantages and disadvantages, and the factors restricting the application, of E-buses. Meanwhile, it provides a strong basis for government departments, industry management departments and bus companies to formulate policies (such as E-bus driver training and management strategies).     

Attention all ‘drivers’: You could be to blame,no matter your behaviour or the level of vehicle automation

Vehicle crashes are one of the leading causes of human deaths worldwide, with crashes predominately attributed to failures of human drivers. Whilst increasing vehicle automation is argued to reduce road crashes via decreased driver involvement, automation also raises concerns around driver blame and stakeholder responsibility. This study examines blame for crash scenarios across four different forms of driver distraction behaviours (phone, sleep, work and driving under the influence), and across four levels of vehicle automation (no automation [manual], partially automated, highly automated, fully automated), using a mixed (qualitative and quantitative) methods approach. Participants (n = 205) were randomised into one of the four levels of vehicle automation and were presented with vignette crash scenarios involving a pedestrian being hit by a vehicle. Results revealed that scenarios varying driver behavior at the time of the crash, had no significant impact on participants’ blame attribution or selected course of action. The qualitative analysis revealed that despite semantic distinction between some driver behaviours, drivers were deemed responsible for the crash. As automation increased, attribution of blame towards the driver decreased, but did not disappear. Blame simultaneously increased towards other stakeholders including the manufacturer and the government, as level of automation increased. These findings mirror that of previous research and further highlight the need for legal frameworks for crashes with automated vehicles, irrespective of driver behaviours.     

Modifying driver behaviour with passenger feedback

A feedback programme was employed to help drivers improve their safety behaviour based on the idea that particular types of driver error result from contingency traps as defined by Fuller [Journal of Applied Behaviour Analysis, 24 (1991) 73]. Two drivers and their single respective passengers participated. For each driver, repeated in-car observations were made of four unsafe driving behaviours. Two of these were sequentially targeted in the behavioural intervention that involved the passengers providing informational feedback to their driver. Both drivers showed a marked improvement across the targeted behaviours. The study demonstrated the applicability of behaviour analysis to the traffic domain and the efficacy of individual feedback as a behavioural tool for positive behaviour modification.     

Handing control back to drivers: Exploring the effects of handover procedure during transitions from Highly Automated Driving

The operational capabilities of automated driving features are limited and sometimes require drivers’ intervention through a transition of control. Assistance at an operational level might be extremely beneficial during transitions but the literature lacks evidence on the topic. A simulator study was conducted to investigate the potential impacts that lateral assistance systems might have while the Automated Driving System (ADS) hands back control to the driver. Results showed that drivers benefitted from a strong Lane Keeping Assist during the first phase of the transfer, helping them to keep the lane centre. However, assisting the drivers at an operational level did not enhance their capability of addressing a more complex task, presented as a lane change. In fact, it was more task-specific assistance (Blind-spot assist) that allowed drivers to better cope with the tactical decision that the lane change required. Moreover, longer exposure to lane-keeping assist systems helped them in gaining awareness of the surrounding traffic and improved the way drivers interacted with the Blind-spot assist.     

Moral disengagement mechanisms in interactions of human drivers with autonomous vehicles: Validation of a new scale and relevance with personality,driving style and attitudes

The introduction of autonomous vehicles (AVs) in the road transportation systems raises questions with respect to their interactions with human drivers’, especially during the early stages. Issues such as unfamiliarity or false assumptions regarding the timid and safe behaviour of AVs could potentially result in undesirable human driver behaviours, for instance “testing” AVs or being aggressive towards them. Among other factors, morality has been determined as a source of aggressive driving behaviour. Following previous approaches on moral disengagement, the current paper argues that moral standards during interactions of human drivers with AVs could potentially blur, leading to the disengagement of self-regulation mechanisms of moral behaviour. The study investigates the impact of moral disengagement on the intention of human drivers to be aggressive towards AVs. To that end, an online survey was conducted including a newly developed survey of moral disengagement, adapted to the context of AVs. Moreover, measures of personality, driving style, attitudes towards sharing the road with AVs and perceived threats were collected. A confirmatory factor analysis provided support for the concept of moral disengagement in the context of AVs. Moreover, relationships between personality, driving style and attitudes towards sharing the road with AVs were found, via a structural equation modelling approach (SEM). The results could have implications in the future driver training and education programmes, as it might be necessary to not only focus on driving skills but also on the development of procedural skills that will improve the understanding of AVs’ capabilities and ensure safer interactions. Efforts on improving attitudes towards AVs may also be necessary for improving human driver behaviour.     

