Driving locus of control and driving behaviors: Inducing change through driver training

Locus of control perceptions have been used to predict driving safety as a stable, dispositional variable. Based on social learning theory, this study tested whether a defensive driving training program coupled with observer feedback could influence domain-specific locus of control beliefs regarding controllability of accidents and therefore impact driving behaviors. Over a 5-week period, 112 individuals’ driving locus of control and driving behaviors were assessed two times, before and after a defensive driving training program and observer feedback. Drivers experienced significant changes in their driving locus of control perceptions. Specifically, drivers reported significantly lower externality and higher internality after training as compared to before training. The changes in driving locus of control predicted an increase in safe driving behaviors. In addition, pretraining motivation to learn predicted a decrease in externality, whereas pretraining self-efficacy predicted the increase in internality. The results indicate that driving locus of control can be influenced by training and observer feedback, and the changes in driving locus of control can predict change in driving behaviors. Findings of the study point to the potential for organizations to enhance driving safety by influencing drivers’ locus of control perceptions.     

Using physiological and behavioral measurements in a picture-based road hazard perception experiment to classify risky and safe drivers

Every year, a considerable number of people got injured or even lost their lives in road traffic accidents. To decrease the number of fatalities and injuries, researchers are seeking methods to identify and restrain drivers before the happening of actual traffic accidents, who possess dangerous driving behaviors and may cause road traffic accidents. Such methods are usually exploited to decide drivers’ fitness to drive—an indicator to describe whether they are fit for driving. The aim of this study is to measure drivers’ physiological and behavioral responses to road hazards and to extract features from measurements for further classification of risky and safe drivers. 42 drivers participated in a picture-based road hazard perception experiment, where electroencephalography (EEG), electrodermal activity (EDA), behavioral responses to road hazards, multidimensional driving style inventory (MDSI) questionnaire, and demographic information were recorded. Results indicated that 5 specific physiological features regarding to road hazard perception showed significant differences between risky and safe drivers. Subsequently, participants were classified into risky or safe drivers group by applying only the 5 features. 81.82% and 77.78% accuracy of classification were attained for risky and safe drivers, respectively. It was evidenced that using physiological and behavioral responses to evaluate drivers’ road hazard perception might be utilized as a tool to measure drivers’ fitness to drive. For further studies, improvements to future experiment design were discussed.     

Bias in older adults’ driving self-assessments: The role of personality

A convenience sample of 50 older drivers (M_age = 73.14, SD = 4.85) completed the Myers-Briggs Type Indicator® (MBTI®) Step III™ instrument and rated their own driving abilities (compared to all other drivers, same age drivers, and their own driving 20 years prior) and their ability to perform 68 specific driving-related behaviors. Each subject’s driving performance was also evaluated in a comprehensive on-road assessment conducted by a certified driving rehabilitation specialist, who rated the same 68 driving behaviors as well as driving performance. Drivers identified by the MBTI Step III instrument as Extraverted, Sensing, and (above median) Confident rated their driving significantly more favorably than Introverts, Intuitives, and below median Confidence drivers. Step III Sufficiency scales were associated with on-road performance: drivers with scores indicating low Confidence, low Stamina, or critical high levels of Compensatory Strain received significantly lower evaluations. Drivers with a Sensing preference or critical Strain score rated their driving significantly more favorably than evaluators did. These findings present preliminary evidence for the utility of personality assessments in identifying self-serving bias in driving self-evaluations, essential for safe self-regulation of driving.     

