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Analysis of characteristic driving operations can help develop supports for drivers with different driving skills. However, the existing knowledge on analysis of driving skills only focuses on single driving operation and cannot reflect the differences on proficiency of coordination of driving operations. Thus, the purpose of this paper is to analyze driving skills from driving coordinating operations. There are two main contributions: the first involves a method for feature extraction based on AdaBoost, which selects features critical for coordinating operations of experienced drivers and inexperienced drivers, and the second involves a generating method for candidate features, called the combined features method, through which two or more different driving operations at the same location are combined into a candidate combined feature. A series of experiments based on driving simulator and specific course with several different curves were carried out, and the result indicated the feasibility of analyzing driving behavior through AdaBoost and the combined features method.

AdaBoost was used to extract features and the combined features method was used to combine two or more different driving operations at the same location.

A series of experiments based on driving simulator and specific course with several different curves were carried out, and the result indicated the feasibility of analyzing driving behavior through AdaBoost and the combined features method.

There are two main contributions: the first involves a method for feature extraction based on AdaBoost, which selects features critical for coordinating operations of experienced drivers and inexperienced drivers, and the second involves a generating method for candidate features, called the combined features method, through which two or more different driving operations at the same location are combined into a candidate combined feature.

This study aims to explore the relationship between speed behavior of participants and driving styles on interchange ramps. A spiral interchange in Chongqing was selected as an experimental road to carry out field driving experiment.

The continuous operating speed during experiment was selected by Mobile Eye, and the driving style was selected via two inventories.

Different driving behaviors showed great differences in age, driving mileage and driving experience. During driving process, male pursued driving stimulation more, whereas female pursued driving steadiness more. Therefore, driving characteristics of male were more disadvantageous to driving safety than that of female. Except for the large speed difference at the entrance and exit of the ramps, the differences at other positions were small. And the operating speed of male was slightly higher than that of female. The difference between different genders at the ascending end position achieved 4–5 kph, and the difference at other feature points were mostly 1–2 kph. During driving process, risky participants were more likely to pursue driving stimulation, and the poor speed control behavior was reflected in wide range of desired operating speed. Based on the results of analyzing at feature points, melancholy and sanguine participants more tended to take a high operating speed, and the poor speed control behavior was reflected in the most widely desired speed range. The speed control behavior of mixed participants was more cautious.

Advanced driving assistance system combined with two inventories was used to explore difference of speed behavior.

Public service announcements (PSAs) are frequently used tools to try to change attitudes and behaviors on social issues, including texting and driving, which has been social problem for over a decade. However, the effectiveness of such PSA campaigns often meet with varying degrees of success, suggesting changes to current anti-texting and driving campaigns are needed. This study aims to examine how to design more effective anti-texting and driving PSA campaigns by identifying the elements of existing campaigns that have the strongest impact on attitude change.

In total, 682 respondents from Amazon’s Mechanical Turk participated in an online study in which they evaluated 162 real-world anti-texting and driving ads. Respondents evaluated the ads on various ad elements (i.e. type of appeal, source of emotion, discrete emotions and perceived creativity), as well as their attitudes toward the issue after seeing the ad.

PSAs that use emotional (vs rational) appeals, evoke emotion through imagery (vs text) and/or use fear (vs disgust, anger or guilt) result in the largest changes in attitude. In addition, more creative PSAs are more effective at changing attitudes.

Overall, the results provide useful information to social marketers on how to design more effective anti-texting and driving campaigns.

The purpose of this study is to compare driver knowledge, attitudes and perceptions (in terms of hazard, risk, accident, offence detection and driving skill perceptions) and self-reported driving style in a sample of 461 drivers before and after attending a UK driver improvement scheme for culpable collision-involved drivers, to inform future directions in the design of driver retraining programmes.

Participants were a sample of 461 drivers attending a UK 1.5 day driver improvement scheme course for culpable collision-involved drivers. The course contained classroom-based training and a practical driving component. Participants completed a driver improvement scheme questionnaire before and immediately after attending the 1.5-day course and again 3 months later.

Results indicated significant pre- and post-course effects in terms of increased driving safety with respect to driving knowledge, perceptions of control, perceived likelihood of accident-involvement, hazard perception and reported risk-taking. Key positive effects of reduced risk-taking and near-misses persisted three months after course completion.

One limitation of this study is that at the 3-month follow-up there was a reduction in the response rate (44.69%) which included significantly fewer young drivers.

Results indicate positive behavioural, perceptual and behavioural changes, along with specific age, gender and driving experience effects which have implications for the design of future driving courses.

This study has implications for community safety through enhanced road safety training measures.

The analysis of age, gender and driving experience effects of the impact of this driver improvement scheme will allow targeted training methods for specific groups of drivers.