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As one of the advanced automotive chassis technologies, the steer-by-wire system offers a high level of precision, responsiveness, and controllability in the driving experience. It can also adjust and optimize parameters to adapt to the preferences of different drivers. However, when faced with the steer-by-wire system, both experienced drivers and novice drivers are in the novice stage, exhibiting learning or adaptation behaviors when using this steering system. In this paper, a small-scale pilot evaluation was conducted by means of a questionnaire survey and driving-simulator experiment, and the learning behavior and adaptability of four experienced and four novice drivers to the steer-by-wire system were analyzed when using the traditional steering system. The study found that experienced drivers show significant changes in their adaptation to the steering system, mainly due to their habitual driving with traditional steering systems. In contrast, novice drivers show no significant changes in their adaptation to the steering system, which is attributed to their lack of driving experience and skills, resulting in less sensitivity to changes in the steering system. Additionally, the study found that novice drivers under the steer-by-wire system grasp control over speed and steering-wheel angle more quickly. This research provides a reference for improving drivers' learning and adaptation abilities to the steer-by-wire system and optimizing the design of the steer-by-wire system.

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BACKGROUND: The effects of traffic sign information volume (TSIV) on the visual characteristics and workload of novice and experienced drivers were investigated in this study. TSIV plays a crucial role in road traffic safety, and understanding its impact on drivers is essential for designing effective traffic sign systems. OBJECTIVE: This research aimed to compare the visual characteristics and workload of novice and experienced drivers under varying TSIV doses through simulated driving tests. The objective was to provide insights for optimizing the design of road TSIV. METHODS: Six TSIV levels were considered: S0, S1, S2, S3, S4, and S5, representing different workload levels. Participants, including both novice and experienced drivers, were involved in simulated driving scenarios with varying TSIV levels. Eye movement data was collected using an eye tracker device. The study was conducted in China, and appropriate driving simulators and equipment were utilized. RESULTS: The findings revealed several valuable results. Experienced drivers exhibited a higher proportion of saccade behavior in the 30-90 ms time period and did not show rapid saccade behavior during the 0-30 ms period, indicating superior visual search strategies. Both novice and experienced drivers demonstrated improved visual cognitive abilities at the S3 level of TSIV, which corresponds to normal and safe driving conditions. Furthermore, a majority of both groups had saccade amplitudes in the range of 0°-4°, with experienced drivers showing a slightly higher proportion. About 82% of experienced drivers had saccade behavior within the range of 0°-2°, compared to 75% of novice drivers. CONCLUSIONS: The study concludes that the S3 level of TSIV, corresponding to 30 bits/km, is optimal for both novice and experienced drivers. This level promotes better visual performance and reduces visual workload, indicating that drivers' information acquisition capacity and visual search strategies are maximized while keeping the workload associated with driving at a minimum. These findings have significant implications for enhancing driving safety.

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A variety of road hazard perception training programmes have been proposed recently, based on the assumption that these skills contribute to lower crash rates across different countries. However, the long-term effectiveness of suggested programmes has been under-investigated. The main objective of this study is to explore the long-term effectiveness of online hazard perception training for experienced drivers and examine the moderating role of driving self-efficacy. Fifty-six experienced drivers (21 males and 35 females) were assigned to the experimental (n = 31) or the control (n = 25) group. The experimental group received two 45 min session interventions; the control group received no intervention. The effectiveness of the programme was tested by the change in scores of Lithuanian hazard prediction test (HPT) LHP12 that was conducted before training (pre-test), immediately after training (post-test) and six months after training (follow-up). The twelve-item Adelaide Driving Self-Efficacy Scale (ADSES; George et al., 2007) was used to measure self-reported driving self-efficacy at the pre-test. The results revealed a significant increase in hazard prediction scores immediately after training, but the short-term effect of training decayed at follow-up. Experienced drivers with higher self-efficacy developed better hazard prediction skills during training. The results confirmed short-term effectiveness of the programme.

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This study explored the effect of music on the driving performance of experienced young adult drivers with and without autism spectrum disorder (ASD) using an interactive driving simulator with two types of scenarios. A 2 (Group: autism/neurotypical) × 2 (Music: music/no music) × 2 (Scenario: hazards/wayfinding) factorial design was used with the order of scenarios and music conditions counterbalanced. Participants were 34 neurotypical drivers and 5 drivers with ASD, all with at least 3 years of driving experience. Paired sample t-tests demonstrated no effect of music for any condition. Overall, the drivers with ASD had higher performance means than the neurotypical group with significant differences in the wayfinding scenario and the category for following regulations. Neurotypical drivers had better performance on the wayfinding scenario than the hazard scenario in maneuvers and being attentive to the environment. Although this study had a low number of drivers with ASD, it suggests drivers with ASD can perform better than neurotypical drivers, possibly because they follow road rule guidelines more consistently than neurotypical peers. In addition, this is the first study to examine wayfinding skills in teens/young adults with and without ASD.