Analyzing driver's response to the yellow onset at signalized intersections

Intersections are critical points within the highway system at which the risk of crashes increases. This study seeks to better understand drivers’ behavior at an intersection by examining the relationship between their observed driving behavior, psychological attributes and decision to proceed through an intersection. A driving simulator and self-report questionnaire were used to understand driver decision-making at the onset of the yellow phase across several signalized intersections. The simulator measured driving outcomes such as speed, braking, and throttle as drivers cross through four increasingly difficult intersections. The questionnaires measured demographics, psychological traits including mindfulness and impulsiveness along with self-reported driving behaviors. A total of 102 participants completed the questionnaire as well as the driving simulator experiment. Hierarchical clustering served to classify drivers into four groups on the basis of their observed driving in the simulator: the safest drivers, safe drivers, speed demons, and aggressive drivers. These driving styles moderated the relationship between the drivers’ psychological traits and their decision to stop or proceed at each intersection. Results showed that mindfulness was highly related to the safest drivers’ decision to stop at the first intersection, while impulsiveness and anxiety were related to the speed demons’ decision to stop at the third intersection. These findings lay a strong foundation for developing progressive educational campaigns incorporating driver psychology in their methodology. Findings also provide support for research linking driving performance and psychological traits with implications for intersection design.     

A new driver behavior model to create realistic urban traffic environment

This paper presents a new driver behavior model, which emulates various driving styles (i.e. behaviors) for different categories of drivers. The model was highly parametric and was developed based on a two-layer Hierarchical Concurrent State Machines (HCSM) programming framework. Our study has been specifically oriented to create a realistic urban traffic environment with hazardous situations typical of real life in a driving simulator, and let the novice drivers to practice in a safe environment. In our study, we used TRAFIKENT driving simulator as a test-bed. Experiments and evaluations demonstrated satisfactory results in terms of behavioral validity of our model.     

Acceptance of and engagement in risky driving behaviors by teenagers

Data gathered from 1,430 teenage student drivers and 880 teenage traffic violators were used to examine the levels of exposure to risky driving behaviors and perceptions concerning the level of danger of such behaviors. For student drivers, 55% reported exposure to risky driving by being in a car with a driver engaging in such activities as drunk driving, drag racing, and reckless driving. For the traffic violators, 43% had been engaged in one or more of the risky driving behaviors. Teenagers who had been exposed to risky driving practices were more accepting of risky driving behaviors.     

Mild functional decline and driving performance of older drivers without a diagnosed dementia: Study of leukoaraiosis and cognitive function

Motor vehicle collisions involving older drivers have increased and become an important social issue. It is known that the decline of cognitive function, including dementia, affects driving performance. A series of studies using the Mini-Mental State Examination (MMSE) and other tests of dementia have attempted to prevent motor vehicle collisions by identifying as early as possible older drivers who may be unable to maintain their driving performance. Further, the performance of older drivers may deteriorate even if they do not have a diagnosis of dementia. Therefore we focused on the relationship between cognitive functioning assessed by the MMSE and diagnosis of leukoaraiosis (LA), or changes in the cerebral white matter, with different aspects of driving behavior resulting from aging. Qualified driving instructors evaluated participants’ driving behaviors on an outdoor driving course at a driving school. Visual search duration and angle at intersections were obtained by wearable wireless sensors. Vehicle speed and minimum vehicle speed were recorded from vehicle speed pulse signals. Duration of signaling and visual searches at unsignalized intersections were recorded using an in-vehicle camera. We assessed instructors’ evaluations and the scores on two instruments to evaluate the effects of MMSE scores and the grade of LA on driving performance were verified. The results suggest that lower MMSE scores and higher LA grade can predict some aspects of poor driving performance in older drivers before they experience dementia or an evident decline in cognitive functioning. Based on these results, we discuss countermeasures that may prevent motor vehicle collisions involving older drivers.     

Can prosocial attitude reduce the risk behavior in simulated driving?

High traffic density may lead to more traffic accidents because of more frequent lane change and overtaking behaviors, but drivers with different characteristics may exhibit different driving behaviors. The present study explored the difference in driving behaviors between drivers with a high/low prosocial attitude under high/low traffic density. In this study, a 2 (high/low prosocial attitude) *2 (high/low traffic density) mixed design was used to investigate the interaction between prosocial attitude and traffic density on lane change and overtaking behavior. The implicit association test paradigm was used to measure prosocial attitude, and drivers were divided into two groups. Forty subjects were asked to complete simulated driving tasks under the two conditions of high and low traffic density, and driving behaviors were recorded by driving simulators. The results show that high traffic density leads to more lane change and overtaking behavior. Drivers with a high prosocial attitude have better driving performance under both high and low traffic density, but drivers with a low prosocial attitude maintain a smaller transverse distance from adjacent vehicles in high traffic density, which may increase risk. This study provides support for the selection, training and intervention of professional drivers.     

