A Survey on Driving in Clients With Mental Health Disorders

Few studies have explored driving issues in adult mental health. In this pilot study, 48 drivers were compared to 24 participants who had ceased driving, on their clinical and driving characteristics. Driving-related services offered to them were also documented. Participants who had stopped driving were more likely to be in-patients on antipsychotic or several medications. A third of the participants reported negative effects of their illness and/or medications on driving. Psychiatrists and occupational therapists offered assessments and recommendations related to fitness to drive to 30% of their clients using complementary approaches. This survey indicates that few drivers with mental health disorders receive driving-related services. More evidence-based practice guidelines are needed.     

Using an Advance Time Meter display as means to reduce driving speed

ObjectiveTesting an experimental means to reduce motivation to drive fast.BackgroundOne determinant of that motivation may be a wrong presumption, demonstrated here: Time to reach destination declines about linearly to increase in driving speed. Actually, that time is a linear function of advance time, the inverse of speed. It is hypothesized that the behavioral by-product of the popularity of that fallacy could be counteracted by introducing an essential change to the speed-based continuous feedback provided to the driver – from a speedometer displaying instantaneous velocity to a gauge reporting advance time (denoted ATM), so that both average driving speed and speed variance are reduced.MethodIn two driving simulator experiments, driving speed of participants presented with either of the two types of gauge was recorded.ResultsThe main finding is that driving with feedback provided by an ATM gauge following prior briefing led to a significant reduction – ∼11 km/h – in mean speed, as well as to a significant reduction in between-driver speed variability, as compared with driving with an ordinary speedometer. It was also found that no significant difference was observed in the speeding behavior of participants driving with an ATM display for three ∼2-h sessions administered in three different days, so that the last session took place within seven days from the first one.ConclusionThe ATM gauge serves to reduce motivation to speed.ApplicationWidespread use of the ATM gauge may result in reduction in number and intensity of accidents.     

Predicting pedestrians’ intention to cross the road in front of automated vehicles in risky situations

Due to the absence of a human driver, the introduction of fully automated vehicles (FAVs) may bring new safety challenges to the traffic system, especially when FAVs interact with vulnerable road users such as pedestrians. To ensure safer interactions between pedestrians and FAVs, this questionnaire-based study aims to understand Australian pedestrians’ intention to engage in risky road-crossing behaviors when they interact with FAVs vs. human-driven vehicles (HDVs). A 2 × 2 between-subject design was utilized, in which two risky road-crossing scenarios were designed and took into account the vehicle type (FAV vs. HDV) and vehicle speed (30 km/h vs. 50 km/h). A total of 493 participants (aged 18–77) were randomly assigned to one of the four experimental conditions and completed an online questionnaire based on the extended Theory of Planned Behavior (TPB). This questionnaire measured pedestrians’ intentions to cross the road in the assigned scenarios as well as the motivational factors behind these intentions in terms of attitude, subjective norm, perceived behavioral control, perceived risk and trust in the vehicle. The results show that pedestrians had significantly higher intentions to cross the road in front of approaching FAVs than HDVs. Participants also reported a lower risk perception of crossing in front of FAVs and greater trust in this type of vehicle. Attitude, subjective norm, and perceived behavioral control were significant predictors of intentions to engage in risky road-crossing behavior. Findings of this study provide important implications for the development and implementation of FAVs in the future road transport system.     

Implicit theories in driving: Scale development,validation, and predictive role on violations and driving self-efficacy

Implicit theories focus on how ability may be perceived by individuals. There are two main beliefs: entity beliefs (i.e., driving ability is a gift) and incremental beliefs (i.e., driving ability is improvable through effort). Implicit theories have been studied in various domains (e.g., education, sport), but never in driving, even though they could improve the knowledge of drivers’ psychological characteristics. The first objective of the present study was to develop and validate a questionnaire measuring implicit theories in driving. The second objective was to assess the predictive role of implicit theories on violations and driving self-efficacy, and the moderating role of gender. In study 1, confirmatory factor analysis, analyses of gender invariance, and concurrent validity were assessed to validate the questionnaire named Implicit Theories in Driving Questionnaire (ITDQ). In study 2, the predictive role of implicit theories on violations and driving self-efficacy was evaluated using multiple regression analyses. Moderation analyses evaluated the moderating role of gender on the relationships between implicit theories and violations, along with driving self-efficacy. The ITDQ showed acceptable psychometric properties. The results highlighted that entity beliefs positively predicted aggressive violations and negatively predicted driving self-efficacy. Conversely, incremental beliefs negatively predicted ordinary violations and positively predicted driving self-efficacy. The ITDQ is a valid scale now available for assessing implicit theories in driving, that have been shown to influence self-reported driving behavior. Future research on implicit theories in driving may help to better understand the psychological characteristics of at-risk drivers and improve driver’s training, to reduce the number of road accidents.     