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Scholars suggest that improving hazard perception (HP) skills among different road users can lead to safer driving. To this end, a small number of countries have developed a national hazard perception test for their licensing procedures. The purpose of the current research is to develop and validate a new video-based hazard prediction test for the Lithuanian driving context. Eighty-eight drivers participated in the study. Initially, 25 naturalistic clips were included and edited into a hazard prediction test following the "what happens next?" paradigm. The overall score of the test was higher for experienced drivers when compared with novices. On further inspection the overall group difference was driven by 12 clips. The Lithuanian Hazard Perception test HPT-LIT featuring static images (Tuske et al., 2019) and Hazard Perception Questionnaire developed by White et al. (2011) were used to validate the new test. This new version of the test (12 clips, LHP12) showed acceptable psychometric properties. Drivers with less driving experience demonstrated poorer hazard prediction skills than experienced drivers. The results revealed a negative correlation between hazard prediction scores on LHP12 and crash involvement in the novice driver group, as well as a positive correlation between prediction scores and self-reported hazard prediction skills. It was concluded that the new Lithuanian hazard test shows potential for future research.

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The neural mechanisms underlying hazard perception are poorly understood as to how experience leads to better driving skills. In this study we used functional magnetic resonance imaging (fMRI) to examine experience-related changes in brain activation during hazard perception task between novice and aged drivers. Additionally, region of interest (ROI) and seed-to-voxel analyses were conducted to examine experience-related functional connectivity changes during visual attention and saliency networks between novice (n=15, age 22.13 ± 3.38 years years) and experienced (n=16, age 41.44 ± 5.83 years) drivers. Experienced drivers had significantly lower hazard perception reaction time (1.32 ± 1.09 s) and miss rates (11.42 ± 8.36 %) compared to the novice (3.58 ± 1.45 s and 39.67 ± 15.72 %, respectively). Blood oxygen level dependent (BOLD) activation increased in occipital, parietal and frontal areas when executing hazard perception task in both groups. In general, during the task execution, experienced drivers showed greater activation in the occipital lobe, supramarginal gyrus (SMG), right anterior insular cortex (AIC), anterior cingulate cortex (ACC) and cerebellar regions compared to the novice drivers indicating more efficient visual attention and decision-making process during hazard perception task. Seed based functional analyses during the hazard perception task revealed greater connectivity between the ACC and the entire salience network (visual attention network) in the experienced group. Additionally, ACC had higher functional connectivity with the right frontal eye field (FEF), bilateral intraparietal sulcus (IPS) and lateral occipital areas in the experienced group. Our results suggest that better hazard perception in the experienced drivers is due to increase in the activation of executive attention regions and higher functional connectivity between bilateral occipital cortices and salience network. In conclusion, better hazard perception is highly dependent on emotional awareness, perception of motion velocity, spatial representation of the environment and executing control.

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Novice drivers are statistically over-represented in reported road crashes, with recent evidence suggesting that some of this increased crash involvement may be a result of limitations in their cognitive processing. Such processing has typically been measured by recording drivers' patterns of eye movements, however, the exact ways in which eye movements are reported and interpreted varies substantially between different studies in the literature. Therefore, the objective of this systematic review was to investigate whether novice drivers and experienced drivers do differ in clear and reproducible ways in their visual search. Studies were identified through searches of Web of Science, Medline, TRID Database, and the TRB Research in Progress Database, with no restrictions on publication status. Studies were included if they compared the visual search of a novice driver group (<3 years driving experience) and an experienced driver group (>3 years driving experience) using an eye tracking method and reported at least one of the following four visual search outcomes: fixation durations, horizontal spread of search, vertical spread of search and number of fixations. Two reviewers independently screened searches and assessed the full texts of potentially included studies. Of the 235 studies initially identified 18 were included in the review, with 13 studies reporting sufficient data to be included in the meta-analysis for at least one outcome measure. Given that the included studies deployed a range of method types, additional sub-group analyses were conducted using this factor. Sensitivity analyses were also conducted by temporarily removing extreme experience groups (e.g. driving instructors and learner drivers) in order to test the effect of different levels of experience and training. The meta-analyses, along with support from results discussed narratively, revealed that novice drivers have a narrower horizontal spread of search compared to experienced drivers, however, there were no overall differences in fixation durations, vertical spread of search or number of fixations when the studies were pooled together. These findings have important primary implications for the development of novice training interventions, with novice drivers needing to develop a broader horizontal spread of visual search, but not to necessarily learn to fixate further down the road. Subgroup analyses also provided considerations for future research studies in terms of the experience of the driver groups, and the method type used.

