#NOVICE DRIVERS OFTEN BLANK TO DECELERATE DRIVER#
The absence of data regarding pre-crash driver performance and behavior motivated the development of naturalistic data collection techniques. Law enforcement officials most often have no way of knowing what was occurring in the vehicle during the seconds leading up to a crash. Specifically, drivers involved in a crash are often unable, are unaware, are impaired by injury, or are purposely trying to avoid prosecution or embarrassment when reporting pre-crash behaviors and events. However, these sources of data have serious limitations, particularly in the case of risk estimates. Implications are described for policy makers and designers of in-vehicle and nomadic, portable systems.įor many years, estimates of the prevalence and risk associated with inattention and distraction have been based upon epidemiological data from crash databases, or, in the case of prevalence, observational studies typically conducted from a roadside vantage point. Truck drivers also perform a number of risky “mobile office” types of tasks, including writing, not seen in the other populations. Additionally, novice teen drivers have difficulty in several tasks that the other two populations do not, including eating and external distractions.
#NOVICE DRIVERS OFTEN BLANK TO DECELERATE MANUAL#
The results show that secondary tasks involving manual typing, texting, dialing, reaching for an object, or reading are dangerous for all three populations.
When such risk is considered in combination with frequency of use, it sheds additional light on those secondary tasks that create the greatest overall risk to driving safety. Relative risk estimates provide insight into the risk associated with engaging in a single task. Through metadata analysis, three populations of drivers (i.e., adult light vehicle, teenaged light vehicle, and adult heavy vehicle) were compared regarding frequency of secondary task behavior and the associated risk for safety-critical incidents. By using in situ naturalistic driving data, estimates of prevalence and risk can be made regarding driver populations’ secondary task distractions and crash rates.
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