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.     

Driver brake vs. steer response to sudden forward collision scenario in manual and automated driving modes

In autonomous vehicle operation, situations may arise when the driver is required to re-engage in manual control of the vehicle. Whether the control handoff from vehicle to human is done in a structured or unstructured manner, the process may be affected by the driver’s state, i.e. distracted or not. The study reported here was designed to measure a non-distracted driver’s response to a sudden forward collision (FC) event, in which the driver would assume manual control of the autonomous vehicle. Three driving scenarios were investigated: autonomous vehicle driven with full collision avoidance support, autonomous vehicle driven without collision avoidance support, and vehicle driven in manual mode.Forty-eight volunteers participated in a simulator study conducted in VIRTTEX. It was found that, at handoff, (1) drivers in manual mode tended to use evasive steering, rather than braking, compared to drivers in both the autonomous modes, (2) between subjects variations in speed were higher for the automation with collision support condition than for the other two scenarios, (3) for both autonomous driving scenarios, drivers reaction times were longer than for manual driving. In some cases the driver response was so late and the distance remaining so reduced that crash avoidance might be unfeasible. At a minimum, results of this study suggest that drivers may benefit from appropriate driver assistance technologies when a crash imminent situation is suddenly encountered.     

A comparison of experienced and novice drivers’ rear-end collision avoidance maneuvers under urgent decelerating events

A leading vehicle’s sudden deceleration can lead to a rear-end collision. Due to a lack of driving experience, novice drivers have a greater tendency to be involved in these accidents. Most previous studies have examined driver response time and braking behaviors, but few researchers have focused on what experienced and novice drivers did after their feet touched the braking pedal and their hands turned the steering wheel. These braking and steering parameters are essential in understanding driver avoidance behavior during emergencies. We programmed rear-end crash risk scenarios to examine experienced and novice drivers’ behaviors thoroughly using a driving simulator. Twenty experienced and twenty five novice subjects participated in our experiments, and their braking and steering maneuvers were recorded when leading vehicles ran at 60 km/h, 80 km/h and 100 km/h. The results showed that the two groups of subjects tended to execute two kinds of maneuvers to avoid crashes: braking only (novice 33%, experienced 19%) and the combination of braking with steering (novice 22%, experienced 26%). When the novice drivers executed braking with steering, their response time and steering duration were significantly longer than those of the experienced drivers who executed braking with steering. As the speed increased, the novice drivers’ response time, maximum braking force and maximum steering angle were significantly affected. These results showed that novice drivers should brake only when the leading vehicle suddenly decelerates. The experienced drivers executed steadier maneuvers. Their risk perception time was shorter, and their maximum braking force and the maximum steering angles were smaller. The response time, braking intensity and steering wheel angle should be considered when developing rear-end collision warning systems.     

Does a prosocial attitude reduce risky driving behaviour under time pressure?

Time pressure could make drivers exhibit more risky driving behaviour. Attitudes can influence people’s behaviours, but few studies have explored the influence of prosocial attitudes on driving behaviour. The purpose of this study was to explore the influence of prosocial attitudes on driving behaviour under time pressure. A 2 (high/low prosocial attitude) *2 (present/no time pressure) mixed design was used to investigate the interaction between prosocial attitude and time pressure on driving behaviour. Prosocial attitudes and time pressure have a significant main effect on driving behaviour. Drivers with high prosocial attitudes made lane changes at a greater distance from pedestrians and decelerated to a greater degree than drivers with low prosocial attitudes when interacting with pedestrians. Under time pressure, people drive faster and accelerate more quickly. Specifically, we found an interaction between time pressure and prosocial attitudes on driving behaviour. Drivers with low prosocial attitudes showed higher speeds than drivers with high prosocial attitudes under the time pressure scenario on foggy roads. The results showed that high prosocial attitudes lead to friendly interactions with pedestrians and careful driving in specific situations, even under time pressure. The present study not only expands the research on driving behaviour and attitude but can also provide some data support and guidance for driver selection and training.     

