How do older drivers perceive visual information under increasing cognitive load? Significance of personality on-road safety

Biernacki, Marcin; Lewkowicz, Rafał

doi:10.1016/j.aap.2021.106186

Cited by 5 publications

(3 citation statements)

References 55 publications

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“…Based on the synthesis of Biernacki and Lewkowicz [6], it was shown that senior drivers exhibited a greater level of satisfaction with NVE systems compared to younger drivers, although using these systems less often. In spite of some factors that may cause diversion within the system, older drivers expressed heightened feelings of security and assurance while using navigation assistance and exhibited a more favorable perception of the forward collision warning (FCW) in comparison to younger drivers.…”

Section: Overall Efficiency Of Use Of Novel In-vehicle Advancementmentioning

confidence: 99%

A Discussion of Key Aspects and Trends in Self Driving Vehicle Technology

Kim

2023

JMC

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Autonomous vehicles use remote-sensing technologies such as radar, GPS, cameras, and lidar to effectively observe their immediate environment and construct a comprehensive three-dimensional representation. The conventional constituents of this particular environment include structures, additional vehicles, people, as well as signage and traffic indicators. At now, a self-driving car is equipped with a wide array of sensors that are not found in a traditional automobile. Commonly used sensors include lasers and visual sensors, which serve the purpose of acquiring comprehensive understanding of the immediate environment. The cost of these sensors is high and they exhibit selectivity in their use requirements. The installation of these sensors in a mobile vehicle also significantly diminishes their operational longevity. Furthermore, the issue of trustworthiness is a matter of significant concern. The present article is structured into distinct parts, each of which delves into a significant aspect and obstacle pertaining to the trend and development of autonomous vehicles. The parts describing the obstacles in the development of autonomous vehicles define the conflict arising from the use of cameras and LiDAR technology, the influence of social norms, the impact of human psychology, and the legal complexities involved.

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Section: Overall Efficiency Of Use Of Novel In-vehicle Advancementmentioning

confidence: 99%

A Discussion of Key Aspects and Trends in Self Driving Vehicle Technology

Kim

2023

JMC

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“…However, studies show that older drivers experience a gradual decline in their physical and mental state, as well as a reduced ability to recognize and respond to dangerous traffic situations, which leads to an increase in their traffic risk compared to younger drivers [ [8] , [9] , [10] ]. In terms of visual ability and responsiveness, the effectiveness of visual attention transfer decreases as older drivers experience more difficult tasks while driving [ 11 ]. Attentional distraction leads to an increase in errors in visually distracting driving operations [ 12 ].…”

Section: Introductionmentioning

confidence: 99%

Research on driving behavior characteristics of older drivers based on drivers’ behavior graphs analysis

Guo

Li³

et al. 2023

Heliyon

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“…Drivers mainly rely on their vision to obtain information during driving. In this sense, driver vision is directly responsible for traffic safety [25,26]. Eye-tracking research began in the 1970s and has gained further development [27].…”

Section: Introductionmentioning

confidence: 99%

Study on the Driver Visual Workload of Bridge-Tunnel Groups on Mountainous Expressways

Zhang,

Bai,

Yin

et al. 2023

Applied Sciences

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Mountainous expressways with bridge-tunnel groups are characterized by complex environments and high driving risks, making them crucial sections for highway safety. This study applied eye-tracking techniques to evaluate driving safety and comfort in bridge-tunnel groups. Drivers’ pupil diameter and fixation point distribution were measured in real vehicle tests. The influence of tunnel length, adjacent tunnel spacing, and natural lighting on drivers’ pupil diameters were compared and analyzed. The maximum transient velocity of pupil area was introduced to describe the drivers’ visual load and driving comfort. The results indicate that the driving workload reaches its maximum in the first tunnel in bridge-tunnel groups and is positively correlated with the tunnel length in other sections. Excessive or insufficient distance between adjacent tunnels is detrimental to driving comfort. The driving workload is higher at night compared to during the day. Moreover, the greater tunnel length in bridge-tunnel groups and the larger number of tunnels, suggest a higher driving workload for drivers. Above all, strengthening the design and management of bridge-tunnel groups in mountainous expressways is necessary.

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How do older drivers perceive visual information under increasing cognitive load? Significance of personality on-road safety

Cited by 5 publications

References 55 publications

A Discussion of Key Aspects and Trends in Self Driving Vehicle Technology

A Discussion of Key Aspects and Trends in Self Driving Vehicle Technology

Research on driving behavior characteristics of older drivers based on drivers’ behavior graphs analysis

Study on the Driver Visual Workload of Bridge-Tunnel Groups on Mountainous Expressways

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