Investigating the influence of time pressure on overtaking maneuvers and crash risk

The research conducted on overtaking maneuver for evaluating drivers’ safety showed adverse effects of urgency on driving performance and decision making. Therefore, a driving simulator study was designed to examine driving performance of the drivers and its implication on overtaking and crash probabilities under increasing time pressure conditions. Eighty-eight participants data were analyzed in the current study. Three different time pressure conditions: No Time Pressure (NTP), Low Time Pressure (LTP), and High Time Pressure (HTP) were considered for analyzing driving performance of the drivers while executing overtaking maneuvers. The driving performance was assessed using minimum time-to-line crossing and coefficient of variation in speed to dissect the safety margin adopted by the drivers while overtaking the lead vehicle. Further, minimum time-to-line crossing and coefficient of variation in speed were considered as explanatory variables to investigate their influence on overtaking and crash probabilities. Parametric survival analysis and Generalized Linear Mixed Models (GLMM) were used to assess the driving performance, overtaking and crash probabilities. The parametric survival analysis showed that minimum time-to-line crossing reduced by 36.7% and 63.8% in LTP and HTP driving conditions, respectively. The GLMM results revealed that coefficient of variation in speed increased by 3.437% in HTP (no significant effect in LTP) as compared to NTP driving conditions. Further, the GLMM results showed that overtaking and crash probabilities decreased with increment in minimum time-to-line crossing and coefficient of variation in speed values. Additionally, it was observed that male drivers took risky decisions than female drivers. Nevertheless, the comparative analysis revealed that male drivers were less prone to crashes than female drivers. Overall, it can be inferred that the drivers take risky decisions with increment in time pressure to complete the driving task, even at the expense of their own safety which exposed them to high likelihood of crashes.     

Attitudes and behaviors associated with young drivers’ texting and app use

IntroductionDistracted driving is a major risk factor for motor vehicle crashes, especially for young drivers. This study examines factors that contribute to the exposure of young drivers to distracted driving behaviors.MethodsData from the 2015 National Survey on Distracted Driving Attitudes and Behaviors was used to determine the influence that perceived safety, likelihood to do or say something, social norms, and demographic variables have on self-reported cell phone distracted driving. Our population included 16–24-year old drivers. Dependent variables were texting (reading and sending a text/email) and smartphone app use while driving. Rao-Scott chi-squared tests and multivariate logistic regression models were applied. Sampling weights were applied to create nationally representative estimates and all statistical tests accounted for complex survey design.ResultsAmong young drivers who report cell phone use while driving, 42% reported reading a text, 33% reported sending a text, and 23% reported smartphone app use. Multivariate regression results showed that perceived safety had the strongest association with reporting texting and smartphone app use while driving. In addition, social norms and age-education were significantly associated with reporting sending a text/email and reading a text/email while driving, respectively.ConclusionsThe current study found significant relationships between attitudes and behaviors about cell phone use while driving and self-reported engagement in distracted driving.Practical applicationsInterventions with an emphasis on changing perceived safety and social norms for young drivers could be beneficial for reducing engagement in cell phone use while driving.     

