Impacts of visual and cognitive distractions and time pressure on pedestrian crossing behaviour: A simulator study

Tian, Kai; Markkula, Gustav; Wei, Chongfeng; Sadraei, Ehsan; Hirose, Toshiya; Merat, Natasha; Romano, Richard

doi:10.1016/j.aap.2022.106770

Cited by 23 publications

(14 citation statements)

References 43 publications

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“…Research findings suggest that complete visual occlusion indeed simulates visual distraction from texting while walking (Krasovsky et al, 2017). Furthermore, complete visual occlusion has previously been used to simulate visual distraction from walking and texting (Tian et al, 2022; Foerster et al, 2014). The research is mixed on whether complete visual occlusion effectively simulates either congenitally blind or late-blind persons (Spiers et al, 2018; Akpinar et al, 2020).…”

Section: Methodsmentioning

confidence: 99%

See You on the Other Side: A Crosswalk Navigation System with Multimodal Alert System for Distracted and Visually Impaired Crosswalk Users

Werner,

Islam,

Nachiappan

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

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Distracted and visually impaired crosswalk users are at increased injury and death risk. A system that redirects the attention of distracted crosswalk users and helps both distracted and visually-impaired crosswalk users safely navigate crosswalks could mitigate that risk. We tested the effectiveness of four feedback systems on crosswalk navigation: no feedback (baseline), auditory (whistle), vibrotactile, and multimodal (auditory and vibrotactile). Twelve participants were recruited and blindfolded to cross an in-lab mock crosswalk. Analysis showed that multimodal auditory and vibrotactile feedback significantly increased the success rate of navigating through a crosswalk compared to the baseline. Among the participants, 83.3% (10 participants) preferred vibrotactile feedback, and 75% (9 participants) found vibrotactile feedback to be most intuitive. These findings can inform the development of infrastructure-embedded alert systems that promote the safety of distracted crosswalk users.

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Section: Methodsmentioning

confidence: 99%

See You on the Other Side: A Crosswalk Navigation System with Multimodal Alert System for Distracted and Visually Impaired Crosswalk Users

Werner,

Islam,

Nachiappan

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

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“…[75] In comparison, cognitive distractions, such as listening to music, might not significantly impact pedestrian perception. [44] Decision: At uncontrolled crossings without signal lights, pedestrians often interact with yielding or non-yielding vehicles. [31,36,76] In non-yielding scenarios, pedestrians usually make crossing decisions by evaluating gaps between approaching vehicles, known as gap acceptance behaviour (GA).…”

Section: Communicationsmentioning

confidence: 99%

“…[43,80] However, the latest evidence suggested that pedestrians who tended to wait were more cautious and less likely to accept risky gaps. [44][45][46] Regarding pedestrian heterogeneity, ANN and LR models were applied to characterise age impact on crossing decisions by Refs. [82,98].…”

Section: Communicationsmentioning

confidence: 99%

“…[109,110] Distractions, such as cellphone use, can reduce pedestrian walking speeds. [44] Walking behaviour can be simulated using microscopic pedestrian motion models, including cellular automata (CA) models, social force (SF) models, and learning-based approaches. CA models are discrete in space, time, and state, making them ideal for simulating complex dynamic systems such as pedestrianvehicle interactions.…”

Section: Communicationsmentioning

confidence: 99%

“…[43] However, substantial evidence indicated pedestrians who tended to wait were more cautious and less likely to accept risky gaps. [44][45][46] The relationship between traffic volume and pedestrian crossing behaviour is context-dependent, potentially influenced by the size and order of gaps in traffic. [47] Furthermore, the pedestrian movement toward the road, presence at the curb, and pedestrian head orientation could convey key implicit information to approaching vehicles.…”

Section: Communicationsmentioning

confidence: 99%

See 2 more Smart Citations

Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles

Crosato,

Tian,

Shum

et al. 2023

Advanced Intelligent Systems

Self Cite

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Interaction‐aware autonomous driving (IAAD) is a rapidly growing field of research that focuses on the development of autonomous vehicles (AVs) that are capable of interacting safely and efficiently with human road users. This is a challenging task, as it requires the AV to be able to understand and predict the behaviour of human road users. In this literature review, the current state of IAAD research is surveyed. Commencing with an examination of terminology, attention is drawn to challenges and existing models employed for modeling the behaviour of drivers and pedestrians. Next, a comprehensive review is conducted on various techniques proposed for interaction modeling, encompassing cognitive methods, machine‐learning approaches, and game‐theoretic methods. The conclusion is reached through a discussion of potential advantages and risks associated with IAAD, along with the illumination of pivotal research inquiries necessitating future exploration.

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Analysing the impact of socio-economic variables, travel characteristics, and psychological factors on the selection of crossing facilities under time pressure

Saxena,

Sarkar,

Jana

2024

Innov. Infrastruct. Solut.

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Impacts of visual and cognitive distractions and time pressure on pedestrian crossing behaviour: A simulator study

Cited by 23 publications

References 43 publications

See You on the Other Side: A Crosswalk Navigation System with Multimodal Alert System for Distracted and Visually Impaired Crosswalk Users

See You on the Other Side: A Crosswalk Navigation System with Multimodal Alert System for Distracted and Visually Impaired Crosswalk Users

Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles

Analysing the impact of socio-economic variables, travel characteristics, and psychological factors on the selection of crossing facilities under time pressure

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