Professional and non-professional drivers’ stress reactions and risky driving

The aim of the present study was to investigate stress reactions, speeding, number of penalties and accident involvement among different driver groups (taxi drivers, minibus drivers, heavy vehicle drivers, and non-professional drivers). A total number of 234 male drivers participated in the study. The participants were asked to complete the Driver Stress Inventory (DSI) together with a demographic information form. Five dimensions of the DSI were measured; aggression, dislike of driving, hazard monitoring, fatigue proneness, and thrill-seeking. After controlling the effects of age and annual mileage, the results of the ANCOVAs revealed differences between different driver groups in terms of both risky driving behaviours and stress reactions in traffic. Regression analyses indicated that aggression, dislike of driving, and hazard monitoring dimensions of the DSI were related to accident involvement after controlling for the effects of age, annual mileage and driver group. Dislike of driving and thrill-seeking dimensions of the DSI were related to speeding on in-city roads.     

The implications of situation and route familiarity for driver-pedestrian interaction at uncontrolled mid-block crosswalks

Most routine daily trips take place along the same route, a fact that previous studies have not investigated together with the repeated situation of conflicting with other road users. Consequently, our study addresses driver behaviour by separating the driving experience into three categories: (i) drivers unfamiliar with the route, (ii) those route-familiar, and (iii) situation-familiar drivers. The specific case of driver-pedestrian interaction at uncontrolled mid-block crosswalks is investigated. A multi-level factorial experiment including (i) crosswalk design (linear sidewalk and curb extension), (ii) driver familiarity, and (iii) pedestrian time gap acceptance (4, 6, and 8 s) was conducted using a driving simulator. Fifty-two participants were divided into four groups and stratified by age, gender, and driving experience. The minimum instantaneous time to collision, post-encroachment time, maximum car deceleration, and maximum car speed were all used as surrogate safety measures (SSM).Route-familiarity led to higher speed, while situation-familiarity positively affected driving behaviour making drivers more inclined to decrease their speed at circa 100 m before a crosswalk. The curb extension layout enhanced pedestrian safety and mitigated any adverse effects due to familiarity, with a particularly relevant impact on SSM at low accepted time gaps for pedestrians. Situation- and route-familiarity treatment protocols lead to different behaviours among drivers, indicating a clear need to account for these two familiarity levels in experiments on safety-related countermeasures.     

Effects of a driver assistance system with foresighted deceleration control on the driving performance of elderly and younger drivers

It is imperative to enhance the safety of elderly individuals on the roads to ensure the quality of their daily life. Near-miss incidents or accidents at blind intersections often result from a conflict between the behaviors of the driver and of other road users (pedestrians and cyclists). The failure to search for potential conflict in the context of blind intersections is a concern pertaining to road safety. The proposed assistance system performs a proactive braking intervention to achieve a referenced velocity in uncertain situations, such as one in which an unobserved pedestrian might initiate a road crossing. The proactive braking intervention attempts to manage the potential risk of crashing with respect to covert hazards. Because an automated system may impair a human’s ability to perceive and respond to hazardous situations while driving, this study was designed to examine the effects of proactive braking intervention and visual support cues on elderly and younger drivers’ ability to respond to information about potentially hazardous situations. We conducted a public-road driving experiment involving 108 elderly and younger drivers from two non-overlapping age groups. It was observed that the vehicle slowdown realized through the proactive braking intervention enabled the drivers to perform safety confirmation near blind spots and caused them to be more sensitive to and wary of potential hazards. This approach could be effective not only for elderly drivers, but also for young or inexperienced ones.     

