The automobile driving performance of 18 mildly demented subjects was compared to that of 18 normal elderly and 18 mid-age controls. Driving tasks were grouped according to a three-level hierarchical model that characterizes driving as a problem solving skill involving (a) low-level vehicle control skills, (b) intermediate level manoeuvring skills in response to on-road events, and (c) higher level driving-related judgemental abilities. Driving simulator measures of brake reaction time and steering accuracy were selected to represent the lowest level of hierarchy. A Motor Vehicle Branch (MVB) road test and a test of emergency braking distance indexed the intermediate level. Driving-related judgment was assessed by evaluating the accuracy of subjects' appraisals of their own driving skills, and by examining whether the demented subjects evidenced an increased level of driving avoidance that might be commensurate with the extent of their driving deficits. Overall the demented subjects performed significantly less well than did controls on the driving behaviour measures. Particularly striking were their deficits at the highest and lowest levels of the hierarchical task analysis. They were markedly impaired on the driving simulator tasks and they showed a clear tendency to over-estimate their driving competence relative to their actual performance. However, from a practical standpoint it was noted that despite significant group differences at the intermediate level, the overlap in performance scores between the demented and the normal elderly was considerable for these in-car tasks. Also, although the mildly demented subjects had significantly more demerit points on the MVB road test than did the elderly controls, nearly 70% were able to pass the licensing exam. Mildly demented drivers might best be characterized as having marginal driving abilities, a fact which may pose considerable challenges to clinicians and policy makers. A second component of the study involved evaluation of the correlations between the driving measures and several common psychometric tests of attention, perception, and psychomotor speed. After group membership was accounted for, the psychometric tests failed to add precision to the prediction of driving performance.

The automobile driving performance of 18 mildly demented subjects was compared to that of 18 normal elderly and 18 mid-age controls. Driving tasks were grouped according to a three-level hierarchical model that characterizes driving as a problem solving skill involving (a) low-level vehicle control skills, (b) intermediate level manoeuvring skills in response to on-road events, and (c) higher level driving-related judgemental abilities. Driving simulator measures of brake reaction time and steering accuracy were selected to represent the lowest level of hierarchy. A Motor Vehicle Branch (MVB) road test and a test of emergency braking distance indexed the intermediate level. Driving-related judgment was assessed by evaluating the accuracy of subjects' appraisals of their own driving skills, and by examining whether the demented subjects evidenced an increased level of driving avoidance that might be commensurate with the extent of their driving deficits. Overall the demented subjects performed significantly less well than did controls on the driving behaviour measures. Particularly striking were their deficits at the highest and lowest levels of the hierarchical task analysis. They were markedly impaired on the driving simulator tasks and they showed a clear tendency to over-estimate their driving competence relative to their actual performance. However, from a practical standpoint it was noted that despite significant group differences at the intermediate level, the overlap in performance scores between the demented and the normal elderly was considerable for these in-car tasks. Also, although the mildly demented subjects had significantly more demerit points on the MVB road test than did the elderly controls, nearly 70% were able to pass the licensing exam. Mildly demented drivers might best be characterized as having marginal driving abilities, a fact which may pose considerable challenges to clinicians and policy makers. A second component of the study involved evaluation of the correlations between the driving measures and several common psychometric tests of attention, perception, and psychomotor speed. After group membership was accounted for, the psychometric tests failed to add precision to the prediction of driving performance. / Arts, Faculty of / Psychology, Department of / Graduate

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Graduation date: 2004 / Best scan available. Text at top of each page is blurry or missing on original copy.