The role of preference in speed choice

Individual differences with regard to speed preference may be a source of speed heterogeneity and conflicts in traffic, such as tailgating and dangerous overtaking. The main aim of the current study was to explore drivers’ speed preferences when driving for different reasons (saving money on fuel, driving safely, driving for fun or driving as usual) and the relationship of these preferences to observed speeds and self-reported speed. 193 drivers were interviewed at five different locations, and were asked about their speeds on roads they had just travelled. Drivers’ speeds on these roads were also sampled with a speed gun. The results showed large differences between speeds chosen for different driving purposes; the lowest speeds were chosen when the goal was economy and the highest when driving for fun. In addition, there were individual differences in speed preferences such that some drivers indicated that their usual speed was above what they believed was a safe speed while others indicated that they usually drove even slower than what they thought was safe. These differences may account for much of the speed heterogeneity observed in on-road behaviour. The results also showed that drivers’ speed choices are highly influenced by their usual speeds, even more so than their beliefs regarding what constitutes a safe speed, which may help explain non-compliance with speed limits. No relationship was found between speed choice and risk perception.     

Personality factors are associated with simulated driving outcomes across the driving lifespan

Research has shown that personality factors are related to driving safety. However, the majority of existing studies rely on self-report measures of driving behaviour and sample drivers from limited age ranges. This study sought to examine the relationship between personality and objective driving outcomes as assessed by a driving simulator in a sample of young, mid-aged, and older adults. A total of 114 active drivers completed personality questionnaires as well as a simulated driving assessment protocol. The results showed that: (1) Extraversion and neuroticism were significantly associated with driving simulator performance; (2) conscientiousness was significantly associated with driving performance among middle-aged adults; (3) sensation seeking was an important personality factor primarily for young drivers and was positively correlated with driving speed in the simulator. These results provide further support for the link between personality factors and driving performance, and suggest certain directions for future research.     

The effectiveness of a brief psychological intervention on court-referred and self-referred aggressive drivers

This study tested the efficacy of a cognitive-behavioral psychological intervention (CBT) targeting aggressive driving behaviors within both a court-referred (N=20) and a self-referred community (N=8) sample as compared to a symptom monitoring (SM) only control condition. Treatment outcome was assessed through the use of daily driving diaries, standard psychological tests, and a global rating of change scale. The CBT treatment condition improved more than the SM condition as assessed through the daily driving diaries. Although the court-referred and self-referred samples showed equivalent improvement on the driving diaries, the self-referred group improved more on measures of general anger. Standardized measures of driving anger, state anxiety and measures of general anger indicated significant change in the expected direction. Aggressive drivers who met criteria for Intermittent Explosive Disorder (IED) showed a trend to improve less than non-IED aggressive drivers. Treatment gains were maintained at the 2-month follow-up point.     

Training interventions are only effective on careful drivers,not careless drivers

Drivers aged 16–24 are overrepresented in fatal crashes compared to middle-aged, more experienced drivers. This age-related difference in crash rates partly arises from younger drivers’ poorer performance on three cognitive skills known to be related to crash involvement: hazard anticipation, hazard mitigation and attention maintenance. Training programs have been shown effective at improving these skills within a short period of time. However, young drivers are not homogenous and they have different driving styles. The driving styles can interact with driving skills by influencing both their acquisition and, once acquired, their execution. A study was undertaken on a driving simulator to determine whether the effectiveness of an already existing training program aimed at improving the three above mentioned skills is moderated by driving style. In particular, drivers were classified as either careful or careless drivers based both on their scores on measures designed to evaluate two general traits relevant to discriminating between careful and careless drivers (sensation seeking and aggressiveness) as well as on their scores designed to evaluate driving specific behaviors that discriminate between careful and careless drivers (aggressive driving behaviors and driving violations and errors). It was found that training improved the hazard anticipation and attention maintenance performance of only the careful drivers, not the careless drivers.     

Examining U.S. drivers’ characteristics in relation to how frequently they engage in speeding on freeways