Metacognition,rumination and road rage: An examination of driver anger progression and expression in Australia

Road rage is a serious issue impacting road safety on Australian roads. This study investigated the psychological antecedents involved in aggressive driver behaviours. Specifically, the study investigated the relationships between metacognitive beliefs, anger rumination, trait driver anger, and driver aggression; and examined the extent of aggressive behaviours in a sample of Australian drivers (N = 246). An inspection of cross-tabulations indicated that nearly all drivers engaged in verbal driver aggression (94%), approximately half of the drivers engaged in vehicle aggression (53%), and approximately a quarter of the drivers engaged in physical aggression (27%). Driver aggression was more commonly reported from males, open licensed, and middle-aged drivers. Structural path analysis indicated that there was a hierarchical series of relationships present, in that metacognitive beliefs influenced cognitive constructs such as anger rumination and constructive expression. Additionally, such factors were shown to more prominently influence trait driver anger, and the degree to which it was expressed. Bivariate correlations also demonstrated that the relationships carried forward to more specific dimensions of anger rumination and driver aggression styles. The findings of this study may assist to identify the origins of psychological mechanisms involved with anger progression and expression and inform potential interventions for aggressive driving behaviours.     

Driver speeding typologies by roadway behaviours and beliefs: A latent class analysis with a multistate sample of U.S. adults

Speeding has consistently contributed to a high number of motor vehicle crashes and subsequent injuries and deaths in the U.S. Identifying types of drivers related to speeding behaviour may help target interventions to reduce speeding. Typology of U.S. driver speeders have examined very specifically speeding behaviours and speeding-related attitudes. This exploratory work used latent class analysis (LCA) to examine how other driving behaviours and attitudes cluster around speeding behaviours to determine speeder typologies, which may lend a more holistic perspective to speeder types. Predicted class assignments were evaluated for associations with demographic and personality factors. The LCA resulted in four driver typologies, which we labelled: Externally Motivated (40.7%), Non-Reactors (26.2%), Perceived Invulnerable (24.3%), and Perceived Vulnerable (8.9%). The Externally Motivated and Non-Reactors typologies had the highest probability of reporting extreme speeding. The Externally Motivated may be intervened upon with messaging about reducing risks crashes and injuring passengers, while the Perceived Vulnerable class already exhibit several risk-averse behaviours that self-limits their speeding behaviour. Class placement was associated with age, self-reported speeding frequency, receipt of speeding violations. The resulting U.S. driver typologies advances the literature by demonstrating that non-speeding driver behaviours and attitudes cluster with speeding behaviours, which altogether can inform more nuanced and effective anti-speeding campaigns.     

Effects of the cross-section on the driver’s behaviour approaching bicycle crossroads

This paper reports on the results of field surveys conducted at the approaching section of two bicycle crossroads in urban environment. The crossing roads are characterised by different cross-sections (one-lane and two-lane configurations) having a same marking scheme. The aim of the surveys was to evaluate the effectiveness of the specific marking scheme for the two different cross-sections and to provide relevant insight to improve the cyclist safety, based on the observed drivers’ behaviours. More specifically, the data analysis was aimed at: (i) studying the yielding behaviour of the drivers on the two bicycle configurations and evaluating the effects of the observed vehicle dynamics constraints in approaching phases; (ii) analysing drivers’ braking during the interaction with cyclist; (iii) defining a logistic regression model for predicting the drivers’ likelihood of yielding as a function of the variables describing his behaviour and the cross-section configurations. Results have stressed out a more critical driver yielding behaviour and braking performance when approaching the bicycle crossroad on the two-lane configuration. The logistic regression model have pointed out the cross-section variable to have the strongest effect on the logit of drivers yielding, determining a significant reduction of the likelihood of yielding if the interaction driver-cyclist occurs in the two-lane configuration. Overall, the obtained outcomes highlight a higher risk exposure of the cyclist crossing the two-lane configuration. The obtained outcomes imply that the same marking scheme on the two different cross-section configurations is inappropriate. It fails to induce proper driver behaviour when he/she approaches the bicycle crossing on the two-lane configuration in order to limit the cyclist's risk exposure to the values observed on the one-lane configuration. Eventually, several measures and recommendations have been defined to reduce the risk conditions identified in two-lane configuration.     