Teenage bicyclists' perceptions toward automated vehicles and their associated traffic infrastructure: A focus group discussion

Automated vehicles (AVs) can improve traffic safety for vulnerable road-users like bicyclists. It is most likely that current young people will be the ones to use these vehicles and interact with them. However, very few studies have focused on bicyclist-AV interaction, with little to no inclusion of teenage bicyclists. This research used a virtual focus group study with 25 teenage bicyclists in six groups. Participants were presented with potential designs of infrastructures and communicating interfaces, they discussed pros and cons for each design, and answered multiple surveys. Overall, teenage bicyclists showed positive perceptions toward AVs. They preferred spacious lanes for bicyclists and physical barriers separating AVs and bicyclists. Teenagers chose visual interfaces with familiar icons; nevertheless, they recommended both visual and audible interfaces to ensure bicyclists’ attention and address the need of visually and audibly impaired populations. Future researchers and stakeholders will be benefited from the methodology and outcomes of this research.     

Experiences of older adults interacting with a shared autonomous vehicle and recommendations for future implementation

IntroductionA recognised potential benefit of autonomous vehicles is increased mobility for older adults. However, this group is more apprehensive about adoption, which may hinder uptake. Shared autonomous vehicles (SAVs) represent a use case that may be especially relevant for older people due to emerging applications in retirement villages and similar precincts. However, little research has examined the SAV-related concerns of older adults and strategies to address them. This study used an exploratory approach involving SAV exposure to identify strategies that may increase older people’s receptiveness to SAVs.MethodOlder adults living in retirement villages (n = 63) were interviewed while interacting with an SAV to examine their needs, expectations, and concerns regarding SAVs. The interview data were coded and thematically analysed.ResultsParticipants recommended the following approaches to ensuring SAVs are useful and acceptable to older adults: providing physical accessibility for those with mobility impairments, comfortable and practical internal layouts, and operating SAVs on convenient routes at useful speeds. Strategies such as exposing older adults to SAVs in operation to encourage uptake and initially ensuring a human assistant is present were suggested methods of increasing receptivity.DiscussionThe findings suggest older passengers are likely to share many of the same reactions to SAVs as the broader population, but with a stronger focus on issues relating to accessibility and the physical layout of the vehicles. The solutions to these issues suggested by the study participants may be useful for those designing SAVs for use in older people’s settings and beyond.     

Driving distraction at night: The impact of cell phone use on driving behaviors among young drivers

Currently, young drivers are more likely than other drivers to use cell phones while driving at night, which has become a major cause of road crashes. However, limited attention has been given to distracted nighttime driving. Therefore, the aim of this study was to explore the interaction effect of cell phone use and time of day (daytime and nighttime) on young drivers’ car-following performance. Forty-three young drivers engaged in a driving simulator experiment with a within-subject design that included three distractions (no distraction, talking and texting on a cell phone) and two times of day. This paper applied non-parametric tests to analyze the data and obtained the following results: (1) the standard deviation of lane position (SDLP) did not significantly differ at either time of day under no distraction, but it was significantly higher at night on straight roads and large-radius curves after introducing distractions. In addition, participants drove faster and gave less headway on small-radius curves under both distractions at night; (2) texting significantly increased the SDLP, while there was less lateral variation during the talking tasks than under no distraction on simple road sections; and (3) compared with the experienced drivers, the novice drivers drove faster during the talking tasks on small-radius curves, but there was no significant difference between groups during the texting tasks. These findings provide both theoretical and practical implications for related policy makers to enhance traffic safety.     

