Two studies of psychiatric morbidity among motor vehicle accident survivors 1 year after the crash

We assessed the psychiatric co-morbidity associated with chronic posttraumatic stress disorder (PTSD) (1-2 years) secondary to personal injury motor vehicle accidents (MVAs) in two studies. In Study 1, we compared the results of SCID assessments for 75 treatment-seeking MVA survivors (51 with PTSD and 24 with symptoms but no PTSD). In Study 2, we compared similar results among 132 MVA survivors who had been followed prospectively for 12+ months after their accidents (19 with PTSD, 32 who had PTSD but who had remitted, and 81 who never met criteria for PTSD). We found comparable levels of current co-morbid major depression (53%), any mood disorder (62-68%), generalized anxiety disorder (26%) and any anxiety disorder (42%) for both groups of participants with chronic PTSD. These rates of co-morbidity were higher than those found in non-PTSD comparison groups with similar MVA histories.     

A structural equation modeling approach for the acceptance of driverless automated shuttles based on constructs from the Unified Theory of Acceptance and Use of Technology and the Diffusion of Innovation Theory

The present study investigated the attitudes and acceptance of automated shuttles in public transport among 340 individuals physically experiencing the automated shuttle ‘Emily’ from Easymile in a mixed traffic environment on the semi-public EUREF (Europäisches Energieforum) campus in Berlin. Automated vehicle acceptance was modelled as a function of the Unified Theory of Acceptance and Use of Technology (UTAUT) constructs performance expectancy, effort expectancy, social influence, and facilitating conditions, the Diffusion of Innovation Theory (DIT) constructs compatibility and trialability, as well as trust and automated shuttle sharing. The results show that after adding the DIT constructs, automated shuttle sharing, and trust to the model, the effect of performance expectancy on behavioural intention was no longer significant. Instead, compatibility with current travel was the strongest predictor of behavioural intention to use automated shuttles. It was further found that individuals who are willing to share rides in an automated shuttle with fellow travelers (i.e., automated shuttle sharing) and who trust automated shuttles (i.e., trust) are more likely to intend to use automated shuttles (i.e., behavioural intention). The highest mean rating was obtained for believing that automated shuttles are easy to use, while the lowest mean rating was obtained for feeling safe inside the automated shuttle without any type of supervision. The analysis revealed a preference for the supervision of the automated shuttle via an external control room to the supervision by a human steward onboard. We recommend future research to investigate the hypothesis that compatibility could serve as an even stronger predictor of the behavioural intention to use automated shuttles in public transport than performance expectancy.     

Validation of the F-DBQ: A short (and accurate) risky driving behavior questionnaire for long-haul professional drivers

Although the Driving Behavior Questionnaire (DBQ) remains the most known tool for assessing risky road behaviors among motor vehicle drivers, recent studies have raised several concerns on the specificity of both driving task conditions and behavioral repertory of certain segments of the driving population. Among them, long-haul (cargo) professional drivers constitute one of the “intensive driving” groups for which the existing adapted behavioral research tools are still very scarce.PurposeThe aim of the present study was to test and validate the F-DBQ (or “Freight Driving Behavior Questionnaire”), a short version of the DBQ adapted to the occupational driving conditions and typical road risk behaviors of freight drivers.MethodFor this cross-sectional study, a sample of n = 982 Spanish long-haul drivers with a mean age of 48.5 years was used, responding to a questionnaire composed of measures on road risk behaviors (DBQ), fatigue (Checklist Individual Strength – CIS and Need for Recovery Scale – NFR) and job stress (Effort–Reward Imbalance questionnaire – ERI).ResultsThrough competitive Confirmatory Factor Analyses (CFA) with structural equation models, it was found that the F-DBQ has a clear dimensional structure, a fair goodness-of-fit, high factorial weights, internal consistency, convergent and discriminant validity and an improved fit to long haul drivers’ working conditions. Also, both (general and work-related) fatigue and job stress have shown to have a significant role in explaining risky road behaviors of long-haul drivers.ConclusionThe findings of this study support that an abbreviated version of the Driving Behavior Questionnaire (the F-DBQ) can be used to assess traffic violations and errors among long-haul drivers, in consideration of their specific task-related conditions (that qualitatively differ from other groups of drivers), with potential implications on the enforcement of occupational and road safety research.     

An exploratory investigation into the self-regulatory processes influencing drug driving: Are young drivers more externally regulated?

