Teen and Novice Drivers: The Road from Research to Practice

2016 ◽  
pp. 337-353
2020 ◽  
pp. 51-56
Author(s):  
Т.В. Кочетова ◽  
А.В. Погодина ◽  
М.А. Харченко

В настоящей статье представлены результаты экспериментального исследования динамики когнитивного компо- нента социальной установки начинающих водителей. Приведены данные анализа психометрических показателей, характеризую- щих уровень осведомленности о факторах риска дорожно-транспортной среды, – вождение в нетрезвом состоянии и скоростное вождение. Показано, как дополнительные знания об этих факторах риска приводят к изменению установки на безопасное вождение и в дальнейшем могут обусловливать количество реальных нарушений правил дорожного движения в течение первого года стажа водительскойдеятельности. This article presents the results of an experimental research of the dynamics of the cognitive component of the social attitudes of novice drivers. The data of the analysis presents the psychometric indicators that characterized of knowledge about the risk factors of the road safety – drunk driving and speeding driving. This research shows how additional knowledge about these risk factors leads to a change in the social attitude towards safe driving and can determine the number of the violations of the traffic rules during the first year of driving experience.


2021 ◽  
Vol 67 (4) ◽  
pp. 1-8
Author(s):  
Jacob Adedayo Adedeji ◽  
Xoliswa Feikie

Road traffic fatality is rated as one of the ten causes of death in the world and with various preventive measures on a global level, this prediction is only placed on flat terrain and didn’t reduce. Nevertheless, road users’ communication is an essential key to traffic safety. This communication, be it formal or informal between the road users is an important factor for smooth traffic flow and safety. Communication language on roads can be categorized into; formal device-based signal (formal signal), formal hand signal (formal signal), informal device-based signal (informal signal), and informal gesture-based signal (everyday signal). However, if the intent of the message conveys is not properly understood by the other road user, mistakes and errors may set in. Overall, the formal signal is based on explicit learning which occurs during the driving training and the license testing process and the informal, implicit learning occur during the actual driving process on the road unintentionally. Furthermore, since the informal signal is not a prerequisite to driving or taught in driving schools, novice drivers are clueless and thus, might have contributed to errors and mistakes which leads to traffic fatalities. Therefore, this study seeks to document the informal means of communication between drivers on South African roads. Consequently, a qualitative semi-structured interview questionnaire would be used in the collection of informal signals, which were predominantly used on South African roads from driving instructors and thereafter, a focus group of passengers’ car, commercial and truck drivers will be used to validate the availability and their understanding of these informal signals using a Likert-type scale for the confidence level. In conclusion, the information gathered from this study will help improve road safety and understanding of road users especially drivers on the necessity of communication and possible adaptation for other developing countries.


Author(s):  
Narelle Haworth ◽  
Matthew Legge ◽  
Divera Twisk ◽  
Jennifer Bonham ◽  
Tyler O’Hare ◽  
...  

To understand where driver training should focus to contribute to improving the safety of cyclists, this study compared bicycle-motor-vehicle (BMV) crashes involving novice drivers (under 25 years) with those involving experienced drivers in the Australian states of Victoria, Queensland, and South Australia. Novice drivers were involved in only a small proportion of BMV crashes and were not over-represented on a per-license basis. For both driver groups, most crashes happened on lower speed roads, at intersections, and during the day. In contrast to expectations, the distribution of types of BMV crashes differed little between experienced and novice drivers. The absence of major differences between experienced and novice drivers may result from learning opportunities being too infrequent in low-volume cycling countries, but this hypothesis needs further testing. A comparison between Queensland and Victoria showed three situations with a higher proportion of young driver crashes: in the evening in both states, Right through-opposing directions (Victoria only), and From footway-maneuvering (Queensland only). These patterns are likely to be indicative of young driver experiences. When their time on the road increases, so does their exposure to risk and to challenging driving conditions (e.g., driving in darkness). On the other hand, these patterns may also point to effects of legislation on young driver crashes, for instance cycling on the sidewalk in Queensland. The results suggest that training for novice drivers needs to supplement a wider strategy to improve cyclist safety (including infrastructure and traffic management improvements) and that training needs to be tailored to state-specific conditions.