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Thesis (PhD)--University of Stellenbosch, 2003. / ENGLISH ABSTRACT: The problem of how the mind relates to the brain stands as one of the greatest challenges today. The materialistic worldview and pragmatic approach to social problems are both being transformed by discoveries of how human experience and culture arise in cerebral activity. Even so, this effort, spearheaded by neuroscience, has seen the important and contentious issue of driver behaviour somehow been left behind. From an extensive literature study, it can be concluded that gross disregard of the neural underpinnings of such behaviour tied to a behaviouristic approach is endemic to the field. Numerous qualitative psychological models (each associated with debates about their validity) and Artificial Intelligence models, which effectively only imitate robots 'impaired' to display some humanlike characteristics, were come across. Although neural networks are derived from current knowledge of computation within the brain and deployed in industry, human driver behaviour modelling is not benefiting from this revolution in humanlike information processing. To date, very little has been done to determine what makes road users speed, drive while drunk, overtake, or yield at crossroads. As the central nervous system is the human measuring device in and of the world and thus key affector of human behaviour, it is ofutrnost importance to invest resources in 'inoculating' the field of driver behaviour modelling onto a robust basis provided by neuroscience. Being a human driver incorporates a broad complement of interrelated brain systems to perform driving tasks (psychological functions) at hand, such as lane keeping, speed choice, risk perception, and obstacle avoidance. The proper level of analysis of such a psychological function is the level at which that function is represented in the brain. Providing a theoretical model of human behaviour, based on biological facts of the brain as a whole, is surely a challenge for decades to come, but the field of driver behaviour should be part of such an effort. Collaboration is needed among investigators from the fields of neuroscience, psychology, mathematics, computer science, and engineering to further driver behaviour modelling. It is uncommon that professionals from these fields have a thorough understanding of the other fields involved, but the author, not pretending to be an expert, argues that such a union of fields will be of significant value not only to transportation, but all behavioural sciences. The wealth of to-date knowledge amassed in neuroscience lies ready to be tapped by researchers interested in explaining human driver behaviour. To this end, the use of modem brain-imaging techniques will be invaluable in pinning down the neural correlates of particular driving subtasks, bearing in mind the extent of structural impacts on the brain of each individual, brought about by a lifetime of interaction with the environment. Thus, based on the findings of this literature study, the author proposes that supplementary work be conducted by a multi-disciplinary team to roll-out an experiment to study the nature of environmental stimuli as instigators of aggression and road rage, by drawing on knowledge about brain imaging and (amygdala) activation. / AFRIKAANSE OPSOMMING: Die vraagstuk hoe die verstand [denke] met die brein in verband staan, is een van die grootste uitdagings tans. Die materialistiese wêreldbeskouing sowel as die pragmatiese benadering van maatskaplike probleme word verander deur ontdekkings aangaande die wyse waarop menslike ervaring en kultuur hul in serebrale aktiwiteit voordoen. Desondanks is in hierdie poging, met die neurowetenskap aan die spits, die belangrike en omstrede kwessie van bestuurdersgedrag om een of ander rede agterweë gelaat. Uit 'n uitgebreide literatuurstudie kan afgelei word dat grootskaalse verontagsaming van die neurale basis van sodanige gedrag gekoppel aan 'n behavioristiese benadering endemies is aan die gebied. Talle kwalitatiewe sielkundige modelle en kunsmatige intelligensiemodelle is teëgekom, elk gepaard met debatte oor die geldigheid daarvan. Hoewel neurale netwerkmodelle gebaseer word op huidige kennis van verwerking binne die brein en ontplooi word in die industrie, trek menslike bestuurdersgedragmodellering nie voordeel uit hierdie revolusie in neurale inligtingsverwerking nie. Tot op hede is baie min gedoen om vas te stel waarom padgebruikers jaag, dronkbestuur, verbysteek of by kruispaaie toegee. Aangesien die sentrale senuweestelsel die menslike meettoestel in en van die wêreld is en dus die sleutelbeïnvloeder van menslike gedrag is, is dit van die uiterste belang om middele te investeer in die fundering van die gebied van bestuurdersgedragmodellering op 'n stewige basis daargestel deur die neurowetenskappe. Om'n menslike bestuurder te wees behels 'n omvattende komplement van verbandhoudende breinstelsels om bestuurstake (sielkundige funksies) te verrig, soos spoedkeuse, risikowaarneming en die vermyding van obstruksies. Die gepaste ontledingsvlak van so 'n sielkundige funksie is die vlak waarop daardie funksie in die brein verteenwoordig word. Die daarstelling van 'n teoretiese model van menslike gedrag, gebaseer op biologiese feite van die brein in die geheel, is gewis nog vir komende dekades 'n uitdaging, maar die gebied van bestuurdersgedrag moet deel uitmaak van so 'n pogmg. Samewerking is nodig tussen navorsers uit die neurowetenskappe, sielkunde, wiskunde, rekenaarwetenskap en ingenieurswese om bestuurdersgedragmodellering te bevorder. Dit is ongewoon dat vakkundiges uit hierdie velde 'n deeglike begrip het van die ander gebiede wat betrokke is, maar die outeur, sonder om voor te gee dat hy 'n deskundige is, betoog dat so 'n samesnoering van vakgebiede van betekenisvolle waarde sal wees, nie net vir die vervoerwese nie, maar ook vir al die gedragwetenskappe. Die omvang van die jongste kennis wat in die neurowetenskappe vergaar is, lê gereed om deur navorsers benut te word wat belang stel in die verklaring van menslike bestuurdersgedrag. Met dié doel sal die gebruik van moderne breinskanderingstegnieke van onskatbare waarde wees om die neurale korrelate van bepaalde bestuursubtake vas te pen, gedagtig aan die omvang van strukturele impakte op die brein van elke indiwidu teweeggebring deur 'n leeftyd van interaksie met die omgewing. Daarom, gebaseer op die bevindinge van hierdie literatuurstudie, stel die outeur voor dat addisionele werk gedoen word deur 'n multi-dissiplinêre span ten einde 'n eksperiment uit te voer, waarin die aard van stimuli uit die omgewing, wat lei tot padwoede, bestudeer kan word, met inagneming van die beskikbare kennis oor breinskandering en (amygdala) -aktiveringpatrone.