An upward trend in drug driving has been observed in several countries around the world. Research suggests that younger drivers are more likely to engage in drug driving compared to older drivers. There is also evidence to suggest young drivers differ from older drivers in their capacity for self-regulation. Despite this, research has yet to explore the impact of age on the self-regulatory processes with regard to decisions to drug drive among drug users. A total of 507 Queensland drivers (72.8% female), who reported ever taking an illegal drug, were involved in the research. Participants completed an online questionnaire, which collected demographic and drug consumption information, as well as items assessing the self-regulatory processes influencing drug driving, and drug driving behaviour. Regardless of age, participants reported a tendency towards internalised regulation. However, results suggest that young drivers (aged 18–24 years) feel greater belongingness to people who promote safe transport decisions after taking drugs, compared to drivers aged 25 years and over. Interaction effects revealed that for young drug takers, feeling greater relatedness, along with perceiving competence and importance in planning alternative transport after taking drugs, can be protective against drug driving behaviours. Significant predictors of drug driving were lower relatedness, greater perceived pressure to drug drive, lower effort/importance to plan safe alternatives after taking drugs, being of older age, and greater drug abuse. Counterintuitively, perceiving more options (choice) to take alternative transport after taking drugs also predicted the offending behaviour. The results of this study suggest that enhancing drivers’ competency to make (and value) safe driving decisions is a critical step for road safety.     

Effectiveness of risk awareness perception training in dynamic simulator scenarios involving salient distractors

The Risk Awareness Perception Training (RAPT) has been shown to improve latent hazard anticipation in young drivers. However, previous evaluation scenarios in a driving simulator often lacked either dynamic road environment features or control for such variations. The current study investigated whether the effectiveness of RAPT persists even in the presence of dynamic and salient distractors. Twenty RAPT-trained drivers and twenty-one Placebo-trained young drivers (aged 18–21) drove through eight simulated driving scenarios with latent hazards. A pedestrian avatar served as a distractor and was placed across from the latent hazard location. In half of the scenarios, the pedestrian remained static while in the other half the pedestrian started to move, without potential interference with the driver’s travelling path, as the drivers approached the latent hazard. Consistent with previous research, RAPT-trained drivers demonstrated better latent hazard anticipation performance than Placebo-trained drivers regardless of dynamic movement of the pedestrian avatar. Additionally, RAPT-trained drivers adopted wider scanning patterns and fixated more frequently on both the latent hazard and the pedestrian compared to Placebo-trained drivers. The results imply that RAPT may protect drivers from being distracted by dynamic stimuli and allow them to scan safety–critical areas containing latent hazards. Furthermore, RAPT may not only improve tactical hazard anticipation skills, but also modal hazard anticipation skills in young drivers.     

On the way to autonomous driving: How age influences the acceptance of driver assistance systems

Driver assistance systems have the potential to create the basis for future mobility solutions. They enable older generations in need of assistance to maintain their mobility even in the case of physical deficits. Therefore, we conducted a literature review and identified factors that may influence the acceptance of driver assistance systems. Based on the technology acceptance model and other influencing factors, we developed a research model that was validated with the help of a study (n = 227). The results show that, depending on age, there are differences in the acceptance of driver assistance systems and their influencing factors among old and young people. The five determinants of acceptance, perceived usefulness, perceived ease of use and trust in technology are viewed as equally important for all age groups. Differences emerge within the group of older vehicle drivers with varying weighting. For the 50–59 age group, perceived ease of use and social norm are most important, while for the 60–69 age group, perceived usefulness and trust in technology are very important. Among 70–90-year olds, trust in technology is emphasized as most important. Our results show how important it is to increase the confidence of older drivers in age-appropriate driver assistance systems, using target-group-specific advertising and public relations work.     

Complex and underreported? A study into the prevalence of suicide by motor vehicle in the state of Queensland

While suicide is recognised as one of the leading causes of death in Australia, it is often presumed that fatal road crashes are primarily accidental in nature. However, international research has indicated that deliberate attempts at self-harm while driving may account for between 1.1% and 7.4% of road crashes. Despite the personal and financial costs associated with such events, few studies have examined the extent of motor vehicle suicides (MVS) or the circumstances surrounding such incidents in Australia. Given this, the current study reviewed coronial, police and toxicology findings of 762 motor vehicle fatalities in Queensland (Australia) during the period 2011 to 2015 to determine the frequency of confirmed cases and explore the prevalence (and characteristics) of possible MVS that remain undetected. In total, 22 confirmed cases were identified, and such events shared significant similarities with 14 possible events, including evidence of recent emotional upset, adversity and mental health diagnoses. In contrast, differences between the groups were limited to confirmed cases being more likely to involve males and contain a suicide note or evidence of past suicidality, while possible cases were more likely to involve a multiple vehicle impact with a truck. Importantly, crucial information regarding the deceased’s psychological state and life circumstances (e.g., psychological autopsy) was not reported in many cases. Corresponding qualitative analysis of the coroners final determination (between the two groups) revealed the occurrence of the word suicide to occur seven times (31.8%) among confirmed cases and five times (35.7%) for possible casers. Furthermore, the coroners final determination of intent to suicide was open or undetermined in six of the possible cases (43%), which further suggests a reluctance (or procedural uncertainty) to categorically identify MVS. The paper further reviews the main findings, illuminates core challenges associated with identifying MVS and proposes a need for future investigations to incorporate a more standardised and evidence-based approach in order to effectively identify such events.     