Is all high-risk behaviour premeditated? A qualitative exploratory approach to the self-regulation of habitual and risky driving behaviours

The majority of research surrounding the intervention of risky driving behaviours has operated on the notion that offending behaviour is intentional, leading to a defined theoretical approach on deterrence. This study aimed to investigate the motivations, regulatory behaviours and resisting beliefs that contribute to the occurrence of risky driving behaviours, from the perspective that some behaviour may be unintentional and habitual by nature. An online sample of Australian drivers (N = 46) were recruited to complete a qualitative phone interview regarding their perceptions of risky driving behaviours. Thematic analysis revealed that firstly, speeding and the use of technology while driving (i.e., distraction) were the most commonly reported risky driving habits. Speeding in particular appeared to be both habitual and unintentional, whereas phone use while driving was attributable to addiction, impulses and attitudes. Factors such as drivers’ mentality, the automaticity of the behaviour, and social norms were perceived to make habitual behaviours more difficult to change, whilst personal experiences with legal and physical consequences were perceived to increase risk perceptions and promote behavioural change. Participants also reported using cognitive reframing strategies and behaviours to increase and maintain awareness of the behaviours. Overall, this study has highlighted the resistant and multi-dimensional nature of risky driving habits, as well as the situational factors that preclude them. Based on the findings, future research may benefit by focusing efforts to understanding how habituality fits in the broader deterrence literature, and how such behaviours can be best intervened.     

An analysis of factors affecting wrong-way driving at a highway entrance using a driving simulator among older drivers with cognitive decline

About 200 highway wrong-way driving cases occur annually in Japan, of which about 70% are caused by older drivers. The number of these cases has remained consistent despite adoption of full-fledged measures against wrong-way driving, thus demonstrating the need for further measures. Reports indicate that older drivers include those with cognitive decline. Moreover, it has been revealed that drivers over 75 years of age who caused wrong-way driving had lower test scores in the usual cognitive function tests performed at the time of licence renewal. However, there is no clear evidence on the relationship between cognitive decline and driving behaviour that stimulates wrong-way driving. In this paper, we reproduced a wrong-way driving approaching a right turn to an expressway exit in a virtual environment using a driving simulator for older drivers, including those with mild cognitive impairment (MCI). In addition to the measurement of driving behaviour and eye-tracking during simulator driving, we conducted a cognitive function test to investigate the relationship between driving behaviour and visual behaviour factors that initiate reverse running and cognitive decline. The results revealed that the reason for the start of a highway wrong-way driving may be a human error at the recognition stage of overlooking a visual wrong-way driving countermeasure, or a human error at the judgement stage of failing to suppress action despite noticing the visual countermeasure. Additionally, attentional and executive functions were related to the wrong-way initiative, although MCI did not affect it. This suggests that those who could not control their wrong-way driving behaviour despite observing the signs had specific executive function deficits.     

Use of Level 1 and 2 driving automation on horizontal curves on interstates and freeways

Little is known about how the actual use of Level 1 and 2 driving automation systems may be affected by geometric road characteristics in naturalistic driving environments. This study examined the use of these systems on horizontal curves on interstates and freeways. It used travel data collected in a field operational test conducted with two 2016 Land Rover Range Rover Evoque vehicles equipped with adaptive cruise control (ACC) and two 2017 Volvo S90 vehicles equipped with ACC and Pilot Assist (PA). Logistic regression models estimated changes in the likelihood of ACC use associated with horizontal curvature in the Evoque vehicles, and of PA and ACC use in the S90 vehicles, while accounting for traffic conditions. Drivers were less likely to drive with ACC or PA on as horizontal curves became sharper. In the Evoque vehicles, the likelihood of using ACC was 71.6% lower on the sharpest category of horizontal curves (those with a degree of curvature>2.5 degrees per 100 feet of arc or a radius smaller than 2,292 feet), compared with straight road segments or the flattest horizontal curve category (those with a degree of curvature <= 1.5 degrees per 100 feet of arc or a radius no <3,820 feet). In the S90 vehicles, the likelihood of using PA and ACC declined 74.6 and 66.3%, respectively, on the sharpest curves. Many driving automation systems face challenges on horizontal curves, even within their operational design domain. Future implementations that improve functionality may enhance driver experience and boost drivers’ confidence in these systems, which should increase their use and maximize the safety benefits these systems might offer.