Previous research regarding the relationship between speeding behavior and crashes suggests that drivers who engage in frequent and extreme speeding behavior are over-involved in crashes. However, many of these earlier studies relied on estimates of prevailing and pre-crash speeds, and as a result, their conclusions have been questioned. Over the last several years automotive manufacturers have begun installing airbag systems that collect and maintain accurate pre-crash speeds. Though, patterns of driver speeding behavior are also necessary to discern whether drivers who regularly participate in speeding have increased risk of crash involvement. This dissertation presents a framework and methods for quantifying and analyzing individual driver behavior using instrumented vehicles. The goals of the research were threefold: 1) Develop processing methods and observational coding systems for quantifying driver speeding using instrumented vehicle data; 2) Develop a framework for analyzing aggregate and individual driver speeding behavior; and 3) Explore the potential application of behavioral safety concepts to transportation safety problems. Quantitative assessments of driver speeding behavior could be used in combination with event data recorder data to analyze crash risk. Additionally, speed behavior models could aid in the early identification of problem behavior as well as in the development of targeted countermeasure programs. For this research, 172 instrumented vehicles from the Commute Atlanta program were utilized to collect individual driver speeding behavior. Continuous monitoring capabilities allowed the capture of speed and location for every second of vehicle operation. Driver speeds were then matched to road networks and subsequently to posted speed limits using a geographic information system. This allowed differences between the drivers speed and the posted speed. Several processes were developed to assess the accuracy and the completeness of the data prior to analysis. Finally, metrics and analysis frameworks were tested for their potential usefulness in future behavioral risk analysis. The results of the research were both positive and staggering. On average, nearly 40% of all driving activity by the sample population was above the posted speed limit. The amount and extent of speeding was highest for young drivers. Trends indicate that speeding behavior decreases in amount and extent as age increases.

This pragmatic study consists of four cross-sectional and two inter-linked longitudinal studies designed to review two classroom-based interventions aimed at modifying driving related attitudes and self-reported driving behaviour. Subjects, (N=451), were divided into three groups. Subjects in Group 1 (N=176), learned to drive, passed the driving test and completed a questionnaire schedule. Group 2 subjects, (N=123), in addition to the above, attended classroom-based predriver training course while learning to drive. The subjects in Group 3, (N= 152), after learning to drive, received a classroom-based post-driver training course \\ithin three months of passing the driving test. Questionnaires were issued as the subjects started driver training (Time I), on passing the driving test (Time 2), three months post-test (Time 3) and nine months post-test (Time 4). The ftrst study, Time I, tested the predictive ability of Ajzen's (1985, 1988) Theory of Planned Behaviour with regard to the intentions of new drivers to conform to the social and legal conventions of driving and was successful in explaining 34% of the variance. Study two, Time 2, tested for increased driving knowledge and additional driving motives between groups for effects of the pre-driving test intervention. No support for this type of intervention was found. Study three, Time 3, assessed the performance of a post-test intervention informed by the Health Belief Model (Rosenstock, 1966) and Protection Motivation Theory (Rogers, 1975). Using the Drivers Skil1s Inventory (Lajunen and Summala, 1995), results revealed that subjects in Group 3 perceived themselves to be signiftcantly less skilled and less safe. Study four, Time 4, was designed to test for effects of both interventions at nine-months post-test The results revealed that only those subjects in Group 3 had better behavioural intentions with regard to speeding behaviour. Overall no support was found for pre-driver training. However, limited support was found for post-driver training in influencing self-reported driving behaviour.

Research has suggested that affective states have critical effects on various cognitive processes and performance. Evidence from driving studies has also emphasized the importance of driver situation awareness (Endsley, 1995b) for driving performance and safety. However, to date, no research has investigated the relationship between affective effects and driver situation awareness. Two studies examined the relationship between a driver's affective states and situation awareness. In Experiment 1, 30 undergraduates drove in a simulator after either anger or neutral affect induction. Results suggested that an induced angry state can degrade driver situation awareness and driving performance more than the neutral state. Interestingly, the angry state did not influence participants' perceived workload. Experiment 2 explored the possibilities of using an "attention deployment" emotion regulation strategy as an intervention for mitigating angry effects on driving, via an adaptive speech-based system. 60 undergraduates drove the same scenario as in Experiment 1 after affect induction with different intervention conditions: anger with no sound; anger with the ER system: directive/ command style emotion regulation messages; anger with the SA system: suggestive/ notification style situation awareness prompts; or neutral with no sound. Results showed that both speech-based systems can not only enhance driver situation awareness and driving performance, but also reduce the anger level and perceived workload. Participants rated the ER system as more effective, but they rated the SA system as less annoying and less authoritative than the ER system. Based on the results of Experiment 2, regression models were constructed between a driver's affective states and driving performance, being mediated by situation awareness (full mediation for speeding and partial mediation for collision). These results allow researchers to construct a more detailed driver behavior model by showing how an affective state can influence driver situation awareness and performance. The practical implications of this research include the use of situation awareness prompts as a possible strategy for mitigating affective effects, for the design of an affect detection and mitigation system for drivers.

This project will address the increasing problem of violence on our nations roadways. This form of violence, termed road rage, is also occurring worldwide.