Can a video-based hazard perception test used for driver licensing predict crash involvement?

In 2008, the state of Queensland in Australia introduced a video-based hazard perception test as part of the licensing process for new drivers. A key validity check for such a test is whether scores are associated with crash involvement. We present data demonstrating that drivers who failed the hazard perception test (based on a ROC curve-derived pass mark) were 25% [95% confidence interval (CI) 6%, 48%] more likely to be involved in an active crash (defined as a crash occurring while the driver's vehicle was moving but they were not engaged in parking or reversing) during a one year period following the test (controlling for driving exposure, age, and sex). Failing drivers were also 17% (95% CI 6%, 29%) more likely to have been involved in active crashes prior to the test, in the period since obtaining their provisional license. These data support the proposal that the hazard perception test is a valid measure of crash-related driving performance.

The longer-term effects of a brief hazard perception training intervention in older drivers.

Previous research has shown that drivers aged over 65 years can improve their scores in video-based hazard perception tests following training interventions. In order to examine the longer-term effects of hazard perception training, we recruited 75 drivers aged 65 and over. They either received a 35-min hazard perception training intervention or a placebo intervention. Significant decreases in hazard perception response time as a result of the training were found immediately after the intervention, and approximately 1 month and 3 months later. There was no significant decay in the training effect over this time period.

Are what happens next exercises and self-generated commentaries useful additions to hazard perception training for novice drivers?

We investigated whether self-generated commentaries and what happens next exercises are useful additions to hazard perception training. Two hundred and thirty-three novice drivers experienced one of four different video-based training interventions derived from an existing hazard perception training package: (1) what happens next training; (2) expert commentary training; (3) hybrid commentary training (i.e., expert plus self-generated commentaries); or (4) the full training package (i.e., what happens next plus hybrid commentary training). There was also a placebo control condition. Drivers' hazard perception skill was measured using video-based tests featuring real driving footage at three times: immediately prior to the intervention; immediately post-intervention; and after a one-week delay. Compared to the placebo control, all training interventions significantly improved hazard perception response times immediately after the intervention. The full training resulted in the largest improvement, and the what happens next training the least. The addition of self-generated commentaries to the expert commentary training (hybrid commentary condition) did not significantly improve response times. The what happens next training was found to be significantly less effective than the expert commentary training condition both immediately after the intervention, and also after a one week delay. All training effects decayed significantly after the delay, but the effect of full training remained significant. Although no benefit was found in adding self-generated commentaries to expert commentaries, the possibility remains that the what happens next exercises may provide an additional benefit when combined with commentary training. The results provide further support for hazard perception training as an evidence-based alternative to traditional methods of improving novice driver safety.

Even highly experienced drivers benefit from a brief hazard perception training intervention.

We examined the proposal that hazard perception ability is suboptimal even in highly experienced mid-age drivers. First, we replicated previous findings in which police drivers significantly outperformed highly experienced drivers on a validated video-based hazard perception test, indicating that the ability of the experienced participants had not reached ceiling despite decades of driving. Second, we found that the highly experienced drivers' hazard perception test performance could be improved with a mere 20 min of video-based training, and this improvement remained evident after a delay of at least a week. One possible explanation as to why hazard perception skill may be suboptimal even in experienced drivers is a dearth of self-insight, potentially resulting in a lack of motivation to improve this ability. Consistent with this proposal, we found no significant relationships between self-ratings and objective measures of hazard perception ability in this group. We also found significant self-enhancement biases in the self-ratings and that participants who received training did not rate their performance (either in real driving or in the test) as having improved, contrary to what was indicated by their objective performance data.

The effects of driving experience on responses to a static hazard perception test.

Novice drivers exhibit deficits in hazard perception that are likely to increase their risk of collisions. We developed a static hazard perception test that presents still images to observers and requires them to indicate the presence of a traffic conflict that would lead to a collision. Responses to these scenes were obtained for young adult novice (N=29) and experienced drivers (N=27). Additionally, participants rated the hazard risk and clutter of each scene. Novice drivers rated traffic conflicts as less hazardous and responded more slowly to them. Using a subset of 21 scenes, we were able to discriminate novice and experienced young adult drivers with a classification accuracy of 78% and a scale reliability (Cronbach's alpha) of .91. The potential applications of this research include the development of standardized hazard perception tests that can be used for driver evaluation, training and licensure.