Cognitive and personality determinants of safe driving performance in professional drivers

Large truck and bus crashes still cause a high rate of fatalities and costs. Considering that the human factor plays an important role it is obvious that there is great interest in predicting safe driving performance in professional drivers, especially with new technologies emerging to assist drivers. This study uses a modern theoretical framework to assess which psychometric tests are still able to predict safe driving performance in today’s professional drivers under these new circumstances.126 male professional bus drivers completed a standardized digital test battery and three driving exercises. The test battery was used to assess reaction time, concentration, ability to gain an overview, reactive stress tolerance, logical reasoning, and safety-related personality traits. The exercises consisted of an on-road driving test, an obstacle course, and a maneuvering course.The study yielded satisfactory indicators of criterion related validity. It also showed that different tests were relevant for the prediction of safe driving performance in different driving exercises. Contrary to previous research, logical reasoning showed significant effects. The results indicate that in order to assess safe driving performance in professional drivers, a comprehensive assessment with psychometric tests should be recommended.     

Difficulties experienced by older drivers during their regular driving and their expectations towards Advanced Driving Aid Systems and vehicle automation

The aim of this study was to analyse the difficulties experienced by older drivers during their regular driving, and to identify their needs and their expectations regarding Advanced Driving Aid Systems (ADAS) and vehicle automation. More than 100 items were investigated by using a Focus Group method based on a Collective Questionnaire (named FoG-CoQS). Thirty elderly drivers, 15 females and 15 males aged from 70 to 81 years (mean age of 73.3; S.D. = 3.18) were recruited among a representative sample of 76 older drivers living in the Rhône area and having previously participated to an on-road experiment, in order to collect from this Focus Group method further information about the driving difficulties they experienced in their everyday life and their expectations towards driving aids. Seven main topics were more particularly investigated, recovering at last all the main dimensions of the driving task (from navigation to speed control, through intersection crossing).Regarding driving difficulties, one of the most interesting result collected is the high contrast between the literature review, identifying Left Turn (LT) manoeuvres at crossroads as a risky driving situation for elderly drivers, and the relatively low values of perceived difficulties (i.e. compared to other driving sub-tasks) collected during this Focus Group among our sample of older drivers. Regarding the driving aid functions investigated, 10 of them obtained high scores of “perceived utility” (i.e. overpassing 60% on scales ranging from 0% [no utility] to 100% [high utility]), and they concerned assistances liable to support all the main components of the driving task investigated in this study.Additional results are related to the differences between the elderly female and male drivers. Several driving situations were assessed as significantly more difficult to perform by the older female than by the older male drivers, like intersection crossing, entering expressways, or implementing a lane change manoeuver. By contrast, this gender effect is more limited regarding driving aids: synthetically, men and women have a positive attitude towards driving aid systems and their expectations for future ADAS are quite similar (for instance, “informative systems” are preferred than driving aids based on “vehicle automation”).Finally, from two transversal items (i.e. “difficulties” to perform a driving sub-task and “perceived utility” of ADAS), it was possible to rank older drivers’ difficulties experienced during their everyday life (from lowest difficulties to “navigate on a familiar itinerary” to highest when “interacting with bicyclists”) and their expectations towards driving aids (from lowest utility score given to “Automatic Lane Change systems” to highest utility value provided to “Speed Informer systems”). At last, older drivers’ acceptance and expectations towards highly automated cars was also investigated: full automation was assessed as an interesting solution to ensure the self-mobility of elderly peoples in their circle, but also for themselves in the future, in case of impairments of their own cognitive or physical capacities.     

Road safety education for older drivers: Evaluation of a classroom-based training initiative

Around the world, a growing proportion of drivers are aged 70 or over. Although accident rates for older drivers are lower than for young or novice drivers, increased frailty and slowed reactions mean that older drivers are at higher risk of death or serious injury when involved in a road collision. The objectives of this study were to: (a) identify driving knowledge and self-regulatory strategies among a group of older drivers with a view to planning future on-road training; (b) measure driver self-assessments of ability and confidence before and after classroom training delivered by driving instructors; (c) evaluate the utility and acceptability of training courses for older drivers using questionnaires and focus groups; d) examine the characteristics of course participants.142 drivers aged ≥75 completed a two-hour classroom-based driving course and took part in the evaluation: 94 aged 75–79, 48 aged ≥80, 68% male. Main reasons for taking part were to update knowledge, improve driving and check they were safe to drive. Results showed that females were more likely than males to avoid driving in difficult conditions (at night, in bad weather, unfamiliar roads). More drivers aged 75–79 said they did not restrict their driving (52, 57%) compared to drivers aged ≥80 (19, 43%). Pre-course, males rated their driving confidence and ability significantly higher than females. Post-course, self-ratings of confidence and ability were unchanged for 76 (60%) drivers. However, two-thirds reported improved knowledge and 80% said they would change their driving behaviour as a result of the course. Focus group results suggest that competent drivers are more likely to attend educational courses than unsafe drivers. This study provides preliminary evidence that classroom-based training can initiate behaviour change among older drivers. Future research will examine the effectiveness of on-road training in this age group.