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Driving tracking, or the observation of actual and naturalistic driving, is an effective approach for understanding and assessing the driving behaviors of older drivers. However, limited information is available regarding the effects of data collection duration on the characteristics of driving behavior. This study examined how different data collection durations (2 weeks and 1, 3, 6, and 12 months) influence older drivers' long-term driving behavior, specifically rapid deceleration events (RDEs). Analysis of the varying durations revealed common tendencies related to low-mileage bias (LMB) as well as differences in the likelihood of RDE occurrence. These factors were incorporated into predictive models, with values estimated using negative binomial regression across the different data collection durations. The results indicated that the characteristics of driving behavior differ between short-term (2 weeks and 1 month) and long-term (3, 6, and 12 months) data collection. Finally, this study provides insights into establishing a methodology for tracking driving behavior in older adults.
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Misako Yamagishi (2025) studied this question.
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