The development and validation of a hazard perception test for use in driver licensing.

Drivers' hazard perception is the ability to identify dangerous situations on the road ahead. We detail the development and validation of a new computer-based hazard perception test to be used for driver licensing purposes in Queensland, Australia. We proposed five principles of effective hazard perception test creation, which we used to guide development of the test. In Study 1, the video-based instructions for the test were found to be intelligible to non-native English-speakers with an effective English reading age of 10 years. In Study 2, experienced drivers were found to be faster at responding to hazards in the test than learner drivers (independent of simple reaction time or ability to use the response device), providing evidence for test validity. We found no evidence of gender, income, or educational differences in hazard perception scores. The results of both experiments confirm the efficacy of the five principles, and provide support for the validity of the QT-HPT and its suitability for use in the graduated driver licensing system.

A hazard perception test for novice drivers.

We developed a hazard perception test, modeled on that used currently in several Australian states, that presents short video scenes to observers and requires them to indicate the presence of a traffic conflict that would lead to a collision between the "camera" vehicle and another road user. After eliminating those scenes that were problematic (e.g., many observers did not recognize the hazard), we predicted driver group (novice vs. experienced drivers of similar age) on the basis of individual differences in reaction time, miss rate and false alarm rate. Novices were significantly slower in responding to hazards, even after controlling for age and simple reaction time. After selecting those scenes with the larger group differences, an 18-scene test that would be useful for mass testing exhibited even larger experience effects. There was good reliability in the resulting scale. Results suggest that this brief test of hazard perception can discriminate groups that differ in driving experience. Implications for driver licensing, evaluation and training are discussed.

Improving older drivers' hazard perception ability.

One reason that older drivers may have elevated crash risk is because they anticipate hazardous situations less well than middle-aged drivers. Hazard perception ability has been found to be amenable to training in young drivers. This article reports an experiment in which video-based hazard perception training was given to drivers who were between the ages of 65 and 94 years. Trained participants were significantly faster at anticipating traffic hazards compared with an untrained control group, and this benefit was present even after the authors controlled for pretraining ability. If future research shows these effects to be robust, the implications for driver training and safety are significant.

A brief office-based hazard perception intervention for drivers with ADHD symptoms.

OBJECTIVE: The aim of this study was to develop a simple and brief hazard perception training intervention tailored to meet the needs of male drivers with attention-deficit-hyperactivity disorder symptoms. METHODS: Twenty male drivers with attention-deficit-hyperactivity disorder symptoms were quasi-randomly assigned to either a hazard perception training package (trained group) or a control intervention video (untrained group), presented in an office setting. Video-based hazard perception tests involving real-life driving scenes were conducted both before and after the interventions. RESULTS: The hazard perception response times of the trained group significantly improved compared with the untrained group, t (18) = 3.21, p < 0.005. CONCLUSIONS: Significant improvements in hazard perception response times in male drivers with attention-deficit-hyperactivity disorder symptoms were found following the training intervention. This indicates that such training has potential for inclusion in a management plan for reducing the crash rates of this high risk group of drivers. The training is practical, quick, and affordable, and has the potential to translate into real-world driving outcomes.

Hazard perception in novice and experienced drivers: the effects of sleepiness.

One driver skill that has been found to correlate with crash risk is hazard perception ability. The purpose of this study was to investigate how hazard perception latencies change between high and low sleepiness for a high risk group (novice drivers) and a lower risk group (experienced drivers). Thirty-two novice drivers (aged 17-24 years) and 30 experienced drivers (aged 28-36) completed a validated video-based hazard perception test, in which participants were asked to anticipate genuine traffic conflicts in footage filmed from the driver's perspective, with separate groups tested at either 10a.m. (lower sleepiness) or at 3a.m. (higher sleepiness). We found a significant interaction between sleepiness and experience, indicating that the hazard perception skills of the more experienced drivers were relatively unaffected by mild increases in sleepiness while the inexperienced drivers were significantly slowed. The findings suggest that the disproportionate sleepiness-related accident involvement of young, inexperienced drivers could be partly due to a slowing of their ability to anticipate traffic hazards.