PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
November 20, 2025Accident Analysis & PreventionOpen Access

Modelling cognitive load using drift-diffusion models in pedestrian street-crossing: a method supported by neural evidence

View Full Paper
Ask AI
Bookmark
Share

Authors

SMSiwei MaXYXuedong YanLMLu Ma

Discussion

Loading...

Member takes

Overview

Simulation of cognitive load affects decision-making on street-crossings, indicating risks for road safety.

Key Points

  • Cognitive load negatively impacts pedestrian decision-making in street-crossing scenarios, leading to higher collision risk.
  • Increased cognitive load resulted in longer response times and reduced crossing probability when cars approached.
  • Experimental analysis with drift-diffusion models monitored pedestrian behavior under varying time-to-arrival conditions.
  • Findings highlight the critical role of cognitive load in driving unsafe pedestrian crossing behaviors, necessitating further investigation.

Cite This Study

Ma et al. (2025) studied this question.

synapsesocial.com/papers/6924e405c0ce034ddc34f922https://doi.org/10.1016/j.aap.2025.108310
View Full Paper
Ask AI
Bookmark
Share