The self-reported driving behaviour of young drivers in Lithuania: An application of the behaviour of young novice drivers scale – Lithuania (BYNDS-Li)

BackgroundWith just one year left in the Decade of Action for Road Safety, it is timely nations reflect on their progress in the realm of improving road safety more generally, and in young driver road safety specifically given the pernicious problem that is young driver risky driving behaviour and road crashes. Effective intervention requires a fundamental foundation of understanding the nature of the problem. Therefore the current study explored the self-reported risky driving behaviour of young drivers in Lithuania, a nation classified as a developed country as recently as 2015.MethodThe self-report Behaviour of Young Novice Drivers Scale (BYNDS, 1) was applied in a sample of 457 Lithuanian young drivers aged 18–24 years, after a rigorous forward-backward translation process.ResultsSeven factors (risky exposure, transient rule violations, driver misjudgements, driver mood, vehicle overcrowding, personal seatbelt use, substance consumption) explained 65.2% of the variance in self-reported risky driving behaviour as measured by the BYNDS-Li. The most common risky driving behaviours included driving in excess of posted speed limits, and driving at high risk times such as at night and on weekends.Discussion and implicationsThe seven-factor structure of the BYNDS-Li supports arguments that culturally-valid measures should be operationalised in jurisdictions other than those in which they were developed (in the case of the BYNDS, Queensland, Australia). Moreover, systems thinking argues that interventions and efforts must be multi-sectoral and collaborative interventions. In the case of young driver road safety, these should be framed within the 4E’s of education, engineering, enforcement, and engagement.     

Sexual behaviours among dyadic vehicle occupants

Sexual activity while driving is a risky behaviour frequently found across media. However, much is unknown about the practices and roles that dyadic occupants of vehicles (i.e. a driver and passenger) perform when engaging in sexual activity while driving. To cover this gap, a content analysis of sexually explicit media (SEM) was conducted on a sample of 208 videos taken from Pornhub.com. The videos portrayed a naturalistic driving situation of a driver of a moving vehicle engaging in sexual activity with a passenger. Videos were coded for sexual behaviours and characteristics of the vehicle occupants (gender and role). Drivers were generally male, while passengers were female. A range of sexual activities while driving were coded, including oral sex, unclothed and clothed masturbation, varying levels of nudity, and ejaculation. Drivers appear to be the focus of sexual attention, as they are generally the ones receiving sexual acts from the passenger, and predominantly ejaculating. Additionally, female passengers perform oral sex on drivers more often than male passengers, and female vehicle occupants tend to have greater levels of nudist exposure than males. This study highlights the complexities of sexual activity while driving and patterns for consideration when developing interventions.     

Cognitive biases in aggressive drivers: Does illusion of control drive us off the road?

Anger has been shown to be a motivating factor in aggression and it is widely accepted that driving anger may lead to aggressive driving. However, the link between anger and aggressive driving is likely to be mediated by drivers’ pre-existing cognitive biases and the subsequent situational evaluations made. This study investigated the extent to which optimism bias, illusion of control beliefs and driver anger predict self-reported hostile driving behaviours. A total of 220 licensed drivers (106 men; 114 women) completed a self-report questionnaire measuring trait driving anger, optimism bias, illusion of control and driving behaviour. Structural Equation Modelling showed that trait driving anger and illusion of control beliefs account for 37% of the variance in hostile driving behaviour scores. Optimism biases were unrelated to hostile driving behaviours. Thus, driving anger propensities and feelings of control over the situation, but not a general tendency to underestimate the likelihood of adverse outcomes, predict aggressive driving.