Speeding and speed-related crashes have consistently represented over 25% of all traffic fatalities over the past two decades. The severity of these speed-related incidents not only impact the drivers but all road users. Thus, characterizing drivers who speed, understanding their motivations, and identifying the types of risky driving behaviors associated with speeding play a critical role in developing, implementing, and sustaining effective countermeasures. Using a survey administered to a U.S. nationally representative sample (N = 2,930 licensed drivers aged 16 or older), this study develops a partial proportional odds model to examine differences in characteristics between types of speeders – frequent, occasional, and non-speeders – and explores characteristics and risk driving behaviors that are most associated with speeding behavior. Additionally, motivations for speeding are examined for drivers who frequently speed compared with those who occasionally speed. Results show speeders tended to engage in other unsafe driving behaviors, such as distracted, aggressive, unbelted, and alcohol-impaired driving. Among demographic and socio-economic variables examined in this study, drivers’ age was the greatest associated determinant. The association with engagement in red-light running, however, outweighed that with drivers’ age. Interestingly, the interaction between educational attainment and engagement in aggressive driving was also predictive of speeding behavior. For motivations for speeding, frequent speeders were more likely to report enjoying driving fast and disagreeing with speed limits compared with occasional speeders. The findings of this study are useful towards identifying the various characteristics and behaviors of drivers who engage in speeding, which can provide future insights into where effective countermeasures and prevention efforts should be focused.     

事故多发驾驶员与安全驾驶员反应时的比较研究

本文对18名事故多发卡车驾驶员和18名安全卡车驾驶员的视觉、听觉简单反应时、选择反应时以及决策时间进行了比较研究.结果表明事故多发组卡车驾驶员的视觉、听觉简单反应时比安全组卡车驾驶员长,但差异不显著;事故多发组卡车驾驶员的视觉、听觉选择反应时与决策时间都比安全组卡车驾驶员长,且差异显著.本研究结果为我国深入开展驾驶员的选拔、培训与驾驶适应性检测提供理论依据与技术支持.     

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.     

Comparison of pedestrian behaviors between drivers and non-drivers in Chinese sample

Road safety is a serious problem worldwide. Pedestrians, as the most vulnerable road users, deserve more attention. The aims of this study were to examine the validity of the Chinese version of the pedestrian behavior scale (CPBS) in both driver and non-driver samples, and to compare pedestrian behaviors between the two samples. In addition, we assessed the association of attention with pedestrian behaviors by exploring the relationships among CPBS, Mindful Attention Awareness Scale (MAAS) and Attention-Related Cognitive Errors Scale (ARCES). Two groups were assessed, including 302 members in the population with driving experience and 307 individuals in the non-driver group without driving experience. All participants completed the CPBS, MAAS, and ARCES, and provided sociodemographic parameters. The results showed that the CPBS had acceptable internal consistency and stability structure. More importantly, pedestrian behaviors were significantly different between drivers and non-drivers. Drivers reported significantly less transgressive and aggressive behaviors compared with non-drivers. As for the relationship between attention and pedestrian behavior, the MAAS score showed a significant negative correlation with aggressive behavior in the CPBS among drivers, while the ARCES score had significant positive correlations with all three CPBS factors. In non-drivers, the MAAS score was negatively correlated with aggressive behavior and positively associated with positive behavior; the ARCES score was positively correlated with aggressive behavior.     

A comparison of car following behaviors: Effectiveness of applying statistical quality control charts to design in-vehicle forward collision warning systems

This study aims to evaluate the usability of the forward collision warning (FCW) system as adopted by the statistical quality control (SQC) chart design concepts on drivers’ car following behaviors and task performance. A total of 48 highly aggressive and 48 less aggressive drivers participated in a two (aggressive driving: high vs. low; between-subjects) by two (driving workload: high vs. low; within-subjects) by three (the FCW system: five-stages vs. X-bar vs. X-bar plus exponentially weighted moving-average (EWMA) control charts; between-subjects) mixed-factorial simulation experiment. The drivers’ behaviors, response time to divided attention (DA) tasks, as well as subjective workload and trust ratings were collected. Findings showed that drivers with the FCW’s assistance improved their car-following behaviors and that the FCWs with the SQC chart design concepts showed better results than the five-stage system. Drivers who used both SQC FCWs performed correspondingly in their car-following behaviors. However, the X-bar FCW aided drivers in responding to DA tasks much faster, and drivers felt less stressed and had more trust in using the X-bar FCW system than those who used the X-bar + EWMA FCW system.