2021 ◽  
Vol 67 (4) ◽  
pp. 1-8
Author(s):  
Jacob Adedayo Adedeji ◽  
Xoliswa E Feikie

Road traffic fatality is rated as one of the ten causes of death in the world and with various preventive measures on a global level, this prediction is only placed on flat terrain and didn’t reduce. Nevertheless, road users’ communication is an essential key to traffic safety. This communication, be it formal or informal between the road users is an important factor for smooth traffic flow and safety. Communication language on roads can be categorized into; formal device-based signal (formal signal), formal hand signal (formal signal), informal device-based signal (informal signal), and informal gesture-based signal (everyday signal). However, if the intent of the message conveys is not properly understood by the other road user, mistakes and errors may set in. Overall, the formal signal is based on explicit learning which occurs during the driving training and the license testing process and the informal, implicit learning occur during the actual driving process on the road unintentionally. Furthermore, since the informal signal is not a prerequisite to driving or taught in driving schools, novice drivers are clueless and thus, might have contributed to errors and mistakes which leads to traffic fatalities. Therefore, this study seeks to document the informal means of communication between drivers on South African roads. Consequently, a qualitative semi-structured interview questionnaire would be used in the collection of informal signals, which were predominantly used on South African roads from driving instructors and thereafter, a focus group of passengers’ car, commercial and truck drivers will be used to validate the availability and their understanding of these informal signals using a Likert-type scale for the confidence level. In conclusion, the information gathered from this study will help improve road safety and understanding of road users especially drivers on the necessity of communication and possible adaptation for other developing countries.


PeerJ ◽  
2019 ◽  
Vol 6 ◽  
pp. e6119 ◽  
Author(s):  
Markus T. Mattsson

The way people behave in traffic is not always optimal from the road safety perspective: drivers exceed speed limits, misjudge speeds or distances, tailgate other road users or fail to perceive them. Such behaviors are commonly investigated using self-report-based latent variable models, and conceptualized as reflections of violation- and error-proneness. However, attributing dangerous behavior to stable properties of individuals may not be the optimal way of improving traffic safety, whereas investigating direct relationships between traffic behaviors offers a fruitful way forward. Network models of driver behavior and background factors influencing behavior were constructed using a large UK sample of novice drivers. The models show how individual violations, such as speeding, are related to and may contribute to individual errors such as tailgating and braking to avoid an accident. In addition, a network model of the background factors and driver behaviors was constructed. Finally, a model predicting crashes based on prior behavior was built and tested in separate datasets. This contribution helps to bridge a gap between experimental/theoretical studies and self-report-based studies in traffic research: the former have recognized the importance of focusing on relationships between individual driver behaviors, while network analysis offers a way to do so for self-report studies.


Author(s):  
Helen Altman Klein ◽  
Eric John Vincent ◽  
Judith J. Isaacson

Skilled driving requires complex cognitive and recognitional abilities. We used a Cognitive Task Analysis (CTA) and a low tech simulation to study experience linked differences in these abilities. Inexperienced (n=18) and experienced (n=17) drivers participated. The inexperienced drivers struggled with control. They worked to keep their car between the lines and execute turns. In time, automatized performance replaced conscience control. Some situations, like icy roadways, were automatized later than others. As driving reached automaticity, drivers began attending to a wider range of cues. They predicted and avoided problems. A broader view of the roadway emerged in parallel with the development of anticipation. We also observed that experienced drivers were more likely to know their limits and adopted effective compensatory strategies. The Dreyfus & Dreyfus (1986) model of expertise is used to describe these systematic changes. Protocol analysis suggested guidelines for training novice drivers and for upgrading skills of long term drivers.


