2021
DOI: 10.1049/itr2.12150
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The influence of landscape intervention used as an alertness maintaining ‘tool’ on driving behaviour

Abstract: Monotony, caused by deficiencies in the visual reference, can increase the risk of road accidents. This paper focuses on using landscape intervention as an alertness maintaining ‘tool’ to counter monotony. Therefore, a driving simulator experiment with four different scenes was designed. One is the control group with no landscape. The other three are landscapes with different spatial patterns. The spatial patterns were treatments combing the different graphic shapes and different enclosure degrees. Twenty‐six … Show more

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Cited by 6 publications
(3 citation statements)
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“…Currently SampEn has been applied to assess the complexity of physiological time series (EEG, sEMG, etc.) (61)(62)(63).…”
Section: Discussionmentioning
confidence: 99%
“…Currently SampEn has been applied to assess the complexity of physiological time series (EEG, sEMG, etc.) (61)(62)(63).…”
Section: Discussionmentioning
confidence: 99%
“…It is mainly composed of flat grassland with few humanistic landscapes, and the landscape color along the road is monotonous. Furthermore, the terrain and morphology changes on the whole line are small, which is represented by the large radius of the vertical curve (the longitudinal slope is mostly concentrated below 2%) and the monotonous horizontal alignment dominated by long straight lines connected with large radius curves (the length of the straight line is about 80%, and the radius of the flat curve is more than 4000m for more than 60%) [51]. So, drivers are in a low workload driving state most of the time during driving [51].…”
Section: Figure 1 the Four Components Of The Seev Modelmentioning
confidence: 99%
“…Furthermore, the terrain and morphology changes on the whole line are small, which is represented by the large radius of the vertical curve (the longitudinal slope is mostly concentrated below 2%) and the monotonous horizontal alignment dominated by long straight lines connected with large radius curves (the length of the straight line is about 80%, and the radius of the flat curve is more than 4000m for more than 60%) [51]. So, drivers are in a low workload driving state most of the time during driving [51]. But when an intersection appears ahead, the drivers' information perception and cognitive demand will increase instantaneously, which may result in disorder of drivers' attention allocation and sudden increase in mental workload.…”
Section: Figure 1 the Four Components Of The Seev Modelmentioning
confidence: 99%