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Distraction constitute one of the 'five fatal' behaviours that contribute to road trauma, and some people may be more susceptible to it than others. It is also known that a greater ability to predict danger is related to a lower probability of suffering accidents. It could be hypothesised that drivers with a higher tendency to distraction are worse at predicting traffic hazards, but to what extent might driving experience serve to mitigate this tendency to distraction? The current study collected self-reported attentional errors from drivers by using the Attention-Related Driving Errors Scale (ARDES-Spain) in order to examine whether novice drivers suffered from inattention more than experienced drivers. The results demonstrated that novice drivers scored more highly on ARDES than experienced drivers. ARDES scores were then related to performance in a Hazard Prediction test, where participants had to report what hazard was about to happen in a series of video clips that occlude just as the hazard begins to develop. While experienced drivers were better at the Hazard Prediction test than novice drivers, those participants who reported fewer attention errors were also better able to detect the upcoming hazard following occlusion. In addition, our results demonstrate a relationship between self-reported attentional errors and the ability to predict upcoming hazards on the road, with driving experience having a moderating role. In the case of novice drivers, as their scores in the Manoeuvring Errors ARDES factor increase, their ability in Hazard Prediction diminishes, while for experienced drivers the increase is not significant. Guidance on how to improve training for drivers in order to mitigate the effects of inattention on driving safety can be addressed.

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OBJECTIVE: In this study, we aimed to demonstrate analysis methods that are sensitive to speed-related differences between experienced and young novice drivers. These differences may be linked to determining which group is better at anticipating hazards. BACKGROUND: Awareness of hazardous situations, especially potential ones, is a major discriminator between experienced and young novice drivers who tend to misidentify potential hazards in the traffic environment. METHOD: Experienced and young novice drivers were asked to drive a sequence of 14 scenarios in a driving simulator. Scenarios were created in two city areas, residential and business district, and included various types of hazards. Group homogeneity of speed for each group of drivers was computed for each scenario, and two business district scenarios were subjected to piecewise linear regression analysis. RESULTS: Group homogeneity analysis showed consistent and significant experience-based differences across all scenarios, revealing that the experienced drivers as a group were more homogenous in choosing their driving speed. Differences between groups were larger in the business district where speed was less restricted. Piecewise linear regression analysis revealed that experienced drivers approached uncontrolled intersections by slowing down and responded earlier to materialized events. CONCLUSION: Young novice drivers were more likely than experienced drivers to choose diverse values of speed at any given road section, presumably due to their poor awareness of potential and hidden hazards. Unlike other analysis methods, it is argued that group homogeneity of speed is a more sensitive measurement to reveal these gaps. APPLICATION: Speed management could be the basis of future hazard anticipation simulator assessments.

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OBJECTIVE: The aim of the current study is to develop and obtain valid evidence for a hazard perception test suitable for the Spanish driving population. To obtain valid evidence to support the use of the test, the effect of hazardous and quasi-hazardous situations on the participants' hazard prediction is analyzed and the pattern of results for drivers with different driving experience--that is, learner, novice, and expert drivers and reoffender vs. nonoffender drivers--is compared. Potentially hazardous situations are those that develop without involving any real hazard (i.e., the driver did not actually have to decelerate or make any evasive maneuver to avoid a potential collision). The current study analyzed repeat offender drivers attending compulsory reeducation programs as a result of reaching the maximum number of penalty points on their driving license due to repeated violations of traffic laws. METHOD: A new video-based hazard perception test was developed, using a total of 20 hazardous situation videos plus 8 quasi-hazardous situation videos. They were selected from 167 recordings of natural hazards in real Spanish driving settings. RESULTS: The test showed adequate psychometric properties and evidence of validity, distinguishing between different types of drivers. Psychometric results confirm a final version of the hazard perception test composed of 11 video clips of hazards and 6 video clips of quasi-hazards, for which an overall Cronbach's alpha coefficient of.77 was obtained. A lack of ability to detect quasi-hazards and distinguish them from hazardous situations was also found for learner, novice, and reoffender drivers. Learner drivers obtained lower average scores than novice and experienced drivers with the hazardous situation videos, and learner drivers obtained lower average scores than experienced drivers with the quasi-hazardous situation videos, suggesting that the ability to correctly identify hazardous traffic situations may develop early by accumulating initial driving experience. However, the ability to correctly identify quasi-hazardous situations may develop later with the accumulation of further driving experience. Developing this ability is also difficult for reoffender drivers. CONCLUSION: The test has adequate psychometric properties and is useful in distinguishing between learner, novice, and expert drivers. In addition, it is useful in that it analyzes the performance of both safe and unsafe drivers (reoffenders who have already lost their driving license).

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