Spare visual capacity and driver inattention in dynamic car following scenarios
Kujala, T., & Sarkar, A. (2024). Spare visual capacity and driver inattention in dynamic car following scenarios. Transportation Research Part F: Traffic Psychology and Behaviour, 104, 506-521. https://doi.org/10.1016/j.trf.2024.06.017
Julkaistu sarjassa
Transportation Research Part F: Traffic Psychology and BehaviourPäivämäärä
2024Tekijänoikeudet
© 2024 The Author(s). Published by Elsevier Ltd.
Drivers often look away from the forward roadway. However, this does not necessarily mean that they are inattentive, as they might be utilizing their spare visual capacity (SVC). Because of the safety–critical risks associated with inattentive driving, it is imperative to analyze how much visual capacity a driver can afford to use for secondary activities while avoiding the possibility of an accident. This study aimed to define and identify driver inattention in a car following task based on an estimate of the driver’s situational SVC. A mathematical model of SVC in car following was created based on the possible but unlikely worst-case scenario in any situation. The model generates situation-specific marginal values of the minimum time that can lead to a possible collision when a driver looks away from the lead car. A classification algorithm was developed to define and identify inattention based on the model’s estimates. The model reveals that SVC in car following varies significantly from situation to situation, depending on relevant situational, technical, and cognitive factors. A driving simulator study (N = 32) indicated that drivers are often willing to occlude themselves in car following when there is a chance of a rear-end collision and that this behavior becomes more likely with higher speeds. A strong linear association between distance headway and brake response time was also found. Quantifying SVC in driving helps in determining driver inattention against a valid baseline based on what is possible. The proposed modeling approach can be utilized for the development of improved safety guidelines and effective context-sensitive (in)attention monitoring systems.
...
Julkaisija
ElsevierISSN Hae Julkaisufoorumista
1369-8478Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/220968085
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Rahoittaja(t)
Suomen AkatemiaRahoitusohjelmat(t)
Akatemiahanke, SALisätietoja rahoituksesta
This research was supported by the Academy of Finland (Appropriate Uncertainty in Manual and Automated Driving, Grant 343259).Lisenssi
Samankaltainen aineisto
Näytetään aineistoja, joilla on samankaltainen nimeke tai asiasanat.
-
Investigating the situational dynamics of visual information sampling in lateral vehicle control : Subjective vs. objective estimates of spare visual capacity
Grahn, Hilkka; Kujala, Tuomo; Hautaoja, Toni; Salvucci, Dario D. (Elsevier, 2024)Drivers continually adapt their information sampling behavior to changing traffic conditions for safe driving. Scientists have studied this sampling behavior for decades; however, the literature on how drivers adapt their ... -
The Attentional Demand of Automobile Driving Revisited: Occlusion Distance as a Function of Task- Relevant Event Density in Realistic Driving Scenarios
Kujala, Tuomo; Mäkelä, Jakke; Kotilainen, Ilkka; Tokkonen, Timo (Sage Publications, Inc.; Human Factors and Ergonomics Society, 2016)Objective: We studied the utility of occlusion distance as a function of task-relevant event density in realistic traffic scenarios with self-controlled speed. Background: The visual occlusion technique is an established ... -
Refining distraction potential testing guidelines by considering differences in glancing behavior
Grahn, Hilkka; Taipalus, Toni (Elsevier, 2021)Driver distraction is a recognized cause of traffic accidents. Although the well-known guidelines for measuring distraction of secondary in-car tasks were published by the United States National Highway Traffic Safety ... -
Beliefs and attitudes of Australian learner drivers toward driving and avoiding driving through floodwater
Hamilton, Kyra; Keech, Jacob J.; Peden, Amy E.; Hagger, Martin S. (Elsevier BV, 2023)Driving through floodwater is a significant cause of flood-related injury and mortality, and opportunities exist to embed safe driving messages regarding floodwaters to novice drivers in graduated driver licensing schemes. ... -
Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG
Zuo, Xin; Zhang, Chi; Cong, Fengyu; Zhao, Jian; Hämäläinen, Timo (IEEE, 2022)Driver distraction diverting drivers' attention to unrelated tasks and decreasing the ability to control vehicles, has aroused widespread concern about driving safety. Previous studies have found that driving performance ...
Ellei toisin mainittu, julkisesti saatavilla olevia JYX-metatietoja (poislukien tiivistelmät) saa vapaasti uudelleenkäyttää CC0-lisenssillä.