2021 ◽  
Vol 13 (15) ◽  
pp. 8613
Author(s):  
Najah Al-Garawi ◽  
Muhammad Abubakar Dalhat ◽  
Omer Aga

Background: Recently (in 2018), females were legally allowed to drive and use automobiles in Saudi Arabia (SA) for the first time. This study investigated and analyzed the general fear of driving (GFDS), perceived self-confidence (PSCR), socio-economic variables, demographic distribution, and self-reported RTCs in novice female drivers from SA. Methods: The work was based on survey responses from 9608 participants from the first generation of female drivers from SA. Factor analysis was used to extract GFDS and PSCR scales. Results: Cronbach’s α values of 0.781 and 0.800 were observed for GFDS and PSCR, respectively. Logistic regression was employed to model road traffic collisions (RTCs) as a function of all significant variables. The results showed that of the 17.4% of geographically distributed respondents who reported RTCs, only 4% reported severe or minor injuries, and the rest (96.0%) of the accidents involved property damage. The GFDS and PSCR values showed a positive association with the RTCs of novice female drivers. Furthermore, age was not a significant influencing factor in the RTCs of novice female drivers. However, exposure factors were positively associated with the risk of RTC involvement. Conclusions: Female novice drivers who were single, divorced/widowed, employed, and had higher individual incomes were at higher risk of getting into RTCs. The female drivers who hired personal trainers, compared to those who did not, exhibited similar chances of getting involved in RTCs. An extra on-road in-traffic driving lesson is suggested to be included in the new-driver license training program for drivers with higher GFDS in SA.


2019 ◽  
Vol 34 (5) ◽  
pp. 787-787
Author(s):  
J D Schmidt ◽  
R C Lynall ◽  
L B Lempke ◽  
H Devos

Abstract Purpose To describe post-concussion driving management practices and opinions among athletic trainers (ATs) and to compare practices across highest earned degree, setting, and years certified. Methods A survey weblink was emailed to a convenience sample of 8,723 ATs (10.8% response rate [945/8723]; years certified=14.5±10.7; years worked clinically=12.4±9.4). The validated survey captured AT driving management practices and opinions (agreement on a seven-point Likert scale). We compared the percentage of patients instructed to refrain from driving across highest earned degree, setting, and years certified using Kruskal-Wallis tests (alpha=0.05). Results When asked whether they recommended concussed patients refrain from driving, 58.5% of ATs responded “sometimes” (n=553/945), 37.9% responded “always” (n=358/945), and 3.6% responded “never” (n=34/945). ATs most commonly: recommended patients refrain from driving until symptom resolution (44.7%, n=399/892); utilized their clinical exam to determine readiness to return-to-drive (64.9%, n=579/892); and provided instructions verbally (94.2%, n=840/892). ATs agreed that “patients that are impaired by a concussion are a danger on the road”, but only somewhat agreed that “patients with suspected concussion should not drive a motor vehicle until cleared to do so by a medical professional” (median=5). High school (60.5±37.6%) and clinic-based ATs (66.5±31.2%) trended towards higher percentages of patients instructed to refrain from driving relative to college (52.3±38.2%; H(2)=5.92,p=0.052). No other differences observed. Conclusion ATs recommend driving restrictions to some, but not all, concussed patients. ATs recognize post-concussion driving dangers, but do not strongly endorse refraining from driving after concussion. High school and clinic-based ATs may manage more adolescent novice drivers and, therefore, act more conservatively.


Author(s):  
Prerana Rane ◽  
Hyungil Kim ◽  
Juan Lopez Marcano ◽  
Joseph L. Gabbard

Studies have shown that experts are more sensitive to changes in the road scene than novice drivers, and use the driving patterns of other cars to infer important information. A tool that can help bridge the gap between experts and novices may be augmented reality (AR), which can be used to graphically overlay virtual information onto the real world that may not otherwise be easily inferred. In this paper, we propose an AR interface that aims to improve the sensation, attention, situation awareness and decision making of international drivers who are new to the United States (US). We present results of a preliminary study that identifies the needs of novice international drivers as well as an AR interface design created to support these needs. Contextual inquiry and analysis techniques were used to extract the needs of novice international drivers. Based on observations, iterative designs and a prototype were developed that merge AR and audio feedback. Lastly, the prototype was evaluated by two usability experts, who performed a heuristic walkthrough based on the principles of human information processing. The experts conclude that the interface has the potential of increasing the sensation, attention, situation awareness and decision making while reducing the mental workload of novice international drivers. Future work will include an empirical study to support the observations of the analytical evaluation presented herein.


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