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Explaining Senior Drivers’ Road Near Misses Using Both Self-reported and Automatic Collected Data

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Advances in Human Aspects of Transportation (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 786))

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Abstract

This paper reports on part of the French MEDOC Project that was supported by Foundation MAIF, Paris, France [grant number RP4-F14140]. The main goal of this project was to understand near miss situations using both objective and subjective methods for data collection: the vehicle dynamics and registered driver’s actions; and the self-reported conditions that led to the occurrence and self-reported road users’ actions to avoid an accident. The collected data allowed for comparing reported ones. The project involved a total of 154 drivers. However, this paper just addresses the group of 27 older drivers. Although older drivers are generally considered safe and cautious drivers, age-related perceptual and cognitive declines might have an impact on self-perception of their own abilities and behavior leading some of them to be under or over-estimators, which will influence their perception of any sudden event. Thus, this study is important to compare their self-reports with the collected data from sensors.

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Notes

  1. 1.

    An incident at the wheel is defined as a dangerous event that, in the absence of a corrective action performed by the driver or other road user, would lead to an accident. The corrective action could be a sudden break, an important acceleration and/or an abrupt wheel movement. The driver him/herself and/or any other road user could be at the origin of the incident.

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Correspondence to Patricia Delhomme .

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Delhomme, P., Simoes, A., Carvalhais, J., Palat, B., Saint Pierre, G. (2019). Explaining Senior Drivers’ Road Near Misses Using Both Self-reported and Automatic Collected Data. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2018. Advances in Intelligent Systems and Computing, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-93885-1_66

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  • DOI: https://doi.org/10.1007/978-3-319-93885-1_66

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93884-4

  • Online ISBN: 978-3-319-93885-1

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